Ethical Behavior
Ethical behavior in artificial intelligence (AI) focuses on developing and deploying AI systems that align with human values and avoid causing harm. Current research emphasizes establishing frameworks for ethical AI development and deployment, particularly for large language models (LLMs) and reinforcement learning agents, addressing issues like bias, fairness, transparency, and accountability. This research is crucial for mitigating the risks associated with increasingly autonomous AI systems and ensuring their responsible integration into various sectors, from healthcare and finance to education and environmental science. The ultimate goal is to build trustworthy and beneficial AI that serves humanity's best interests.
Papers
Report on the Conference on Ethical and Responsible Design in the National AI Institutes: A Summary of Challenges
Sherri Lynn Conklin, Sue Bae, Gaurav Sett, Michael Hoffmann, Justin B. Biddle
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models
Simha Sankar Baradwaj, Destiny Gilliland, Jack Rincon, Henning Hermjakob, Yu Yan, Irsyad Adam, Gwyneth Lemaster, Dean Wang, Karol Watson, Alex Bui, Wei Wang, Peipei Ping