Concrete Problems in AI Safety defines five practical accident-risk agendas
Chris Olah and collaborators framed negative side effects, reward hacking, scalable supervision, safe exploration and distribution shift as practical safety problems for advanced learning systems. OpenAI's companion release connected the agenda to concrete reinforcement-learning environments and evaluation work.
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Why it moved the index
The paper converted broad accident concerns into five durable research targets, while OpenAI's dated release documented concrete reinforcement-learning environments and practical use. The work improved the field's ability to specify and test failures, although it did not itself solve them.
Assessment history
- R1Away 36 · confidence 92
Adds a source-verified pre-2020 milestone after the Chris Olah backfill established authorship, publication time and practical safety impact.
14 Aug 2026