AI Model Risk
What is AI Model Risk?
The potential for adverse consequences arising from decisions based on AI models that are incorrect, misused, or produce unintended outcomes.
Frameworks that govern ai model risk
What the standards actually require on ai model risk
Requirements naming ai model risk across 6 standards, quoted from the control text.
Establish documented AI risk policy stating objectives, scope, roles, criteria, and review cadence.
23894-5.4.2 · AI Risk Management Policy →Maintain the O-RAN threat model and risk management per O-RAN Alliance WG11 Security Threat Model and Risk Assessment specifications.
ORANWG11-1 · O-RAN Threat Model, Risk Management, and Security Architecture →The organization’s personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements.
AIRMF-GV-2.2 · The organization's personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements →Manage frontier model risk + capability disclosure + independent evaluation per OECD 2024 Update + emerging international AI safety governance.
OECDAI24-3 · Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation →A developer/deployer has an affirmative defense if it discovers and cures a violation through internal testing/red-teaming and is otherwise in compliance with the latest NIST AI Risk Management Framework, ISO/IEC 42001, or another nationally/internationally re...
CO-AIA-1705 · Affirmative Defense and Recognised Frameworks →Clauses 8 + 8.1 + 8.2 establish ethical risk management and Clause 10 establishes validation of ethical outcomes. Per public IEEE 7000-2021 abstract + Wikipedia + academic literature (full IEEE text NOT reproduced): ethical risk identification covering: harm t...
IEEE7000-EthicalRisk-Identification-Analysis-Treatment-ValidationOutcomes · IEEE 7000 Clauses 8 + 8.1 + 8.2 - Ethical Risk Identification + Analysis + Treatment + Validation of Ethical Outcomes + AI Safety + Robustness + Adversarial Protection →Questions people ask about ai model risk
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