YCSC Grand Rounds: Understanding AI and Anticipating AI Problems in Healthcare

Session Description

Algorithms encode the biases of their creators, and also the biases of society in general. How do we confront this reality and simultaneously harness the enormous possibilities of AI? How can we hold algorithms accountable?

In this talk, NYU professor Meredith Broussard will explore how technologies designed to boost convenience are also prone to perpetuating bias. From sensors trained only to recognize lighter skin tones and the dangerous feedback loops that arise when medical diagnostic algorithms are fed on discriminatory data, real-world bias always emerges inside technological systems.

The learning objectives for this session are to help attendees think through ways that technology may reproduce inequality in medicine and understand novel strategies for addressing persistent social problems.

Continuing Education

This session is approved for Continuing Education Credit (CEC) by the National Association of Social Workers, CT and meets the continuing education criteria for Social Work, Marriage & Family Therapist, Professional Counselor, and Licensed Psychologist Licensure renewal. Additional information and instructions for earning CEC for this session will be provided at the live event.

YCSC Grand Rounds are reviewed for eligibility for Continuing Medical Education (CME) credits on an annual basis and most lecture-style sessions are approved for the year. Yale School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. Individual event designation details are provided at applicable live events.

YCSC Grand Rounds sessions are typically presented in the Cohen Auditorium at 1:00 p.m. on Tuesdays from September through June, with a live stream available via Zoom. Internal participants are encouraged to attend sessions in person​​​​​. Recordings are posted on-line as soon as they are available.