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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. …
The Human Voice & AI as a Diagnostic Tool for Health The human voice is more than a medium for communication—it’s a rich, multidimensional signal that reflects our physiological and psychological states. In a compelling article published in Nature (Outlook Feature),…
Call for Abstracts: Special Sessions on Cyberinfrastructure and Emerging Technologies in Biomedical Research ISMB/ECCB 2025 | July 20–24, 2025 | Liverpool, United Kingdom Sponsored by the National Institutes of Health (NIH) We invite researchers to submit abstracts for the Special…
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.
When a principal party is responsible for the actionable conduct of their agent based on the relationship between the two parties. In our context, when hospital systems are legally responsible for the actions of clinicians.
Congratulations to Dr. You Chen, PhD, FAMIA, on receiving the Presidential Early Career Award for Scientists and Engineers (PECASE)—the highest honor bestowed by the U.S. government on early-career scientists and engineers. On January 14th, former President Joe Biden honored nearly 400 federally funded researchers with this prestigious…
Dr. Nebeker and Kumar discussed collecting accelerometry data from wrist-worn devices and the potential re-identification risks for research participants.
To remove identifying information from something (such as computer data) so that the original source cannot be known; to make something anonymous.
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.