AI Governance Challenges Part 2: Deployment Safety
When current generation AI models are deployed to the market, they usually contain a set of safety features. We argue that those mechanisms are not sufficient and look at ways how they can be circumvented.
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Policy Recommendations for the South Korea AI Safety Summit
Recent breakthroughs in AI innovation have only heightened the urgency for closer international cooperation and the swift implementation of safety measures, particularly those addressing the most capable, most high-risk advanced AI systems. Here are ICFG’s recommendations for world leaders attending the May 2024 AI Safety Summit.
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Enhancing Global AI Governance through Compute Resource Management
ICFG proposes that the G7 countries back an international institution that designs international standards for the responsible management of compute resources. Such standards would help expand AI governance to cover the entire AI lifecycle, as appropriate for such a high-risk technology, and as proposed in the 2023 Hiroshima Guiding Principles.
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AI governance challenges part 3: Proliferation
Once AI models have leaked to the public, they are impossible to contain. We discuss why this is an AI governance problem, and how it can be addressed.
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