Skip to content

Ethical Use of Artificial Intelligence in Public Health: Mitigating Risks and Advancing Health Equity.

Aug 2026 · American Journal of Public Health · pp. e1-e9 · 0 citations
Medicine

TL;DR

This work examines current AI applications in public health through the lens of established ethical principles, with particular attention to historically marginalized communities, and proposes concrete strategies, including mandatory equity impact assessments, validation in the communities of intended use, and sustained investment in public health workforce capacity to evaluate AI tools.

Abstract

. 2026;116(10):1520-1528. https://doi.org/10.2105/AJPH.2026.308638).

View source

Similar papers

Open access Sep 2026

A critical perspective and integrative PRISM framework on artificial intelligence and the future of public health

Artificial intelligence is transforming public health at an unprecedented pace – accelerating disease surveillance, reshaping evidence synthesis, augmenting clinical and policy decision-making, and fundamentally altering how populations interact with health information. Yet this rapid integration has consistently outpa...

Dev Roychowdhury · 0 citations
Review Aug 2026

Artificial intelligence in medicine: An ethical and legal review.

This review addresses the primary ethical principles relevant to AI in medicine - including respect for patient autonomy, beneficence, non-maleficence, and justice - alongside key legal frameworks with respect to liability, data protection, regulatory compliance, and algorithmic transparency.

Sebastian Schleidgen, O. Friedrich · 0 citations
Aug 2026

Legal Regulation of Artificial Intelligence in Healthcare: Challenges, Opportunities, and Ethical Considerations

Artificial Intelligence (AI) has emerged as a transformative technology in the healthcare sector, revolutionizing medical diagnosis, treatment planning, disease prediction, robotic surgery, personalized medicine, and healthcare administration. AI-driven technologies improve clinical efficiency, reduce human error, acce...

Research Author · 0 citations
Open access Sep 2026

Sustainable artificial intelligence in global health: balancing promise, equity, and environmental realities in low- and middle-income countries.

OBJECTIVE Artificial intelligence (AI) adoption in global health informatics is accelerating, yet scaling, sustainability, equity, and environmental challenges limit impact, particularly in Low and Middle Income Countries (LMICs). MATERIALS AND METHODS Drawing on experience from members of the American Medical Inform...

Yuri Quintana, Titus Schleyer, Arriel Benis et al. · 0 citations
Open access Sep 2026

Implications of the new US AI framework in medicine

Artificial intelligence (AI) is entering medicine through diagnostic, administrative, and patient-facing applications, yet governance remains fragmented across medical product regulation, hospital oversight, privacy, civil-rights law, research ethics, and consumer protection. The March 2026 White House National Policy...

A. Armoundas · 0 citations
Review Open access Sep 2026

Artificial intelligence in mental health: A narrative review of applications, benefits, and ethical challenges

Artificial intelligence (AI) is transforming mental health care by enabling novel approaches to assessment, outcome prediction, and treatment. However, the rapid growth of AI tools has outpaced evidence synthesis on their realworld clinical value, implementation barriers, and ethical risks, leaving clinicians and p...

Shizal Nawaz, Laiba Nawaz, Hasnain Ali et al. · 0 citations

Related blog posts

MIT News · Artificial Intelligence Sep 29, 2026

Who we become when we talk to machines

Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.