Presents a taxonomy for AI loss of control incident management that distinguishes extremely costly versus impossible regaining of control and accidental versus adversarial scenarios.
and Dean, R., 2025
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CY 2years
2026 2representative citing papers
Delphi study of 272 experts finds 18 of 24 AI risks >10% likely to cause catastrophe by 2030 in business-as-usual, dropping to five under mitigations; users and public most vulnerable, developers and governments most responsible.
citing papers explorer
-
AI Loss of Control Incident Management: Response & Resilience
Presents a taxonomy for AI loss of control incident management that distinguishes extremely costly versus impossible regaining of control and accidental versus adversarial scenarios.
-
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
Delphi study of 272 experts finds 18 of 24 AI risks >10% likely to cause catastrophe by 2030 in business-as-usual, dropping to five under mitigations; users and public most vulnerable, developers and governments most responsible.