Sign inGet started
Paper · arXiv

Open Problems in Frontier AI Risk Management

Frontier AI both amplifies existing risks and introduces qualitatively novel challenges. Not only is there a notable lack of stable scientific consensus resulting from the rapid pace of technological change, but emerging frontier AI safety practices are often misaligned with, or may undermine, established risk management frameworks. To address these challenges, we systematically surface open problems in frontier AI risk management. Adopting a problem-oriented approach, we examine each stage of the risk management process - risk planning, identification, analysis, evaluation, and mitigation - through a structured review of the literature, identifying unresolved challenges and the actors be...

AuthorsMarta Ziosi, Miro Plueckebaum, Stephen Casper et al.
Primary categorycs.LG
Published28 April 2026
Last updated at source28 April 2026
cs.LGcs.AIcs.CYcs.ET
Embed this entry
<iframe src="https://silytics.si/embed/item/d7e5995b-f849-45b8-9094-059bd12aea5a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.