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Ida Sim, MD, PhD, FACMI Ida Sim, MD, PhD, FACMI September 16, 2025 Ida Sim, MD, PhD, FACMI | September 16, 2025 September 2025 Every month, the Bridge Center will invite a speaker to participate in a monthly speaker series…
Jennifer K. Wagner, JD, PhD Jennifer K. Wagner, JD, PhD August 19, 2025 Jennifer K. Wagner, JD, PhD | August 19, 2025 August 2025 Every month, the Bridge Center will invite a speaker to participate in a monthly speaker series…
Marzyeh Ghassemi, Ph.D. Marzyeh Ghassemi, Ph.D. July 15, 2025 Marzyeh Ghassemi, Ph.D. | July 15, 2025 July 2025 Every month, the Bridge Center will invite a speaker to participate in a monthly speaker series related to ethical issues in biomedical…
Shannon McWeeney, Ph.D. Shannon McWeeney, Ph.D. June 17, 2025 Shannon McWeeney, Ph.D.| June 17, 2025 June 2025 Every month, the Bridge Center will invite a speaker to participate in a monthly speaker series related to ethical issues in biomedical research. …
Glenn Cohen, JD, discussed legal and ethical issues that arose when hospitals implemented medical AI, including ambient listening, AI scribing, and AI drafting of communication with patients, as well as more clinical technologies.
Dr. Nebeker and Kumar discussed collecting accelerometry data from wrist-worn devices and the potential re-identification risks for research participants.
Dr. Hernandez-Boussard, examined ethical challenges in healthcare AI, focusing on bias, accountability, transparency, and fairness.
Dr. Ghosh discussed voice as a personal biometric marker that conveys identity, emotion, and intent, while also posing privacy risks in audio-driven technologies.
Dr. Leo Celi presented on the societal implications of AI, addressing concerns such as its role in accelerating climate change, reinforcing systemic inequities through data bias, and fostering monopolistic dependencies on large firms.
Dr. Leo Celi presented on the societal implications of AI, addressing concerns such as its role in accelerating climate change, reinforcing systemic inequities through data bias, and fostering monopolistic dependencies on large firms.