Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. - Jonathan Stray; Alon Y. Halevy; Parisa Assar; Dylan Hadfield-Menell; Craig Boutilier; Amar Ashar; Lex Beattie; Michael D. Ekstrand; Claire Leibowicz; Connie Moon Sehat; Sara Johansen; Lianne Kerlin; et al. (CoRR, 2022)

Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation (Extended Abstract). - Declan Grabb; Max Lamparth; Nina Vasan (AIES (1), 2024)

Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation. - Declan Grabb; Max Lamparth; Nina Vasan (CoRR, 2024)

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. - Jonathan Stray; Alon Y. Halevy; Parisa Assar; Dylan Hadfield-Menell; Craig Boutilier; Amar Ashar; Chloé Bakalar; Lex Beattie; Michael D. Ekstrand; Claire Leibowicz; Connie Moon Sehat; Sara Johansen; et al. (Trans. Recomm. Syst., 2024)

Moving Beyond Medical Exam Questions: A Clinician-Annotated Dataset of Real-World Tasks and Ambiguity in Mental Healthcare. - Max Lamparth; Declan Grabb; Amy Franks; Scott Gershan; Kaitlyn N. Kunstman; Aaron Lulla; Monika Drummond Roots; Manu Sharma; Aryan Shrivastava; Nina Vasan; Colleen Waickman (CoRR, 2025)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)