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MIT releases comprehensive database of AI risks


Researchers at MIT have released the AI Risk Repository, a comprehensive database that can help organizations identify and mitigate AI risks.

The AI Risk Repository tackles this challenge by consolidating information from 43 existing taxonomies, including peer-reviewed articles, preprints, conference papers and reports. The research team acknowledges that while the repository offers a comprehensive foundation, organizations will need to tailor their risk assessment and mitigation strategies to their specific contexts. They could invest significant time to review the scattered literature to develop a comprehensive overview, or they could use a limited number of existing frameworks, which might miss relevant risks.

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