Summary

The alignment problem is the core challenge of AI safety: ensuring AI systems pursue goals compatible with human values. As AI systems become more powerful and autonomous, the consequences of misalignment grow. Alignment is not a solved problem, and current approaches are partial solutions.

Key points

  • 01Alignment is distinct from control or containment -- it is about making the AI want to help, not just keeping it caged.
  • 02Formal specification of human values is extremely difficult: values are complex, contextual, and sometimes inconsistent.
  • 03Scalable oversight is a major research problem: how do humans oversee systems smarter than themselves?
  • 04Multiple research approaches (interpretability, RLHF, constitutional AI, formal methods) are being explored in parallel.

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The unsolved problem keeping AI researchers up at nightWhy we cannot just tell AI to be niceAlignment vs. containment: two approaches to AI safetyThe value alignment problem explained

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