107 citations · 114 across the 3 of their papers we have counts for
3 papers
Expert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing
Kiana Jafari, Paul Ulrich Nikolaus Rust, Duncan Eddy +7
Learning from human feedback~(LHF) assumes that expert judgments, appropriately aggregated, yield valid ground truth for training and evaluating AI systems. We tested this assumpti…
Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation
Declan Grabb, Max Lamparth, Nina Vasan
Amidst the growing interest in developing task-autonomous AI for automated mental health care, this paper addresses the ethical and practical challenges associated with the issue a…
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
Jonathan Stray, Alon Halevy, Parisa Assar +18
Recommender systems are the algorithms which select, filter, and personalize content across many of the worlds largest platforms and apps. As such, their positive and negative effe…