Vicarious Liability
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.
This repository is under review for potential modification in compliance with Administration directives.
daniweng
Dr. You Chen, PhD, FAMIA Receives PECASE Award
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 – Re-identification Risks in Wearable Sensor Data: Ethical and Privacy Challenges in Digital Health Research
Dr. Nebeker and Kumar discussed collecting accelerometry data from wrist-worn devices and the potential re-identification risks for research participants.
Reidentification Risk
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 – Ensuring Responsible AI in Healthcare: Ethical Challenges and Pathways to Equity
Dr. Hernandez-Boussard, examined ethical challenges in healthcare AI, focusing on bias, accountability, transparency, and fairness.
Dr. Ghosh – Concepts of Identity in Voice: Audio Data Processing and Anonymization
Dr. Ghosh discussed voice as a personal biometric marker that conveys identity, emotion, and intent, while also posing privacy risks in audio-driven technologies.
Anonymization
To remove identifying information from something (such as computer data) so that the original source cannot be known; to make something anonymous.
Dr. Mello – Using AI in Patient Care: Emerging Legal Issues
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.
Digital Biomarker
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.
Hallucination
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.