Regulatory Foundations, Ethics, and Law Program

Ethic Unwrapped

This glossary from the University of Texas defines key ethical principles in AI, such as fairness, transparency, and accountability. It is critical to human participant research as these principles guide the ethical use of AI in studies involving sensitive participant data, ensuring the research respects participants’ rights and dignity.

Author: University of Texas, McCombs School of Business

Developers Claim AI can Help Combat Loneliness, but Critics say it Can’t be Trusted

This video from PBS News explores the potential of AI to address issues of loneliness, especially through applications designed to provide social interaction and support. It also presents critiques regarding the reliability and ethical concerns surrounding these AI solutions. The video provides insights into the application of AI in addressing loneliness and underscores the need for careful consideration of both the potential benefits and limitations of AI interventions in research involving human participants.

Authors: Paul Solman and Ryan Connelly Holmes