GENEVA, September 22 — The World Health Organization published a new report calling for stronger ethical safeguards and oversight of artificial intelligence-related health research, warning that the committees meant to police that work may not be ready for what AI throws at them. The report, titled “Artificial Intelligence-related health research: ethics review and oversight,” was jointly developed by WHO experts working in research ethics, science, and digital health and AI.
It is the agency’s first real attempt to map how ethical review should function when AI sits somewhere in the research pipeline — and it lands as AI-enabled tools move into health settings faster than the rules governing them.
Three kinds of AI health research
Here’s what it means, in plain terms. The report sorts AI-related health research into three broad categories. There is health-related research with data that uses AI.
There is research with AI tools and technologies. And there is health-related research on AI tools and technologies — studying the systems themselves.
Each category raises its own oversight questions, and the report traces how ethical review can be strengthened across the whole research lifecycle, from study design and ethics review through to publication, regulation, and implementation. The WHO’s concern is specific. Existing ethics oversight mechanisms, the report warns, may not always be equipped to address novel risks tied to AI — transparency, bias, fairness, accountability, privacy, and potential harms arising from the rapid deployment of AI-enabled tools.
Ethics committees need more than good intentions
Research ethics committees will keep their central role in protecting research participants, according to the report. But it says those committees may need additional expertise, training, and resources to effectively review increasingly complex AI-related studies. Think of it like handing a building inspector a set of blueprints for a structure built from materials that did not exist when the inspector was trained.
The inspector still has the job. The job has changed.
The report also puts responsibility on researchers themselves — to identify and mitigate ethical risks early, communicate transparently, and weigh the broader societal implications of AI technologies. And it goes beyond the committee room. Funders, scientific journals, data governance bodies, professional societies, and regulatory agencies all have roles to play in promoting responsible AI-related health research, the report says, because some systemic challenges cannot be managed through project-by-project review alone.
The equity problem
Much of today’s AI research and technology development remains concentrated in higher-income settings, the report notes. It examines the challenges and opportunities this creates in low- and middle-income countries, and concludes that strengthening local leadership, capacity, and participation in AI-related health research will be critical to ensuring equitable benefits and avoiding new forms of exclusion or inequity. Dr Meg Doherty, Director of the WHO’s Department of Science for Health, framed the balance the report tries to strike.
“Artificial intelligence is creating unprecedented opportunities to accelerate health research and improve people’s lives,” she said. “At the same time, innovation must be guided by strong ethical safeguards that protect human dignity, rights and equity.
This report provides practical considerations to help researchers, ethics committees and policy-makers navigate the opportunities and risks associated with AI-related health research.” Dr Alain Labrique, Director of the Department of Data, Digital Health Analytics and Artificial Intelligence, pointed to the coordination problem. “Effective governance of AI in health research requires collaboration across disciplines, sectors and institutions,” he said.
“As AI technologies continue to evolve rapidly, we need oversight mechanisms that are agile, evidence-based and capable of ensuring that innovation remains safe, trustworthy and beneficial for all.” The practical upshot for anyone building or deploying AI in a health context: the ethics paperwork is about to get more serious, and the WHO is signaling that it expects the reviewers to keep pace with the technology rather than the other way around.
WHO describes the report as a starting point for strengthening ethics oversight in the era of AI-related health research. Watch for how national ethics bodies and funders respond — whether they adopt the report’s categories as a review framework, and whether the training and resources it calls for actually materialize for the committees doing the work.
