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Skilled and Mobile: Survey Evidence of Immigration Preferences of AI Researchers., , , , , , and . CoRR, (2021)Foundational Challenges in Assuring Alignment and Safety of Large Language Models., , , , , , , , , and 28 other author(s). CoRR, (2024)Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims., , , , , , , , , and 49 other author(s). CoRR, (2020)Responsible Reporting for Frontier AI Development., , , , , , , , , and . CoRR, (2024)Towards Publicly Accountable Frontier LLMs: Building an External Scrutiny Ecosystem under the ASPIRE Framework., , , , , , , , , and . CoRR, (2023)Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives., , , , , , , , , and 12 other author(s). CoRR, (2023)Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers., , , , , , and . CoRR, (2022)Computing Power and the Governance of Artificial Intelligence., , , , , , , , , and 9 other author(s). CoRR, (2024)Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers., , , , , and . CoRR, (2021)Filling gaps in trustworthy development of AI., , , , , , , , , and 2 other author(s). CoRR, (2021)