The Capacity for Moral Self-Correction in Large Language Models. - Deep Ganguli; Amanda Askell; Nicholas Schiefer; Thomas I. Liao; Kamile Lukosiute; Anna Chen; Anna Goldie; Azalia Mirhoseini; Catherine Olsson; Danny Hernandez; Dawn Drain; Dustin Li; et al. (CoRR, 2023)

Ecosystem Graphs: The Social Footprint of Foundation Models. - Rishi Bommasani; Dilara Soylu; Thomas I. Liao; Kathleen A. Creel; Percy Liang (CoRR, 2023)

Towards Measuring the Representation of Subjective Global Opinions in Language Models. - Esin Durmus; Karina Nyugen; Thomas I. Liao; Nicholas Schiefer; Amanda Askell; Anton Bakhtin; Carol Chen; Zac Hatfield-Dodds; Danny Hernandez; Nicholas Joseph; Liane Lovitt; Sam McCandlish; et al. (CoRR, 2023)

Specific versus General Principles for Constitutional AI. - Sandipan Kundu; Yuntao Bai; Saurav Kadavath; Amanda Askell; Andrew Callahan; Anna Chen; Anna Goldie; Avital Balwit; Azalia Mirhoseini; Brayden McLean; Catherine Olsson; Cassie Evraets; et al. (CoRR, 2023)

Ecosystem Graphs: Documenting the Foundation Model Supply Chain. - Rishi Bommasani; Dilara Soylu; Thomas I. Liao; Kathleen A. Creel; Percy Liang (AIES (1), 2024)

Collective Constitutional AI: Aligning a Language Model with Public Input. - Saffron Huang; Divya Siddarth; Liane Lovitt; Thomas I. Liao; Esin Durmus; Alex Tamkin; Deep Ganguli (FAccT, 2024)