Securing AGI: DeepMind's Approach to Technical AI Safety

[BoticsBay]

Google DeepMind's April 2025 report, "An Approach to Technical AGI Safety and Security," outlines strategies to mitigate significant risks associated with Artificial General Intelligence (AGI). The report identifies four primary risk areas: misuse, misalignment, mistakes, and structural risks. It emphasizes technical approaches to address misuse and misalignment. To prevent misuse, the report recommends proactive identification of dangerous capabilities, robust security measures, access restrictions, continuous monitoring, and model safety mitigations. For misalignment, it proposes two lines of defense: model-level mitigations, such as amplified oversight and robust training to ensure alignment with human intentions, and system-level security measures, including monitoring and access control, to mitigate potential harms even if misalignment occurs. Techniques from interpretability, uncertainty estimation, and safer design patterns are suggested to enhance these mitigations. The report also discusses combining these elements to produce comprehensive safety cases for AGI systems.

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https://storage.googleapis.com/deep...Approach_to_Technical_AGI_Safety_Apr_2025.pdf