Paris Peace Forum 2025 | 29-30 Oct.
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The MIT AI risk Repository is a comprehensive living database of over 700 AI risks categorized by their cause and risk domain.
The AI Risk Database captures 700+ risks extracted from 43 existing frameworks, with quotes and page numbers. The Causal Taxonomy of AI Risks classifies how, when, and why these risks occur. The Domain Taxonomy of AI Risks classifies these risks into seven domains (e.g., “Misinformation”) and 23 subdomains (e.g., “False or misleading information”).
The project is intended to help decision-makers in government, research, and industry to understand and prioritize the risks associated with AI and to work together to address them.
MIT FutureTech is an interdisciplinary group at MIT that studies the foundations of progress in computing: what are the most important trends, how do they underpin economic prosperity, and how can they be harnessed to sustain and promote productivity growth.
Our research has been published in leading journals and conferences, including Science, Nature Communications, Communications of the ACM, IEEE Spectrum, and many more. Our research has been covered by the Washington Post, Nature, Wired, and many more.
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