This opinion piece argues that focusing solely on corrigibility in AI safety is insufficient. The authors suggest that while corrigibility is important for ensuring AI systems can be corrected, it overlooks other critical aspects of AI alignment. They propose broadening the scope of AI safety research to include a wider range of concerns beyond just the ability to shut down or modify an AI. AI
IMPACT Argues for a more comprehensive approach to AI safety research beyond just corrigibility.
RANK_REASON Opinion piece discussing AI safety concepts.
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