TLDR:
- MIT has developed an AI Risk Repository containing hundreds of documented AI risks.
- The repository can be useful for developers, researchers, policymakers, and enterprises.
Key Elements:
The development of AI is evolving rapidly, bringing about new risks that need to be managed effectively. MIT has created an AI Risk Repository with the aim of providing a comprehensive and unified database of AI risks. The repository contains over 700 documented AI risks across different domains, subdomains, and causes, curated through collaboration with various organizations and academic experts. The researchers identified gaps in existing AI risk frameworks, highlighting the need for a more inclusive approach to assessing AI risks. The AI Risk Repository is intended to be a living document that can be continuously updated to reflect the evolving landscape of AI risks.