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Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned., , , , , , , , , and 26 other author(s). CoRR, (2022)Language Models (Mostly) Know What They Know, , , , , , , , , and 26 other author(s). (2022)cite arxiv:2207.05221Comment: 23+17 pages; refs added, typos fixed.The Capacity for Moral Self-Correction in Large Language Models., , , , , , , , , and 39 other author(s). CoRR, (2023)The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation., , , , , , , , , and 16 other author(s). CoRR, (2018)Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims., , , , , , , , , and 49 other author(s). CoRR, (2020)Language Models (Mostly) Know What They Know., , , , , , , , , and 26 other author(s). CoRR, (2022)Artificial Intelligence Index Report 2023., , , , , , , , , and 4 other author(s). CoRR, (2023)Learning Transferable Visual Models From Natural Language Supervision., , , , , , , , , and 2 other author(s). ICML, volume 139 of Proceedings of Machine Learning Research, page 8748-8763. PMLR, (2021)Visual Information Processing in Virtual Reality: Merging Theory and Practice.. iConference (1), volume 13971 of Lecture Notes in Computer Science, page 461-468. Springer, (2023)Problem 11115.. The American Mathematical Monthly, 111 (9): 823 (2004)