On 15 April 2026, we held a SafetyNet webinar on The AI Human intersection: considerations for patient safety, delivered by Adam Rodman, Assistant Professor and Harvard Medical School Director of AI Programs.

The diagnostic excellence movement has largely been based in retrospective error adjudication, with the hope that by identifying trends in medical errors we can make specific systems changes to prevent them in the future. Generative AI models, especially with recent advances in “reasoning” models and agentic frameworks, offer a new paradigm — identifying errors before they happen.

This webinar aimed to describe a fundamental tension between two different care models — dyadic and triadic care — and detail technological innovations like scalable oversight and benchmarking that could theoretically upend diagnostic safety as we know it. The talk also soberly evaluates the current evidence, with a focus on clinical trials.

Watch the recording:

Meet the speaker

Adam Rodman
Assistant Professor, Harvard Medical School Director of AI Programs

Adam Rodman is a general internis­­­t and medical educator at Beth Israel Deaconess Medical Center and an assistant professor at Harvard Medical School. He is the Director of AI Programs for the Carl J. Shapiro Center for Education and Research, and he leads the task force for integration of AI into the medical school curriculum. He is also an associate editor at NEJM AI. His research focuses on medical education, clinical reasoning, integration of digital technologies, and human-computer interaction, especially with AI. His first book is entitled “Short Cuts: Medicine,” and he is the host of the American College of Physicians podcast Bedside Rounds.

Related