By Matthew Chun
The U.S. Food and Drug Administration (FDA), in fulfilling its task of ensuring that drugs are safe and effective, has recently turned its attention to the growing use of artificial intelligence (AI) and machine learning (ML) in drug development. On May 10, FDA published a discussion paper on this topic and requested feedback “to enhance mutual learning and to establish a dialogue with FDA stakeholders” and to “help inform the regulatory landscape in this area.” In this blog post, I will summarize the main themes of the discussion paper, highlighting areas where FDA seems particularly concerned, and detailing how interested parties can engage with the agency on these issues.