Event Description
When clinical judgment and AI predictions point in different directions, what happens next?
This event will address instances where artificial intelligence and human clinical judgment do not agree, and why these moments of “human–AI dissonance” may become one of the most consequential frontiers in modern medicine.
Through case-based perspectives, the program explores how clinicians are responding to AI-driven recommendations in real clinical environments. Sessions will also address emerging questions of documentation, liability, patient transparency, and shared decision-making. The conversation will look ahead to emerging tools such as digital twins and next-generation clinical infrastructures, exploring how disagreement, accountability, and trust may be intentionally designed into the future of AI-enabled care.
Event Information
Free and open to the public; registration required. Please visit the event webpage for additional information. Please email Alexis Avedisian at [email protected] with any questions.
Hosted by the Data Science Institute at Columbia University.
