AI & Research · arXiv Machine Learning · publications

Open Problems in Frontier AI Risk Management

Source excerpt

This page presents AI and research content to help researchers, students and AI tools read, cite and verify the information.

arXiv:2604.25982v1 Announce Type: new Abstract: 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 best positioned to address them. Recognising that different types of open problems call for different responses, we classify open problems according to whether they reflect (a) a lack of scientific or technical consensus, (b) misalignment with, or challenges to, established risk management frameworks, or (c) shortcomings in implementation despite apparent consensus and alignment. By mapping these open problems and identifying the actors best positioned to address them - including developers, deployers, regulators, standards bodies, researchers, and third-party evaluators - this work aims to clarify where progress is needed to enable robust and meaningful consensus on frontier AI risk management.The paper does not propose specific solutions; instead, it provides a problem-oriented, agenda-setting reference document, complemented by a living online repository, intended to support coordination, reduce duplication, and guide future research and governance efforts.

Your DzCademia workshop

Check a publication method or promise

A video or journal-finding tool can shortlist titles, not guarantee acceptance. Check identity, scope, author instructions and possible fees at official sources. Do not choose solely on speed promises or one indicator.

A practical exercise

Compare two journals against your research question: fit, article types, instructions and verified terms. Keep unknowns as questions rather than assumptions.

Record reference points

Topic: Open Problems in Frontier AI Risk Management
Source website: arxiv.org
Publication date at source: 2026-04-30
Collection date on DzCademia: 2026-05-01

My preparation plan

An indicative personal list, separate from official documents or requirements. Checkmarks stay on this device; no account needed.

Identify the journal and official site.Read the scope and sample papers.Check instructions and possible charges.Reject unsupported publication guarantees.Prepare an original, compliant manuscript.

0 / 5 steps checked

Read the source

DzCademia advice and exercises are separate from the source summary and requirements. This structured aid uses automated assistance and is neither scientific validation nor a selection promise. Source consulted on 2026-10-28.

View the original source

Official or original source: arXiv Machine Learning. Always check the details against the primary source.

Back to AI & Research

Open Problems in Frontier AI Risk Management

Check a publication method or promise

A practical exercise

Comment with Google

Your browsing, your choices