Indigenous Groups Demand Change at COP30

The United Nations Climate Change Conference, or COP, brings together nearly every country annually for a “multilateral decision-making forum on climate change.” Leaders in business, science, governance, and civil society organizations attend to “strengthen global, collective and inclusive climate action.” In the first organized protests at a major climate summit since 2021, thousands of Indigenous activists marched the streets of Belém, Brazil, the site of COP30 in 2025, to demand action on a range of issues. COP30 Executive Director Ana Toni stressed that the protestors had legitimate concerns and that Brazil’s democratic government allows for “different forms of protest.” Protestors travelled from across South America to call for Indigenous representation in the formulation of global climate policy and to spotlight local Indigenous land sovereignty issues.  

Leaders at COP30 climate panel
Leaders discuss climate action at COP30 panel. By: peopleimages.com. Source: Adobe Stock. Asset ID#: 1782077705

Demand for Demarcation 

Signs at the marches read “demarcation now,” demanding that states, particularly Brazil, transfer legal ownership of land to Indigenous peoples. Brazil’s Minister for Indigenous Peoples, Sonia Guajajara, echoed the protesters’ sentiment, claiming that one goal of COP30 is to ensure that “countries recognise the demarcation of Indigenous lands as climate policy.” Demarcation is more than an issue of sovereignty or law; it is also a strategy for environmental conservation. Indigenous communities tend to their local forests and bodies of water using unique cultural knowledge. Some research suggests that Indigenous caretaking can enhance wildlife biodiversity, decrease deforestation, and mitigate disease. The UN’s Declaration on the Rights of Indigenous Peoples (UNDRIP) recognizes that Indigenous cultural practices “[contribute] to sustainable and equitable development and proper management of the environment.”  

Amid the encroachment of mining companies and the recent authorization of oil drilling near the mouth of the Amazon River, one Indigenous leader stated, “We want our lands free from agribusiness, oil exploration, illegal miners and illegal loggers.” He also said, “We can’t eat money,” critiquing the focus on climate finance at previous COP summits while environmental degradation continues.

Advocates have called for the Brazilian government to abandon the marco temporal legal theory, which holds that only lands allotted to Indigenous peoples during the 1988 adoption of the Brazilian constitution are eligible for demarcation.

In a breakthrough, the Brazilian government announced at COP30 that it would, for the first time since 2018, demarcate ten Indigenous lands. The UNDRIP states that redress, including land repatriation, should be provided to Indigenous peoples whose property was taken without their consent. All 193 UN member states have adopted the UNDRIP, but it is a non-binding declaration, meaning states must decide whether to incorporate its ideals in their national laws. Brazil’s demarcation efforts exemplify the commitments outlined in the UNDRIP.

Violence in Guarani-Kaiowá

The murder of Guarani and Kaiowá Indigenous peoples during the final week of COP30 by private security forces demonstrates the importance of demarcation and protection of Indigenous lands and their peoples. Attacks on the Guarani and Kaiowá communities over land disputes in the state of Mato Grosso Do Sul, Brazil, have an ongoing history. In 2024, the head of UN Human Rights in South America called for land demarcation and a full investigation into these attacks. In the Guarani-Kaiowá struggle to regain sovereignty over their land, which has largely been lost to agribusiness, activists and spokespersons have been targeted by security forces allegedly hired by estate owners 

Global Witness has tracked murders and disappearances of environmental defenders since 2012, and Indigenous leaders, particularly in Central and South American countries, are overrepresented among the victims of these attacks. According to the report, extractive, land, and agribusiness industries have been linked to these attacks. These attacks underscore the importance of demarcation for Indigenous peoples in South America. 

Indigenous woman walks on a mountainside in Peru.
Indigenous woman walks on a mountainside in Peru. By: sayrhkdsu. Source: Adobe Stock. Asset ID#: 451597782

Brazil’s Environmental Policy 

Before the conference, the Brazilian government positioned itself as a climate leader, but some have criticized the current administration’s inconsistent attitude toward environmental conservation. President Luiz Inácio Lula da Silva has overseen a significant reduction in deforestation, which was ramped up under former President Bolsonaro’s leadership, but some environmental groups have denounced the recent authorization of oil drilling near the Amazon River. The president argues that oil will remain a necessity for years to come and that Brazilians should profit from it. Others point to the Amazon rainforest’s crucial role in storing carbon and reducing global atmospheric greenhouse gases. Some evidence suggests that the Amazon could become a savannah in the coming years as deforestation and drought intensify.  

Like Brazil’s broader environmental policy, recent actions have included successes for Indigenous rights, as well as failures to protect marginalized groups. The country recently undertook the Ywy Ipuranguete, or “Beautiful Land, initiative, which aims to strengthen Indigenous-led land management efforts across fifteen Indigenous lands, accounting for six million hectares of land. The Brazilian Biodiversity Fund states, “the project focuses on strengthening sustainable territorial management.” When Indigenous communities are given access to collective property rights over land, there is a marked decrease in deforestation in these areas. Experts at a 2019 UN conference highlighted the importance of Indigenous participation in conservation efforts. 

The Federal Prosecutor’s Office in Brazil is suing the mining company Vale and the Brazilian government for “heavy metal contamination in the bodies of Xikrin Indigenous people.” The company’s nickel mining contaminated the Catete River and Indigenous lands, the lawsuit alleges. A study conducted by the Federal University of Para found nickel levels as high as 2,326% above the safe limit in one woman.  

Aerial view of Amazon rainforest in Brazil.
Aerial view of Amazon rainforest in Brazil. By: Curioso.Photography. Source: Adobe Stock. Asset ID#: 339931047

COP30 Outcome 

Brazil’s tepid attitude towards climate policy reflects the results of COP30. While $5.5 billion was raised for the Tropical Forests Forever Fund, with 20% going to Indigenous communities, the Conference fell short of an explicit commitment to move away from fossil fuels—despite a warning from scientist Carlos Nobre before the final talks that continuing fossil fuel use beyond 2040 will lead to catastrophic temperature increases, collapsing the Amazon rainforest ecosystem. UN leadership emphasized the significance of a multilateral agreement in an era of geopolitical strife, despite the agreement’s limitations. The COP30 president, André Corrêa do Lago, conceded that “some […] had greater ambitions for some of the issues at hand,” acknowledging the gap between the Indigenous protestors’ demands for a radical change in climate policy and the material commitments made at the Conference. 

In a potent moment of recognition for Indigenous grievances, do Lago held an Indigenous baby before leading a group of protestors to an hours-long discussion. Indigenous participation in COP30 yielded wins for Indigenous communities, even if the global commitments did not go as far as some hoped. 15 governments agreed to support the Intergovernmental Land Tenure Commitment, which will “collectively recognise and strengthen 160 million hectares of Indigenous Peoples and local community lands” across tropical forest regions. While progress in the fight for environmental protection and Indigenous rights is staggered, Indigenous protestors made their presence felt at COP30, showing the world that Indigenous participation in environmental conservation matters. 

 

The Silent Epidemic: Why Syphilis is Surging

Syphilis is an infection that has killed millions over the span of centuries and affected key figures like Al Capone and Edouard Manet. When the life-changing development of antibiotics arrived, it brought the disease under control, and, for years, syphilis outcomes improved. However, syphilis is on the rise again across the world. In 2025 alone, more than 20 babies in Hungary have died of congenital syphilis, which means they contracted the disease from their mothers. The advancement of syphilis is occurring not just abroad, but domestically, as well. In Mississippi, there has been an 80% increase in recent cases and a 1000% increase in congenital syphilis in the last six years. The global danger of the resurgence of the disease represents a medical danger and a failure to uphold the right to health. As syphilis is a preventable and treatable disease, these rising cases globally expose inequities in healthcare access, surveillance, and social determinants of health. 

What is Syphilis?

Syphilis is caused by Treponema pallidum bacteria and is a sexually transmitted infection. Women can also pass the disease to their babies during pregnancy; this is considered congenital syphilis. The development of the infection is broken up into four different stages: primary, secondary, latent, and tertiary. 

Each stage is categorized by different outcomes and demonstrates the development of the disease. The primary stage is categorized by the appearance of a sore; though it is a minor sight, testing and treatment is still critical at this stage to ensure that the infection does not transition into the secondary stage. This next stage is categorized by the appearance of rashes and symptoms like swollen lymph glands and a fever. Treatment is critical at this stage as it addresses key symptoms and prevents the development of latent and tertiary stages. Latent stage represents a short period in which there are no signs or symptoms; this tends to induce no urgency for treatment, which in turn can result in further disease transmission and congenital syphilis. The tertiary stage, which is the final stage, includes significant damage to organ systems and can result in death. There is also the risk of development of neurosyphilis, which is when the disease spreads into the nervous system, ocular syphilis, which is when syphilis spreads to the eye, and otosyphilis, which is when the bacteria spreads to the ear. This type of spread can occur at any stage and compounds the debilitating nature of the illness. 

When syphilis remains unchecked, it violates the right to health.

Treatments and Prevention

Key interventions for syphilis include medical tests, for example a treponemal test, which is a blood test that is often given after certain physical symptoms appear and which indicates whether the patient has ever had syphilis. Latent infections require serologic testing, which identifies antibodies in a patient’s blood to identify that there is either a current infection or that there has been a previous infection. Gathering this information is critical, considering this stage of syphilis is categorized by no symptoms or signs. Upon testing and confirmation of the presence of syphilis, usually penicillin is administered; this intervention is quite successful but poses a risk for individuals who are allergic to penicillin and those who have limited access to healthcare providers who can not only administer the medicine but also educate the patient about the appropriate treatment regime. 

Syphilis prevention consists of general safe sex tips, such as condom usage, consistent testing, and communication with sexual partners. These practices, however, are restricted by disparities observed across the globe. For example, data suggests that there is a negative association between a region’s Social Demographic Index and unsafe sex; this contributes to the risk of sexually transmitted infections, including syphilis, that rise as a region’s Social Demographic Index (an indicator that is composed of “total fertility, per capita income, and average years of education“) falls. 

Photo 1: Rapid point-of-care syphilis test.Source: Wikimedia Commons: CDC Public Domain
Photo 1: Rapid point-of-care syphilis test. Source: Wikimedia Commons: CDC
Public Domain

The Global Surge of Syphilis

Global disparities have enabled a surge of syphilis. From 2020 to 2022, the number of new adult syphilis cases across the globe increased from 7.1 million to 8.0 million; this correlates to a global prevalence of active syphilis of 0.6% in 2022. The burden is also observed in congenital cases. In 2022, the congenital case rate was 523 per 100,000 live births, representing over 390,000 adverse birth outcomes including stillbirths, low-birth weights, and neonatal deaths. 

Beyond the global statistics that demonstrate the general outcomes of the disease, it is critical to understand the burden of the infection through a regional lens. In 2020, Africa, the Americas, and the Western Pacific were burdened significantly more than their global peers, with incidence rates of 96 million, 74 million, and 86 million, respectively. These areas have limited access to adequate screening opportunities, which not only impacts adult populations but also allows for congenital syphilis to remain rampant. Additional factors, such as stigma, contribute to barriers, especially for men who have sex with men, which allows for the further development of the disease.

The development of the disease burden reflects structural and social failures that leave vulnerable communities unable to support themselves and their health. For example, key populations affected by syphilis include gay men and men who have sex with men; these populations are already underrepresented and underserved.

The Future of Change

Despite these challenges, significant progress has been made to support the development of key systems and procedures in the fight against syphilis. This was a key goal of the World Health Organization in 2025, and the organization hopes to end sexually transmitted disease epidemics within the next five years. 

To accomplish this goal, the World Health Organization worked with countries to develop plans for how to address sexually transmitted diseases, provided case management guidelines, recommended dual HIV and syphilis rapid diagnostic tests, and more. Specific recommendations were made regarding syphilis through testing and partner services. Generally, the adoption of key policies to fight sexually transmitted diseases has been observed in Africa, the Americas, and the Western Pacific, which is encouraging in terms of improving access to the right to health. Some delays in introduction of these approaches have been seen in some countries due to geopolitical instability, but general trends suggest uptake of recommendations and progress towards the 2030 goal. In order to ensure that this goal is achievable, key resources need to be mobilized and made accessible to ensure progress does not stall. 

Conclusion

Although progress has been made in terms of syphilis prevention and treatment, additional approaches are critical to ending the crisis. In tandem with support from multilateral collaboration, it is critical to strengthen public health access. From mobilizing additional resources to providing accessible screening, vulnerable communities can gain access to resources that would allow them to take ownership of their health outcomes. This would be accompanied by educational efforts to help destigmatize sex education and reduce disease transmission. Alongside these interventions, surveillance and data collection is critical, because this will not only document changed outcomes, but it will also help identify opportunities for collaborations, making health systems more resilient. 

Because syphilis is a treatable and preventable infection, it is clear that this global resurgence of the disease is not inevitable; rather, it is an outcome of inequity, stigma, and broken systems. When working to preserve the right to health, people need to be protected both right now and for generations to come.

Accessible, Affordable, and AI: How Artificial Intelligence Can Advance Healthcare Access

Between the Constitution of the World Health Organization, the Universal Declaration of Human Rights, and the International Covenant on Economic, Social, and Cultural Rights, the human right to a high standard of physical and mental health has been determinedly codified in international law. Providing this is more difficult. According to the World Health Organization, mostly low and lower-middle income countries will experience a healthcare shortage of 11 million workers within five years, and an estimated 4.5 billion people already lacked access to affordable essential care in 2021. Evidently, the global healthcare system needs a lifeline; with staff shortages and unmet needs, this help cannot come soon enough. Despite my criticisms of Artificial Intelligence’s implementation in healthcare due to data failures and biases, there is real potential for Artificial Intelligence to make the human right to health more accessible, affordable, and efficient. From wearable devices to Telehealth to risk and data analysis, the implementation of AI within healthcare systems can help relieve medical professionals from menial tasks, provide better access to health services for the disadvantaged, and aid in the overall efficiency of often bottlenecked healthcare systems.

REMOTE SERVICES & WEARABLE PRODUCTS

The access to one’s human right to adequate healthcare can be largely determined by geolocation; rural populations suffer significantly worse health outcomes than their urban counterparts, largely due to isolation from hospitals and medical professionals. People living in rural areas may not have the time or financial means to access efficient, affordable health services. Artificial Intelligence can help address this disparity by powering remote services such as Telehealth, aiding individuals in contacting physicians, and even potentially generating diagnoses without patients’ having to sacrifice their time or resources to travel. The primary use of AI within Telehealth aims to alleviate scheduling problems by training algorithms to match patients with the proper providers and ensure the smoothness of scheduling and accessing virtual appointments. This could significantly reduce the delay in access to Telehealth services that rural patients can experience.

A man measures his heart rate on an Apple Watch
Adobe Stock, DenPhoto, #290469935
A man measures his heart rate on an Apple Watch

In addition, wearable products utilizing Artificial Intelligence have shown potential in monitoring chronic conditions, eliminating the need for frequent check-ups, and reducing the burden on healthcare providers. Using data collected by wearable devices, AI algorithms can potentially detect signs of health problems and alert those with chronic conditions if their vitals are amiss. Patients can also receive AI-generated reminders to take medications and health check-ins to ensure proper care on a day-to-day basis.

The use of remote Artificial Intelligence technology to provide healthcare services also has the potential to increase access to mental health resources, especially in rural areas, where psychological help may be expensive, far away, or overly stigmatized. AI-driven personal therapists show potential to improve access to mental health services that traditionally are difficult to schedule and afford. Artificial intelligence has been used to analyze sleep and activity data, assess the likelihood of mental illness, and provide services related to mindfulness, symptom management, mood regulation, and sleep aid. 

ACCESSIBILITY

On top of increased accessibility for rural residents, various employments of Artificial Intelligence in healthcare have the potential to cater to the needs of those with cognitive or physical disabilities. Models can aid in simplifying text, generating text to speech audio, and providing visual aids to assist patients with disabilities as they receive care and monitor their conditions. The ability of Artificial Intelligence to streamline potentially incomprehensible healthcare interfaces and simplify information can also assist elderly patients in accessing health services. Older people can often be intimidated by the complexity of online healthcare’s technological hurdles, preventing them from effectively accessing their doctors, health records, or other important resources; Artificial Intelligence can be harnessed to adapt user personalization on websites and interfaces to best accommodate the problems an elderly or disabled person may experience trying to access online care.

Generative language models, a particular type of Artificial Intelligence that uses training data to generate content based on pattern recognition, has also been employed to overcome language barriers within medical education. The ability of Artificial Intelligence models to effectively translate educational curriculum has contributed to the standardization of medical practices and standards across countries. The digitalization of this process also makes medical educational material more accessible to those without direct access to a wealth of resources, furthering the World Health Organization’s Digital Health Guidelines, which aims to encourage “digitally enabled healthcare education.” The use of AI as a translation tool within healthcare also shows broader potential to be utilized for patient care, eliminating the need for costly translators and ensuring that non-native speakers fully comprehend their diagnoses and treatments. One example of this is the American company “No Barrier AI”, which employs an AI-driven interpreter to provide immediate, accurate, and cost-effective translation for those with little proficiency in English seeking healthcare.

Side view of a focused elderly man sitting before his laptop
Adobe Stock, Viacheslav Yakobchuk, #390382830
Elderly man accesses health portal from his laptop

PATIENT AND DATA ANALYSIS

A whole other blog post could be dedicated entirely to the use of Artificial Intelligence in hospitals and as an aid to medical professionals. Broadly, the integration of Artificial Intelligence into clerical and administrative tasks, health data analysis, and care recommendations has reduced the time and money spent on the slow, bureaucratic processes that weigh down medical professionals. Nearly 25% of healthcare spending in the United States is devoted to administrative tasks, but according to a McKinsey & Company study, the adoption of AI and machine learning could save the American healthcare industry $360 billion, mostly by assisting with clerical and administrative tasks. For instance, AI systems have proved effective in boosting appointment scheduling efficiency, speeding up an infamously difficult process. Because of its ability to detect, analyze, and predict patterns, Artificial Intelligence has also been utilized to track inventory and increase supply chain efficiency, ensuring proper amounts of essential medical supplies and medicines are in stock when they are most needed.

Beyond managerial and administrative duties, Artificial Intelligence has also been integrated into clinical decision-making, data and visual analysis, risk evaluation, and even the development of medicines. Trained models have proven capable of analyzing data from brain scans, X-rays, other tests, and patient records to detect and predict health problems; this ability to detect patterns and predict outcomes has also enabled early detection of diseases and conditions such as sepsis and heart failure. Medical professionals can take the model’s analysis into account while also considering treatment suggestions from Artificial Intelligence as they proceed with patient care. This can reduce the likelihood of clinical mistakes as doctors can compare their findings with those of the AI model. Artificial Intelligence has also been used in telesurgical techniques to improve accuracy and supervise surgeons as they operate. The integration of Artificial Intelligence has also advanced vaccine development, as it aids in identifying antigen targets, helps predict a particular patient’s immune response to specific vaccinations, creates vaccines tailored to an individual’s genetic makeup and medical needs, and increases the efficiency of vaccine storage and distribution.

These are only a few examples of the potential usefulness of Artificial Intelligence within healthcare settings. The examples are countless and increasing every day, and, as I believe, the potential for further advancement is immeasurable.

Two doctors analyze brain scans on a tablet.
Adobe Stock, peopleimages.com, #1599787893
Two doctors analyze a brain scan with suggestions from AI tech

WHAT WE MUST KEEP IN MIND

While these advancements in the accessibility, affordability, and efficiency of healthcare systems show undeniable promise in accessing the human right to health, the development and integration of these Artificial Intelligence technologies must be undertaken with equality at the center of all efforts. As I highlighted in my last post, it is imperative that underlying societal biases be accounted for and curbed within these models to prevent inaccurate results and further harm to individuals from marginalized groups. A survey at the University of Minnesota found that only 44% of hospitals in the United States conducted evaluations on system bias in the Artificial Intelligence models they employed. It is essential to pursue efforts to ensure that Artificial Intelligence promotes not only the human right to health, but also the human right to freedom from discrimination within healthcare practices, especially those aided by systems potentially riddled with bias based on age, race, ethnicity, nationality, and gender.

These technologies are as practical as they are exciting. Still, as the healthcare industry moves forward, Artificial Intelligence developers and healthcare providers alike must maintain the core ideals of the Human Rights framework– equality, freedom, and justice.

Silent Spread: Rising Drug Resistant Gonorrhea

Gonorrhea is no longer just a common sexually transmitted infection (STI) – it has become one of the world’s most dangerous drug-resistant infections. Gonorrhea is a preventable and curable STI that infected over 82 million adults in 2020. The consequences of infection include infertility and the increased risk of HIV. The impact of gonorrhea is dangerous enough to raise international caution, but the development of drug-resistant gonorrhea has resulted in this not just being a sexual health issue, but a public health emergency. The issue of antimicrobial resistance is coupled by delayed diagnosis, stigma, and gaps in global health, leaving millions of lives vulnerable and jeopardizing their human right to health.

What is Gonorrhea?

Gonorrhea is caused by Neisseria gonorrhoeae which is a bacteria that is transmitted sexually. The infection primarily impacts younger populations from 15 to 49 years old and largely women. Generally, in international populations, LGBTQ+, racial minorities, indigenous populations, and sex workers bear a disproportionate burden of gonorrhea. 

This burden is both physical and emotional. When working through the development of the infection, it may bring up concerns for distrust; a patient in Georgia bravely accounts for her story with gonorrhea with a date. From unprotected intercourse to getting tested early, she shares the dangers in onset and the importance of urgency with the infection. 

If the infection is not treated in a timely manner, there could be significant reproductive health complications such as pelvic inflammatory disease, which is an infection of the female reproductive organs, and chorioamnionitis, a serious pregnancy complication, both of which contribute to the onset risk of infertility. This is coupled by the heightened risk of HIV acquisition.

The danger of gonorrhea is that asymptomatic infections, making up around 90% of infections in women and 56% to 87% of infections in men, can silently spread in communities. This increases the risk of transmission and complications due to the infection. This amplifies the public health crisis of sexually transmitted infections throughout the world, placing an increased burden on communities with already limited resources.

 Photo of a variety of different bacteria - testing for antimicrobial resistance.Credit: Wikimedia Commons - DFID CC 2.0
Photo of a variety of different bacteria – testing for antimicrobial resistance.
Credit: Wikimedia Commons – DFID/ Will Crowne
CC 2.0 Also available at: https://www.flickr.com/photos/dfid/48758842257/

What is Antimicrobial Resistance?

Antimicrobial resistance is a critical global health development, claiming the title of the “Silent Pandemic.” Its danger is developed through the misuse of antimicrobials in humans, animals, and plants; this results in the development of bacteria and pathogens that are resistant to drugs. Although new drugs are developed to support intervention against a variety of infections across the world, there is always the risk of antimicrobial resistance, regardless of how complex the drug is. The issue of antimicrobial resistance spans beyond low and middle income countries; rather, it affects countries from all income levels. However, its drivers are exacerbated by poverty and inequality. 

In 2021, antimicrobial resistance caused around 1.1 million deaths, with a forecast of 1.9 million deaths by 2050. This is coupled by financial losses, resulting in an economic impact of trillions of dollars across the world. Along with these losses, there is the problem of drug-resistant HIV, tuberculosis, and malaria. The onset of drug-resistant forms of these diseases results in a lack of access to critical medication that can promise maintenance or help address the disease at hand. This challenge has been approached by a variety of factors. From the expected means, like education and public awareness, to the integration of artificial intelligence, there are a variety of tools to help combat and address antimicrobial resistance. 

Antimicrobial Resistance of Gonorrhea

What is unique about the relationship between antimicrobial resistance and gonorrhea is that gonorrhea has grown resistant to nearly every drug that is used to treat it. This has resulted in there being only one class of antibiotics available for gonorrhea control. When reflecting on its accessibility, it is easily covered by insurance throughout the United States and other Global North countries, but treatment is not as accessible in the Global South, requiring collaborations and private-public partnerships.

Global conversations suggest that resistance to ceftriaxone and cefixime, common antibiotics used for treatment of gonorrhea, have risen to 5% and 11% respectively, whereas resistance to ciprofloxacin, another formerly effective drug against gonorrhea, has reached 95%. Data for the United States, specifically through the Gonococcal Isolate Surveillance Project, has suggested that gonorrhea has decreased susceptibility to an antibiotic, and laboratory results demonstrate that increased antibiotics are critical to halt all growth. Internationally, resistance to key treatments further supports the need for surveillance of gonorrhea, but this may not be feasible

Factors Contributing to the Rise of Antimicrobial Resistance

Antimicrobial resistance has been on the rise across the globe for a variety of reasons. The largest reason, as mentioned, is antibiotic misuse. This is driven by the administration of antibiotic prescriptions without a policy or treatment regimen, which is especially common in developing countries, as many prescription medicines are available over the counter in these countries. In developed countries, lack of health literacy or forewarning by healthcare providers also fuels misuse. The nature of antibiotic prescriptions also contributes to the global burden of antimicrobial resistance; its being overprescribed by healthcare providers contributes to the development of resistance long term, especially when these medicines are prescribed over lengthy courses. 

Another factor that contributes to antimicrobial resistance is the general delay of care for sexually transmitted diseases and infections. Generally, barriers to care-seeking can be attitudes, social stigma or mental conditions, which can be exacerbated by health system factors like lack of access to a clinic or lack of insurance. This delays timely treatment and access to a treatment regimen that would work best for the patient. 

The Need for Gonorrhea Resistance Surveillance

In spite of certain medical interventions’ not working, there is one action that can promise a healthier future and that is expanding surveillance. Genomic surveillance, the process of monitoring and analyzing the genetic makeup of a pathogen, can help guide gonorrhea control. There have been a variety of programs that have supported understanding gonorrhea. From the CDC’s Gonococcal Isolate Surveillance Project to the WHO’s Gonococcal Antimicrobial Surveillance Program, data about gonococcal antimicrobial susceptibility has been collected. With this data, information is mobilized to key regions, which then informs the gonorrhea strategy in each country. Surveillance is challenged by access to funding and laboratory resources, but this approach still demonstrates that collecting key data can help support global treatment guidelines and policies. 

What Is Next?

As the global fight against antimicrobial resistance occurs, it is critical for us all to do our part. Within the conversation of prevention, it is critical that safe sex practices, like condom use and STI testing, are leveraged. If symptoms appear, it is critical to seek our care and not start any medication regime without medical guidance. Within all conversations, it is critical to normalize conversations about sexual health and seeking out medical help when needed. As the danger of drug-resistant gonorrhea is growing, it is critical for everyone to take a part in the journey, helping us prevent a future where gonorrhea is untreatable. Drug-resistant gonorrhea is not inevitable; it’s a preventable crisis. The choices we make today will determine whether future generations inherit an infection we can still control and are able to fully enjoy their human right to health. 

 

Alabama’s “Invisible Disabilities” ID Proposal

Human Rights Perspective on the Proposal to Put “Invisible Disabilities” on Alabama IDs 

Box for ballot papers on desk and young African American man with disability sitting in wheelchair and making his choice.
Box for ballot papers on desk and young African American man with disability sitting in wheelchair and making his choice. By: pressmaster. Source: Adobe Stock. Asset ID#: 580784797

There is buzz around Alabama’s proposal to designate “invisible disabilities” on state ID cards by the end of this fiscal year. This legislative initiative has sparked significant debate and attention. In November 2025, a bill was introduced in Alabama that would allow individuals to add an “invisible disability” designation to their driver’s licenses or state ID cards. Ontario Tillman, the state representative who is introducing this measure, argues that this “protective” measure could help law enforcement and first responders understand and quickly identify persons who may have non-apparent disabilities such as autism, PTSD, or traumatic brain injury. Tillman argues that this would be helpful for law enforcement and other officials to know because people with these and other invisible disabilities may respond to officers in unexpected ways that could cause situations to spiral dangerously. By equipping law enforcement and first responders with the information that the person they are engaging with has an invisible disability, Tillman hopes that there would be more patience and understanding built between responders and the person with the disability.

Invisible Disability ID Markers Elsewhere

States like Alaska, Maryland, and Colorado have started adding invisible disability indicators to driver’s licenses and ID cards, but they are taking different routes and raising similar debates. Alaska lets residents voluntarily add an invisible disability designation to licenses or IDs through its DMV, framing it as a tool to signal needs in situations like traffic stops or emergencies without revealing a specific diagnosis. Colorado offers a small icon on state IDs for people with invisible disabilities and, in the first year and a half of its implementation, 1,096 people signed up for the marker. In Maryland, “Eric’s Law” created an optional invisible disability notation after disability activist Eric Blessed Carpenter Grantham pushed for the state to offer this accommodation; the Maryland Department of Transportation now treats the marker as one more tool for safety and understanding. Across these states, the basic idea is similar: make it easier for disabled people to get accommodations or de-escalation in high-stress situations by building a quiet signal into ID systems.​

People’s reactions, though, show how complicated it feels to put disability information on something as central as an ID. Supporters, including some disability advocates and families, say these markers can reduce misunderstandings with law enforcement, explain why someone might not respond typically in a crisis, and help folks access assistance in travel, medical, or security settings. Critics worry about privacy, data misuse, and the risk that a symbol meant to protect could expose disabled people to profiling or discrimination, especially if officers or agencies lack proper training. The same design that could make interactions safer may also force people to disclose something deeply personal just to move through public life, which is why most of these programs stress that the markers are voluntary and part of a broader conversation about rights, safety, and trust.​

The Sunflower Movement

The Sunflower Movement takes a different, more global approach by using a simple visual symbol—a yellow sunflower on a green background—to quietly say, “I have a non-visible disability; I may need a little extra time or support.” The Hidden Disabilities Sunflower program started in UK airports and has spread across airlines, transit systems, and public venues in the U.S. and worldwide, with lanyards, pins, or badges that travelers can choose to wear. For people who travel, the appeal is that you don’t have to verbally explain a diagnosis every time you go through security or check in; instead, staff trained on the symbol are supposed to slow down, offer clearer instructions, or provide small accommodations like extra time, seating, or help navigating noisy, crowded spaces.​

Airports from Albany to Boise and Nashville have adopted the sunflower lanyard program as part of disability awareness and inclusion initiatives, often pairing it with staff training and signage so people know what the symbol means. Travelers with autism, chronic pain, anxiety, or other invisible conditions have described feeling more seen and less judged when wearing the lanyard, especially in stressful spaces like TSA lines or boarding gates. At the same time, the sunflower is not legally binding—unlike ADA accommodations—and depends heavily on staff attitudes; if workers aren’t trained or take it as “just a nice idea,” the symbol can lose its power and even feel performative. For many in our generation, the Sunflower Movement sits at the intersection of design and dignity: it’s a low-tech, opt-in signal that can make travel more humane, but it also reminds us that real inclusion still requires policy, training, and accountability behind the symbol.

CRPD and Human Dignity

While there are clearly benefits to implementing such IDs, there are also human rights concerns that we need to be aware of when placing identifying markers on government documents. The Convention on the Rights of Persons with Disabilities emphasizes respect for inherent dignity, autonomy, and privacy, which implicitly warns against measures that increase stigma or surveillance. An ID marker might help in some emergencies, but it can also conflict with the right to privacy and non-discrimination if used coercively or without strong safeguards.On one hand, the designation could protect life and security (civil and political rights) in police encounters; on the other, it could undermine equal treatment in employment, housing, or education if IDs are widely requested or copied, thereby harming economic, social, and cultural rights. From a human rights perspective, it is important to consider this bill’s implications for privacy, potential misuse of data, and the risk of profiling. There is the potential for harmful labeling labeling and hidden discrimination practices through this policy, particularly for marginalized communities already facing over-policing.​

Conclusion

For Alabamians with “invisible” disabilities, this new ID proposal raises immediate questions: Who controls disability disclosure? How do policies intended to “help” sometimes deepen exclusion? And how can we push for alternatives—like better training, crisis-response reform, and universal design—rather than relying on labels that follow disabled people everywhere they go? Creating a human-rights-oriented world requires creativity and innovation, and ID markers and sunflowers are just two methods among many that we could implement to advance this cause. In pursuit of human rights, let’s be sure to consider the pros and cons of every step we take.

Training to Treatment: AI’s Role in Healthcare Inequities

My first English professor here at UAB centered our composition class entirely around Artificial Intelligence. He provided our groups with articles highlighting the technology’s potential capabilities and limitations, and then he prompted us to discuss how our society should make use of AI as it expands. Though we tended to be hesitant toward AI integration in the arts and service industries, there was a sense of hope and optimism when we discussed its use in healthcare. It makes sense that these students, most of whom were studying to become healthcare professionals or researchers, would look favorably on the idea of AI relieving providers from menial, tedious tasks.

AI’s integration in healthcare does have serious potential to improve services; for example, it’s shown promise in examining stroke patients’ scans, analyzing bone fractures, and detecting diseases early. These successes don’t come without drawbacks, however. As we continue to learn more about the implications of AI use in healthcare, we must take into account potential threats to human rights, including the rights to health and non-discrimination. By addressing the human rights risks of AI integration in healthcare, algorithmic developers and healthcare providers alike can implement changes and create a more rights-oriented system. 

A woman stands in front of a monitor, examining head and spine scans.
Adobe Stock #505903389 Gorodenkoff A woman stands in front of a monitor, examining head and spine scans.

THE INCLUSION OF INEQUALITIES

Artificial Intelligence cannot operate without data; it bases its behaviors and outcomes on the data it is trained on. In healthcare, Artificial Intelligence models rely on input from health data that ranges from images of melanoma to indicators of cardiovascular risk. The AI model uses this data to recognize patterns and make predictions, but these predictions are only as accurate as the data they’re based on. Bias in AI systems can often stem from “flawed data sampling,” which is when sample sizes of certain demographics are overrepresented while those of others, usually marginalized groups, are left out. For example, people of low economic status often don’t participate in clinical trials or data collection, leaving an entire demographic underrepresented in the algorithm. The lack of representation in training data also generally applies for women and non-white patients. When training datasets are imbalanced, AI models may fail to accurately analyze test results or evaluate risks. This has been the case for melanoma diagnoses in Black individuals and cardiovascular risk evaluations in women, where the former model was trained largely on images of white people and the latter on the data of men. Similarly, text-to-speech AI systems can omit voice characteristics of certain races, nationalities, or genders from training data, resulting in inaccurate transcriptions. 

A woman at a computer examines unequal data sets on two sheets of paper.
Adobe Stock #413362622 Source: Andrey Popov A woman at a computer examines unequal data sets on two sheets of paper.

The exclusion of certain groups from training data points us to the fact that AI models often reflect and reproduce already existing human biases and inequalities. Because medical data reflects currently existing healthcare disparities, AI models train themselves in ways that internalize these societal inequalities, resulting in inaccurate risk evaluations, especially for Black, Hispanic, or poor patients. These misdiagnoses and inaccurate evaluations create a feedback loop where an algorithm trained on poor data creates poor healthcare outcomes for marginalized groups, further contributing to healthcare disparities. 

FRAGMENTATION AND HALLUCINATION

Another limitation of the data healthcare AI models are trained on is their fragmented sourcing. Training data is often collected across different sources and systems, ranging from pharmacies to insurance companies to hospitals to fitness tracker records. The lack of consistent, holistic data compromises the accuracy of a model’s predictions and the efficiency of patient diagnosis and treatment. Other research highlights that the majority of patient data used to train algorithms in America comes from only three states, limiting its consideration of geo-locational factors on patient health. Important determinants of health, such as access to nutritious food and transportation, work conditions, and environmental factors, are therefore excluded from how the model diagnoses or evaluates a patient. 

A computer screen shows an AI chatbot, reading "Meet AI Mode"
Adobe Stock #1506537908 Source: Tada Images A computer screen shows an AI chatbot, reading “Meet AI Mode”

When there are gaps in an AI system’s data pool, most generative AI models will fabricate data to fill these gaps, even if this model-created data is not true or accurate. This phenomenon is called “hallucination,” and it poses a serious threat to the accuracy of AI’s patient assessments. Models may generate irrelevant correlations or fabricate data as they attempt to predict patterns and outcomes, resulting in overfitting. Overfitting occurs when models learn too much on the training data alone, putting weight on outliers and meaningless variations in data. This makes models’ analyses inaccurate, as they fail to truly understand patient data and instead manipulate outcomes to match the patterns they were trained on. AI models will easily fabricate patient data to create the outcomes that make the most sense to their algorithms, jeopardizing accurate diagnoses and assessments. Even more concerning, most AI systems fail to provide transparent lines of reasoning for how they came to their conclusions, eliminating the possibility for doctors, nurses, and other professionals to double-check the models’ outputs.

HUMAN RIGHTS EFFECTS

All of this is to say that real patients are complex, and the data that AI is trained on may not accurately represent the full picture of a person’s health. This results in tangible effects on patient care. An AI’s misstep in its analysis of a patient’s health data can result in prescribing the wrong drugs, prioritizing the wrong patients, and even missing anomalies in scans or x-rays. Importantly, since AI bias tends to target already marginalized groups such as Black Americans, poor people, and women, unchecked inaccuracies in AI use within healthcare can pose a human rights violation to the Universal Declaration of Human Rights (UDHR) provisions of health in Article 25 and non-discriminatory entitlement to rights as laid out in Article 2. As stated by the Office of the High Commissioner for Human Rights, human rights principles must be incorporated to every stage of AI development and implementation. This includes maintaining the right to adequate standard of living and medical care, as highlighted in Article 25, while attempting to address the discrimination that occurs within healthcare. As the Office of the High Commissioner for Human Rights states, “non-discrimination and equality are fundamental human rights principles,” and they are specifically highlighted in Article 2 of the UDHR. These values must remain at the forefront of AI’s expansion into healthcare, ensuring that current human rights violations are not magnified by a lack of careful regulation.

WHAT CAN BE DONE?

To effectively and justly apply Artificial Intelligence to healthcare, human intervention must ensure that fairness and accuracy remain at the center of these models and their applications. First, the developers of these algorithms must ensure that the data used for training is drawn from a diverse pool of individuals, including women, Black people, and other underrepresented groups. Additionally, these models should be developed with fairness in mind and should work to mitigate biases. Transparency should be built into models, allowing providers to trace the thought processes used to create conclusions on diagnoses or treatment choices. These goals can be supported by advocating for AI development teams and healthcare provider clinics that include members of marginalized groups. The inclusion of diverse life experiences, perspectives, and identities can remedy biases both in the algorithms themselves and the medical research and data they are trained on. We must also ensure that healthcare providers are properly educated about how these models operate and how to interpret their outputs. If developers and medical professionals do address these challenges, then Artificial Intelligence technology has immense potential to improve diagnostic accuracy, increase efficiency in analyzing scans and tests, and alleviate healthcare providers of time-consuming, menial tasks. With a dedication to accuracy and human rights, perhaps the integration of Artificial Intelligence into healthcare will meet my English classmates’ optimistic standards and aid them in their future jobs.

 

Clean Energy, Poor Practices: Africa’s Minerals Power Renewables

At the second African Climate Summit, leaders discussed the role of Africa’s critical minerals in climate change and sustainable development. The African Union’s joint statement at the global COP30 climate summit highlighted the continent’s potential to be a climate leader, with its “abundant natural resources, […] young and dynamic workforce, and vast renewable energy potential.” This article examines Africa’s mineral industry, which could be key to the fight against the climate crisis. 

Africa’s Minerals and Renewable Energy 

The world is moving away from fossil fuels and towards clean energy, as renewables become the world’s dominant energy source. This is necessary to limit emissions and strive toward climate goals such as the Paris Agreement’s commitment to keeping the global temperature increase under 1.5°C above pre-industrial levels, but non-fossil fuel renewable energy alternatives also require the extraction of Earth’s natural resources.  

As countries across the world push forward with the latest energy transition—the shift from traditional energy sources like coal and oil to renewable energy like wind and solar—Africa’s mineral deposits are increasingly critical to supplying the world’s energy. They store much of the world’s “transition minerals,” natural resources used in renewable technologies like lithium-ion batteries and solar panels. At the Africa Climate Summit 2025, the UN Economic Commissioner for Africa warned that there was the potential to “repeat the exploitative patterns of the past,” as the demand for the minerals used in renewable technologies increases. 

The transition mineral industry is fraught with human rights abuses, notably labor rights violations and environmental injustices. Violations of the 23rd article of the Universal Declaration of Human Rights, which protects workers’ rights to favorable working conditions and living wages, are commonplace. The Democratic Republic of the Congo has been at the center of conversations regarding Africa’s mining industry, where conflict, illegal mining operations, and smuggling endanger the people who provide the minerals for the world’s technology. 

Exploitation in the Democratic Republic of the Congo (DRC) 

The Business and Human Rights Resource Centre tracked 178 cases of abuse from 2010-2024 in the transition mineral industry; mines in the DRC accounted for over half of these abuses. In a 2023 report, Amnesty International found that “multinational mining companies are forcibly evicting communities from their homes and farmlands in the name of energy transition mining” in the DRC. The exploitation present in the DRC is exacerbated by violent conflictcorporate irresponsibility, and the prevalence of illegal, dangerous operations. 

Miners carry supplies in an African mine
Miners carry supplies in a mine. Rubaya, DRC. By: Erberto Zani. Source: Adobe Stock. Asset ID#: 1047185175

Conflict Minerals in the DRC 

Key to the conflict between the DRC government and the Rwanda-backed M23 rebel group has been control of valuable mines, like Rubaya’s coltan mine. Coltan is an ore that contains tantalum, which is used in the electric car batteries that are key to reducing fossil fuel reliance in transportation. In Rubaya, armed militants patrol impoverished workers, including children, who earn a meager wage to mine and transport coltan. A UN report revealed that a Rwandan exporter purchased coltan that was smuggled by militant groups in the DRC, funding the M23’s deadly offensive in the Eastern DRC. When minerals are used to finance and compound human rights abuses, they are called “conflict minerals.”  

Conflict Minerals in the Corporate Supply Chain 

Tesla, which uses tantalum in their products, outlines a “responsible materials policy” and explicitly states that it has made efforts to “eliminate from [their] value chain any benefits [their] sourcing of these materials may give to armed groups in the Democratic Republic of the Congo and its adjoining countries.” However, a Global Witness report details how smuggled minerals, like coltan from Rubaya, are sourced from unvalidated mines and “laundered,” ending up in the global supply chain. The report names Tesla as one of the companies potentially profiting from this system. The use of conflict minerals in consumer products is just one facet of the human rights implications of transition minerals. Another important aspect to consider is how these natural resources are obtained. 

Electric cars charging at charging station outdoors at sunset.
Electric cars charging at charging station. By: logoboom. Source: Adobe Stock. Asset ID#: 484699085

Unregulated Mining: Ramifications of Informal Operations 

Illegal and informal mining operations also put people at risk. Artisanal and small-scale mining sites can expose miners to toxic chemicals like arsenic and cyanide, and the overcrowded conditions produce a high risk of infectious disease, among other dangers. Transition minerals like cobalt are among the resources obtained through artisanal and small-scale mining in the DRC. Harvard researcher Siddarth Kara, in a conversation with NPR, outlines the hazardous conditions, child labor, and corruption embedded in cobalt mining in the DRC. He calls the conditions “modern-day slavery.” 

An Overview of Artisanal and Small-Scale Mining 

The transition mineral industry is driving the use of illegal artisanal and small-scale mining operations in Africa. 10 million sub-Saharan Africans are artisanal and small-scale miners. Artisanal and small-scale mining is a diverse practice, mostly carried out by subsistence miners or small-scale industry, and some believe that artisanal and small-scale mining has the potential to provide critical minerals and drive economic development in Africa. However, it is a complex and controversial practice with consequences for labor and environmental rights. 

Artisanal and small-scale mining can be driven by poverty and scarce employment opportunities. Other actors, like Chinese nationals, also participate in the practice, benefiting from what is often an illegal and unregulated system. 

Unregulated artisanal and small-scale mining can threaten environmental health, which has downstream effects on human health. Artisanal and small-scale mining has been linked to water pollution, mercury contamination, and reduced water flow to nearby agriculture. Artisanal mining was responsible for high levels of mercury in crops, water, and the miners themselves in Ghana. Others criticize the practice for driving up the cost of living by displacing local activities like food production, thereby trapping workers in a cycle of poverty. 

Artisanal miner in Mauritania using mercury, a highly toxic chemical, to agglomerate gold
Artisanal miner in Mauritania using mercury, a highly toxic chemical, to agglomerate gold. By: Christophe. Source: Adobe Stock. Asset ID#: 524805503

An Economically Sustainable and Human-Oriented Artisanal and Small-Scale Mining Sector 

Despite challenges, the artisanal and small-scale mining sector has the potential to drive economic growth and provide a livelihood for millions of Africans. One proposed step toward a more equitable and community-focused artisanal and small-scale mining sector is formalizing the mining process in a way that does not simply issue more licenses but also considers environmental and social responsibility. A “livelihood-oriented formalization” can mean miners have a secure income rather than working for shelter, food, or a small share of profits; implementing worker safety principles can reduce accidents and limit the spread of communicable disease. Formalizing artisanal and small-scale mining should include a comprehensive reconsideration of the current processes, with the well-being of miners at the forefront. 

Corporate and Government Responsibility 

Transition mining involves small-scale operations, but large multinational corporations also play a significant role in determining how minerals are obtained. The role of corporate social responsibility in mitigating human rights abuses is controversial. Companies like Tesla, as mentioned before, have come under fire for being complicit in the sale of conflict minerals, and mining companies expel people from their homes. In recent years, multinational corporations have begun to consider themselves as part of the solution to human rights issues in Africa. Corporations that adopt rigorous due diligence standards can offset some of the failures of fragile governments, such as the DRC, in enforcing industry-wide rules. 

Hope for an Equitable Transition Mineral Industry 

Africa’s critical transition minerals will be vital to replacing fossil fuels that pollute the atmosphere and accelerate climate change. With an equitable structure, the mining industry has the potential to bring jobs and capital to Africa; however, the current prevailing model of unregulated and dangerous mines, conflict-sourced minerals, entrenched poverty, and chronic environmental damage is not sustainable or fair to the people who supply some of the world’s most valuable and necessary resources. In recent years, some legal progress has been made; Congolese miners have won cases against cobalt mining companies for wrongful termination, injury compensation, and union representation. Continuing these efforts could bring about a world powered by renewable energy that doesn’t sacrifice miners’ human rights. 

AI in Mental Health Diagnostics

Digital cloud earth floating on neon data circle grid in cyberspace particle wave.
Image 1: Digital cloud earth floating on neon data circle grid in cyberspace particle wave. Adobe Express Stock Images. ZETHA_WORK. #425579329

In recent years, the promise of artificial intelligence (AI) in mental-health care has grown rapidly. AI systems now assist in screening for depression or anxiety, help design treatment plans, and analyze huge volumes of patient data. However, emerging evidence shows that these systems are not neutral: they can embed and amplify bias, threaten rights to equality and non‐discrimination, and have psychological consequences for individuals. We’ll be examining how and why bias arises in AI applications for mental health, the human rights implications, and what psychological effects these developments may carry.

The Rise of AI in Mental Health

AI’s application in mental health is appealing. Many people worldwide lack timely access to mental-health professionals, and AI systems promise scale, cost-efficiency, and new capabilities, like detecting subtle speech or behavioral patterns, that might identify issues earlier. For example, algorithms trained on speech patterns aim to flag depression or PTSD in users.

In principle, this could extend care to underserved populations and reduce the global burden of mental illness. But the technology is emerging in a context of longstanding disparities in mental health care; differences in who is diagnosed, who receives care, and who gets quality treatment.

How Bias Enters AI-based Mental Health Tools

Bias in AI systems does not begin with the algorithm alone; it often starts with the data. Historical and structural inequities, under-representation of certain demographic groups, and sensor or model limitations can all embed biased patterns that then get automated.

A recent systematic review notes major ethical issues in AI interventions for mental health and well‐being: “privacy and confidentiality, informed consent, bias and fairness, transparency and accountability, autonomy and human agency, and safety and efficacy.”

In the mental health screening context, a study from the University of Colorado found that tools screening speech for depression or anxiety performed less well for women and people of non‐white racial identity because of differences in speech patterns and model training bias. A separate study of four large language models (LLMs) found that for otherwise identical hypothetical psychiatric cases, treatment recommendations differed when the patient was identified (explicitly or implicitly) as African American, suggesting racial bias.

These disparities matter: if a diagnostic tool is less accurate for certain groups, those groups may receive delayed or improper care or be misdiagnosed. From a rights perspective, this raises issues of equality and non-discrimination. Every individual has a right to healthcare of acceptable quality, regardless of race, gender, socioeconomic status, or other status.

Human Rights Implications

Right to health and equitable access

Under human rights law, states have obligations to respect, protect, and fulfill the right to health. That includes ensuring mental health services are available, accessible, acceptable and of quality. If AI tools become widespread but are biased against certain groups, the quality and accessibility of care will differ, and that violates the equality dimension of the right to health.

Right to non-discrimination

The principle of non-discrimination is foundational: individuals should not face less favorable treatment due to race, gender, language, sexual orientation, socio-economic status, or other prohibited grounds. If an AI mental health tool systematically under-detects problems among women or ethnic minorities or over-targets mental-health evaluation for other groups, discrimination is implicated. For instance, a study found LGBTQIA+ individuals were much more likely to be recommended mental health assessments by AI tools than was clinically indicated based on socioeconomic or demographic profile.

Right to privacy, autonomy and dignity

Mental health data is deeply personal. The use of AI to screen, predict or recommend treatment based on speech, text or behavior engages issues of privacy and autonomy. Individuals must be able to consent, understand how their data is used, challenge decisions, and access human oversight. The systematic review flagged “autonomy and human agency” as core ethical considerations.

Accountability and due process

When decisions about screening, diagnosis, or intervention are influenced by opaque algorithms, accountability becomes unclear. Who is responsible if an AI tool fails or produces biased recommendations? The software developer? The clinician? The institution? This ambiguity can undermine rights to remedy and oversight. The “Canada Protocol” checklist for AI in suicide prevention emphasized the need for clear lines of accountability in AI-driven mental health systems.

Differential labeling and stigma

When AI systems target certain groups disproportionately, for example, recommending mental health assessments for lower-income or LGBTQIA+ individuals when not clinically indicated, it may reinforce stigma. Being singled out for mental health screening based on demographic profile rather than actual need can produce feelings of being pathologized or surveilled.

Bias in therapeutic relationship

Mental health care depends heavily on the relationship between a person and their clinician. Trust, empathy, and feeling understood often determine how effective treatment will be. When someone believes their provider truly listens and treats them fairly, they’re more likely to engage and improve. But if technology or bias undermines that sense of understanding, people may withdraw from care or lose confidence in the system.

Reduced effectiveness or misdiagnosis

If an AI tool under-detects depression among certain groups, like women or ethnic minorities, and that leads to delayed treatment, then the psychological impact of possible longer suffering, increased severity, and reduced hope is real and harm-producing. One study found that AI treatment recommendations were inferior when race was indicated, particularly for schizophrenia cases.

These psychological effects show that bias in AI is not just a technical defect; it can ripple into lived experience, identity, mental health trajectories, and rights realization.

Chatbot conversation Ai Artificial Intelligence technology online customer service.
Image 2: Chatbot conversation with AI technology online customer service. Adobe Express Stock Images. khunkornStudio.
#567681994

Why AI Bias Persists and What Makes Mental Health AI Especially Vulnerable

Data limitations and under-representation

Training data often reflect historical care patterns, which may under-sample certain groups or encode socio-cultural norms that do not generalize. The University of Colorado study highlighted that speech-based AI tools failed to generalize across gender and racial variation.

Hidden variables and social determinants

One perspective argues that disparities in algorithmic performance arise not simply from race labels but also from un-modelled variables, such as racism-related stress, generational trauma, poverty, and language differences, all of which affect mental health profiles but may not be captured in datasets.

Psychology of diagnostic decision-making

Mental health diagnosis is not purely objective; it involves interpretation, cultural nuance, and relational trust. AI tools often cannot replicate that nuance and may misinterpret behaviors or speech patterns that differ culturally. That raises a psychological dimension: people from different backgrounds may present differently, and a one-size-fits-all tool may misclassify them.

Moving Toward Rights-Respecting AI in Mental Health

Given the stakes for rights and psychology, what should stakeholders do? Below are guiding principles anchored in human rights considerations and psychological realities:

  1. Inclusive and representative datasets
    AI developers should ensure that training and validation data reflect diverse populations across race, gender, language, culture, and socioeconomic status. Without this, bias will persist. Datasets should also capture social determinants of mental health, such as poverty, trauma, and discrimination, rather than assuming clinical presentations are uniform.
  2. Transparency, explainability, and human oversight
    Patients and clinicians should know if an AI tool is being used and how it functions, and they should remain able to challenge its outputs. Human clinicians must retain decision-making responsibility; AI should augment, not replace, human judgement, especially in mental-health care.
  3. Bias-testing and ongoing evaluation
    AI tools should be tested for fairness and performance across demographic groups before deployment, and, once deployed, they should be continuously monitored. One large study found that AI recommendations varied significantly by race, gender, and income.
    Also, mitigation techniques are emerging to reduce bias in speech- or behavior-based models.
  4. Rights to remedy and accountability
    When AI-driven systems produce harmful or discriminatory outcomes, individuals must have paths to redress. Clear accountability must be established among developers, providers, and institutions. Regulatory frameworks should reflect human rights standards: non-discrimination, equal treatment, and access to care of quality.
  5. Psychological safety and dignity
    Mental health tools must respect the dignity of individuals, allow for cultural nuance, and avoid pathologizing individuals based purely on demographic algorithms. The design of AI tools should consider psychological impacts: does this tool enhance trust, reduce stigma, and facilitate care, or does it increase anxiety, self-doubt, or disengagement?
  6. Translate rights into policy and practice
    States and professional bodies should integrate guidelines for AI in mental health into regulation, licensing, and accreditation structures. Civil society engagement, which includes patient voices, mental-health advocates, and rights organizations, is critical to shaping responsible implementation.

Looking Ahead: Opportunities and Risks

AI has enormous potential to improve access to mental health care, personalize care, and detect risks earlier than ever before. But, as with many new technologies, the impacts will not be equal by default. Without a proactive focus on bias, human rights, and psychological nuance, we risk a two-tier system: those who benefit versus those left behind or harmed.

In a favorable scenario, AI tools become transparent and inclusive, and they empower both clinicians and patients. They support, rather than supplant, human judgement; they recognize diversity of presentation; they strengthen trust and equity in mental health care.
In a less favorable scenario, AI solidifies existing disparities, misdiagnoses or omits vulnerable groups, and erodes trust in mental-health systems, compounding rights violations with psychological harm.

The path that materializes will depend on choices made today: how we design AI tools, how we regulate them, and how we embed rights and psychological insight into their use. For people seeking mental health support, equity and dignity must remain at the heart of innovation.

Conclusion

The use of AI in mental health diagnostics offers promise, but it also invites serious rights-based scrutiny. From equality of access and non-discrimination to privacy, dignity and psychological safety, the human rights stakes are real and urgent. Psychologists, technologists, clinicians, regulators and rights advocates must work together to ensure that AI supports mental health for all, not just for some. When bias is allowed to persist, the consequences are not only technical, but they’re also human.

Zambia Acid Spill: The Death of a River and the Ongoing Struggle of Local Communities to Recover

​This year in Zambia, Chambishi residents saw the Kafue River die before their eyes. Millions of liters of acidic, contaminated water containing toxic mining chemicals burst from a dam in February. Crops and animals died as residents suffered the effects of careless mining practices. This incident raises questions about environmental concerns regarding current mining practices in Zambia, as well as how to address cleanup and compensation for affected communities whose human rights were violated by this event.

Dam Failure and Toxic Water Spill

On February 18, a dam at the Sino-Metals Leach Zambia mining site collapsed, releasing a reported 50 million liters of contaminated water that flooded into the Chambishi Copper Belt region. Toxic spillage, containing heavy metals and high levels of acidity, flowed at least 60 miles down the Kafue River, a major river in Zambia used by many locals for fishing, irrigation, and water.

Image of the Kafue River in Zambia
Image of the Kafue River Source: Olympian Xeus, CC BY-SA 4.0 <https://creativecommons.org/licenses/by-sa/4.0>, via Wikimedia Commons

The immediate effects on the region were apparent in the devastation to local wildlife. The head of a Zambian monitoring group, Nsama Rusonda, reported the aftermath of the acid spill was shocking, saying, “It was a horror to see maize, bean crops that were green the night before, just turn brown. Tonnes of dead fish were floating in local riverways.” The environmental devastation was one of the first things to catch locals’ attention, but as time goes on, more and more effects of the toxic spill are becoming apparent.

Initial Reports and Health Concerns of Residents

The Kafue River is one of the largest rivers in Zambia, and many locals use it as a source of water for drinking, washing, and for their animals and crops. In the days after the spill, people ingested toxins through contaminated water and food, leading to “headaches, coughs, diarrhea, muscle cramps, and even sores on their legs.” Zambia’s reliance on the Kafue also exacerbates the seriousness of the crisis. 21 million people live in Zambia, and more than half rely on the river for water. For example, health concerns led to the water being turned off in the city of Kitwe, leaving 700,000 people without access to water. To drive home the magnitude of this catastrophe, Kitwe is Zambia’s second-largest city, and cutting off water to 700,000 people would be like cutting off the water to all of Washington, DC.

​Officials from the Sino-Metal mining company expressed their regret for the incident shortly after it occurred, stating their intent to assist both with environmental cleanup efforts and to re-establish the economic means of affected individuals. To determine the scope of the damage, Sino-Metals needed to conduct an ecological study. South African company Drizit found that 1.5 million tonnes of hazardous waste were released during the dam collapse, 30 times the 50,000 tonnes initially reported by Sino-Metal. The need for outside observers during environmental disasters is crucial. It’s necessary to provide an objective report on the damage that communities and nations, particularly developing ones, have suffered, so they can respond appropriately, warn their residents, and hold parties accountable for human rights violations.

Official Response

​In the days after the spill, the Zambian government worked to reverse the environmental damage. Hundreds of tons of lime were dumped into affected waterways in an effort to combat acidity from the spill. Zambian officials faced the challenge of finding an appropriate response that balanced harm to residents with environmental concerns, while also working with foreign powers and important infrastructure investments in their country. When Sino-Metals gave a $580,000 payout, Zambian Vice-President Nalumango remarked that this must be coupled with neutral environmental analysis to ensure proper reparations. Nalumango further said, “If the damage to the land and livelihoods proves to be more extensive or long-lasting than initially understood, then further compensation will be necessary and it will be pursued.” This approach will allow flexibility in Zambia’s approach, enabling it to assess whether additional negative effects arise for residents over time and then pursue more compensation accordingly.

Vice-President of Zambia Mutale Nalumango
Vice-President of Zambia Mutale Nalumango Source: Chellah Tukuta Rancen, Public domain, via Wikimedia Commons

Despite the words promising accountability and help from Sino-Metal, Zambia’s ability to force them into meaningful action remains limited. In direct response to the acid spill, Zambia fined Sino-Metals $50,000. This fine is not enough for restoration efforts and is an insignificant amount compared to the widespread damage to Zambia and the harm done to communities. Differences in political and economic power between countries may create additional difficulties when a smaller country is seeking recourse against a larger one. This may especially true for Zambia, a country heavily dependent on copper production, which has received $3.5 billion in investments from China in the past two decades associated with mining and metal in Zambia. Such dependence on economic support from larger countries may dissuade countries from taking action against foreign players in order to continue receiving funding.

Recent Analysis

​While bureaucracy and legal proceedings may take months, residents face daily struggles in the aftermath of the disaster. Conditions from the spill persist in their toxicity to such a degree that Finland issued a travel advisory regarding high levels of toxic heavy metals in the water, and the US embassy issued an evacuation order for all officials from the area, citing health concerns related to the environmental state. In light of such serious concerns raised by other countries, Zambia was thrust into the international spotlight.

With global attention, Zambia seemed to dismiss concerns and assure that harms had been dealt with. A spokesperson from Zambia reported, “pH levels have returned to normal and concentrations of heavy metals are steadily decreasing, which means that the immediate danger to human, animal and plant life has been averted.”

Image of a conveyor belt with coal on it at a mine
Conveyor systems, often used in mining operations. Source: pkproject via Adobe Stock Images, Licensed for Educational Use

Residents affected by the pollution continue to complain of many physical ailments, including headaches and diarrhea, but the Zambian government’s dismissive attitudes towards concerns seems as though they are prioritizing their appearance and foreign investors over their citizens’ right to health.

While the mining sector is crucial for much of Zambia’s economic activity, it is, from a human rights standpoint, unacceptable for the government to not protect its citizens and to ignore or hide obvious and continued harms. A government’s duty to the wellbeing of its citizens should be foremost in its response during a crisis.

Chinese Influences and Zambia’s Future

​This is not the only time mining activities have concerned residents in Zambia. In the past, residents have contracted lead poisoning from pollution incidents and mining operations, while schools have been shut down due to noise and hazardous chemicals.

Balancing China’s interests in minerals with protecting Zambia’s environment and communities is a difficult task for Zambia, especially when they have received billions in funding from China and are over $4 billion in debt to China. These power imbalances can lead to struggles for accountability and justice at both the community and national levels.

This toxic spill is only one event in a disturbing pattern of environmental devastation in Zambia. Access to clean water, secure livelihoods, and environmental justice are crucial to the survival and well-being of many residents. The Zambian response to this latest disaster will set expectations for future interactions and shape the fate of thousands of Zambians, and it is to be hoped that Zambia prioritizes its citizens’ human rights over all other concerns.

Breaking the Huddle: How Domestic Violence Touches Every Alabama Classroom

Breaking the Huddle: How Domestic Violence Touches Every Alabama Classroom

Aggression in the family, man beating up his wife. Domestic violence concept.
Aggression in the family, man beating up his wife. Domestic violence concept.By: doidam10. Source: Adobe Stock. Asset ID#: 229549647

Domestic violence is not simply a distant tragedy or a headline attached to famous names—it’s a daily crisis with real victims in every Alabama community. Shortly after Christmas 2024, former NFL star Marcell Dareus was arrested in Hoover after a violent altercation. This event of early 2025, underscores how quickly intimate relationships can turn dangerous. This incident isn’t exceptional; it reflects a pattern that plays out in neighborhoods across the state, affecting classmates, coworkers, and friends. Understanding this reality isn’t optional for college students; it’s essential for building safer campuses and futures.

Domestic violence is a human rights violation disguised as a “private matter.” International law and human rights frameworks are clear: everyone has the right to live free from violence, fear, and discrimination. The Universal Declaration of Human Rights (UDHR) guarantees, in Article 3, the right to “life, liberty and security of person.” Article 5 further prohibits “torture or cruel, inhuman or degrading treatment or punishment.” Survivors of domestic violence are entitled to protection, safety, and access to justice under both U.S. law and international treaties such as the Convention on the Elimination of All Forms of Discrimination against Women (CEDAW).

A Crisis Next Door: The Local Reality

For many, domestic violence may seem like a private matter that happens behind closed doors, far removed from campus life. But the truth is, it’s happening in your neighborhood—maybe even in your residence hall. The case of Marcell Dareus, a 34-year-old celebrity athlete, and the woman he harmed, is only one of thousands of incidents reported each year in Alabama. This incident is a sobering reminder that abuse can escalate from arguments to physical violence in mere moments.

Picture this: It’s 2 a.m., one week after Christmas. In a quiet Hoover subdivision, just minutes from UAB’s campus, a well-known athlete shoves his partner to the ground and smashes her car with a metal object. The victim could easily be your lab partner, a friend from your sorority, or the barista who knows your coffee order by heart. The physical injuries may heal, but the psychological trauma—fear, anxiety, distrust—can linger for years. And for every headline-grabbing case, countless more go unreported, leaving survivors to navigate their pain in silence.

When we ask, “Why does this matter to me?” the answer is simple: domestic violence is not limited by age, class, or background. If you think it could never touch your world, consider that four in ten women and one in four men will experience intimate partner violence in their lifetimes. The odds are overwhelming that someone you know—maybe even someone you love—is a survivor.

The Numbers Lawmakers Can’t Ignore

The statistics surrounding domestic violence in Alabama and the US are both staggering and deeply personal. Domestic violence is cited as a top cause of homelessness for women, and it costs billions of dollars nationwide, with one estimate saying that intimate partner violence costs $5.8 billion annually nationwide. This figure includes $4.2 billion for medical costs for physical assault and $1.75 billion in lost productivity. The Institute for Women’s Policy Research estimates the cost of domestic violence at $9.3 billion (2017 dollars), which includes intimate partner violence, sexual assault, and stalking, with medical and lost wages as core components of these costs. For Alabama, extrapolations from Youth Today’s national $3.6 trillion lifetime estimate suggest that state costs are in the low billions. That’s a staggering sum that drains resources from schools, hospitals, and public safety initiatives—money that could otherwise go toward scholarships, better facilities, or improved mental health services.

Every minute, 24 Americans become victims of intimate partner violence, amounting to over 12 million people every year. These aren’t just statistics; they are stories of dreams deferred, educations interrupted, and futures derailed. The consequences ripple outward: children witnessing violence at home are more likely to struggle academically, develop emotional disorders, and, in some cases, perpetuate the cycle of abuse as adults. The link between domestic violence and future criminal behavior is undeniable.

The country’s legal landscape has only made things worse for those at risk of domestic violence. The Supreme Court’s decision to allow states to ban abortion has, according to experts, raised the likelihood that women will be subjected to intimate partner violence. When women lose reproductive autonomy, abusers gain more power, trapping partners in dangerous, sometimes deadly relationships. Domestic violence can be considered a human rights violation, and Alabama’s numbers show just how entrenched the problem is.

Taking Action: Your Role in the Playbook

If you think there’s nothing you can do, think again. Staying silent keeps domestic violence alive; speaking up can end it. Students are uniquely positioned to notice the warning signs—changes in a friend’s mood, unexplained injuries, sudden withdrawal from activities—and offer support. The most important thing you can do is believe survivors, connect them with campus and community resources, and, if necessary, call for help.

There are also events happening throughout Alabama to raise awareness and provide support. On October 24th in Tuscaloosa, the Purple Purse Drive collected donations for survivors. And in September in Birmingham, Safe Bar training was offered at 20 bars to help staff recognize and respond to abuse. These events are more than just calendar entries—they’re opportunities to get involved and save lives.

Conclusion: Your 60-Second Play Call

Domestic violence is not “someone else’s problem.” It is the roommate who flinches at loud noises, the teammate hiding bruises, the future nurse who can’t study because home isn’t safe. Every student in Alabama has the power—and the responsibility—to break the silence.

  1. Post #RollAwayFromViolence on social media and tag @ALCADV to raise awareness.
  2. Vote – some candidates’ domestic violence prevention plans are available at Vote411.org
  3. The huddle is broken. Now make the tackle.

Need help now?

  • National DV Hotline: 1-800-799-7233
  • Alabama 24/7: 1-800-650-6522
  • Text “START” to 88788

Roll Tide—and roll away from violence.