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AI安全性・アラインメント

Research paper identifies open problems in frontier AI risk management across planning, identification, analysis, evaluation, and mitigation stages

arXiv cs.LG · 2026年4月30日

AI要約

  • •A systematic review by Ziosi, Plueckebaum, Casper, and 15 other authors examines unresolved challenges in frontier AI risk management, surfacing open problems at each stage of the risk management process.
  • •The work classifies open problems into three categories: lack of scientific or technical consensus, misalignment with established risk management frameworks, and implementation shortcomings despite apparent consensus.
  • •The paper identifies developers, deployers, regulators, standards bodies, researchers, and third-party evaluators as actors positioned to address frontier AI risk challenges, and is accompanied by a living online repository intended to support coordination and guide future research and governance efforts.
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