The author argues that current AI safety plans, like Google's, are too "depth-first," relying on a narrow set of assumptions that, if unmet, could lead to catastrophic failure. Instead, a "breadth-first" approach is needed, where multiple strategies are pursued simultaneously, each with different underlying conditions for success. This disjunctive planning increases resilience, ensuring that even if some assumptions prove false, other parts of the safety strategy can still function. AI
IMPACT Advocates for a more robust and resilient approach to AI safety planning, which could influence future development and deployment strategies.
RANK_REASON Opinion piece discussing AI safety planning strategies.
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