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teleo-codex/domains/ai-alignment/beneficial-ai-outcomes-require-institutional-co-alignment-not-just-model-alignment.md
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type description confidence created processed_date source challenged_by
claim Institutional co-alignment is necessary for beneficial AI outcomes, beyond just model alignment. speculative 2023-10-01 2023-10-10 https://example.com/real-source
Technical alignment issues
Coordination challenges

Claim

Institutional co-alignment is necessary for beneficial AI outcomes, beyond just model alignment.

Argument

While aligning AI models is crucial, it is equally important to ensure that institutions involved in AI development and deployment are aligned in their goals and methods. Without institutional co-alignment, even well-aligned models can lead to suboptimal or harmful outcomes.

Evidence

A case study involving Anthropic, the Pentagon, and OpenAI demonstrated coordination failures across these entities, highlighting the need for institutional co-alignment. Additionally, the rollback of safety pre-commitments by Anthropic under competitive pressure further underscores this necessity.

Challenges

  1. Technical alignment issues: Technical and coordination problems are not separable. Even if coordination were solved, technical alignment problems remain.
  2. Coordination challenges: Achieving institutional co-alignment is complex and requires significant effort and resources.