Gen AI, Mental Health and Society
Panel at the International Neuroethics Society
Blog
Research, Writing, Talks and News on the intersections of technology and mental health.
Mental Health, Chatbots, and the Future of Care
“We have an opinion on what we think a current best practice might be, but we also acknowledge that because of this technology…usage is evolving so fast, the evaluation has to evolve with them.”
VERA-MH: Reliability and Validity of an Open-Source AI Safety Evaluation in Mental Health
VERA-MH is compared to practicing clinicians
VERA-MH Concept Paper
Introducing Validation of Ethical and Responsible AI in Mental Health, a new clinically-grounded open-source tool evaluation of safety of chatbots.
What Leaders Need to Know About Auditing AI
Harvard Business Review
LTI Colloquium: Responsible AI from RecSys to GenAI
Language Technologies Institute at Carnegie Mellon (LTI at CMU)
What's in an Algorithm? Empowering users through nutrition labels for recommender systems
Knight Institute Symposium on “Optimizing for What? Algorithmic Amplification and Society”
Randomization, Neutrality, and Fairness
Panel at Simons Laufer Mathermatic Sciences Institute
The NIST AI Risk Management Framework
Berkeley AI Law Institute
Model Collapse and Bias in AI
SES Standards and Innovation Forum 2023.
Keynote talk at Evaluating RecSys 2023
EvalRS aims to bring together practitioners from industry and academia to foster a debate on rounded evaluation of recommender systems, with a focus on real-world impact across a multitude of deployment scenarios.
Responsible AI in Practice: Lessons from Experience at Scale
European Center for Algorithmic Transparency / Joint Research Centre