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.
To remove identifying information from something (such as computer data) so that the original source cannot be known; to make something anonymous.
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.
Trustworthiness, a commonly recognized antecedent to trust, can be described as the perception of probabilities, or expectation, that a trusting relationship will result in gains and/or losses from engaging in an encounter that requires trust.