AI’s errors may be impossible to eliminate – what that means for its use in health care
(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.)
Carlos Gershenson, Binghamton University, State University of New York
(THE CONVERSATION) In the past decade, AI’s success has led to uncurbed enthusiasm and bold claims – even though users frequently experience errors that AI makes. An AI-powered digital assistant can misunderstand someone’s speech in embarrassing ways, a chatbot could hallucinate facts, or, as I experienced, an AI-based navigation tool might even guide drivers through a corn field – all without registering the errors.
People tolerate these mistakes because the technology makes certain tasks more efficient. Increasingly, however, proponents are advocating the use of AI – sometimes with limited human supervision – in fields where mistakes have high cost, such as health care. For example, a bill introduced in the U.S. House of Representatives in early 2025 would allow AI systems to prescribe medications autonomously. Health researchers as well as lawmakers since then have debated whether such prescribing would be feasible or advisable.
How exactly such prescribing would work if this or similar legislation passes remains to be seen. But it raises the...