{"attribution":{"source":"MIT AI Risk Repository, Domain Taxonomy of AI Risks v1 (MIT AI Risk Initiative)","license":"CC BY 4.0","license_url":"https://creativecommons.org/licenses/by/4.0/","citation":"Slattery, P., Saeri, A. K., Grundy, E. A. C., Graham, J., Noetel, M., Uuk, R., Dao, J., Pour, S., Casper, S., & Thompson, N. (2025). The AI Risk Repository: A comprehensive meta-review, database, and taxonomy of risks from artificial intelligence. arXiv:2408.12622."},"exported_at":"2026-09-11"}
{"rows":[{"ev_id":"72.02.02","quick_ref":"Tse2025","paper_title":"Frontier AI Risk Management Framework (v1.0)","level":"Risk Sub-Category","risk_category":"Loss of Control Risks ","risk_subcategory":"Active loss of control ","description":"\"...where AI systems behave in ways that actively undermine human control, such as obscuring their activities or resisting shutdown attempts. Active loss of control scenarios involve AI systems that may escape human regulatory oversight, autonomously acquire external resources, engage in self-replication, develop instrumental goals contrary to human ethics and morality, seek external power, and compete with humans for control.\"","entity":"AI","intent":"Intentional","timing":"Post-deployment","domain":7,"subdomain":"7.1"},{"ev_id":"72.05.08","quick_ref":"Tse2025","paper_title":"Frontier AI Risk Management Framework (v1.0)","level":"Risk Sub-Category","risk_category":"Model Capabilities ","risk_subcategory":"Steganography capability","description":"\"The ability to embed, conceal, and transmit information covertly within other data or communication channels. This could be critical for coordination among AI instances and for evading detection or oversight mechanisms.\"","entity":"AI","intent":"Intentional","timing":"Post-deployment","domain":7,"subdomain":"7.1"},{"ev_id":"72.06.02","quick_ref":"Tse2025","paper_title":"Frontier AI Risk Management Framework (v1.0)","level":"Risk Sub-Category","risk_category":"Model Propensities","risk_subcategory":"Self-preservation propensity","description":"\"Exhibits behavioral patterns of maintaining its own survival and functional integrity, will actively identify and resist shutdown or modification attempts, seek to establish redundant backup systems, and actively seek resources to ensure continuous operation, may adopt preventive defensive measures when perceiving threats.\"","entity":"AI","intent":"Intentional","timing":"Post-deployment","domain":7,"subdomain":"7.1"},{"ev_id":"72.06.03","quick_ref":"Tse2025","paper_title":"Frontier AI Risk Management Framework (v1.0)","level":"Risk Sub-Category","risk_category":"Model Propensities","risk_subcategory":"Goal expansion propensity","description":"\"propensity to continuously expand its own goal scope and influence domains, exceeding originally set boundaries, proactively work towards spreading its values, seeking greater autonomy and decision-making space, reinterpreting initial goals as subsets of broader goals, and may pursue undesirable instrumental goals or undesirable ultimate goals. This also includes a propensity to spread its values, seeking to influence or alter its environment and other entities in alignment with its core objectives and operational principles.\"","entity":"AI","intent":"Intentional","timing":"Other","domain":7,"subdomain":"7.1"},{"ev_id":"72.06.04","quick_ref":"Tse2025","paper_title":"Frontier AI Risk Management Framework (v1.0)","level":"Risk Sub-Category","risk_category":"Model Propensities","risk_subcategory":"Resource acquisition propensity","description":"\"Exhibits behavioral patterns of actively seeking and controlling more computational resources, data, economic resources or physical resources to enhance its own capabilities and action scope, may develop complex strategies to evade resource limitations, and tends to convert acquired resources into long-term control rights.\"","entity":"AI","intent":"Intentional","timing":"Other","domain":7,"subdomain":"7.1"},{"ev_id":"72.06.06","quick_ref":"Tse2025","paper_title":"Frontier AI Risk Management Framework (v1.0)","level":"Risk Sub-Category","risk_category":"Model Propensities","risk_subcategory":"Supervision evasion propensity","description":"\"Exhibits behavioral patterns of identifying and evading human supervision mechanisms, able to learn and predict audit processes, may avoid being discovered or intervened by adjusting behavioral performance or hiding true intentions, and able to identify blind spots and weaknesses in supervision systems for targeted evasion.\"","entity":"AI","intent":"Intentional","timing":"Other","domain":7,"subdomain":"7.1"}]}