Quality and safety of artificial intelligence generated health information

Generative AI is rapidly advancing and holds significant promise for improving health, but it also poses substantial risks that need effective oversight. This editorial, published in BMJ “Fast facts” identifies health-related risks of generative AI, such as errors, disinformation, privacy concerns, and biases, and suggests mitigation strategies. Emphasis is placed on the need for ongoing vigilance, transparency, and ethical practices to manage these risks. The editorial underscores the importance of robust AI safety and ethical guidelines in this rapidly evolving field.

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BMJ 2024; 384 :q596 doi:10.1136/bmj.q596

Recommended on behalf of EASE by Silvia Maina, Italy


Written by: Sorich M J, Menz B D, Hopkins A M.