SmartSuite for the AI Risk Officer
The AI Risk Officer owns the risk view of artificial intelligence: the AI risk taxonomy, tiering of use cases, assessment of harms such as bias, safety, security and drift, and the controls that keep high-risk systems within tolerance. They report AI risk to the CRO.
What you own
- Maintain the AI risk taxonomy and tiering criteria
- Assess AI use cases for bias, safety, security, privacy and drift risk
- Define required controls and monitoring by risk tier
- Review high-risk system approvals and conditions
- Track AI incidents and near misses
- Report AI risk posture to the CRO and risk committee
Where the role sits
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Reports to
GRC processes
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Owns
accountable for the process
Touches
contributes or approves
Depends on
consumes its output
How SmartSuite helps, suite by suite
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Suites that serve this role
Products this role uses most
How SmartSuite supports this role
AI governance. Scores AI use cases against the risk taxonomy and records required controls and monitoring by tier.
Risk management. Links AI risks to the enterprise register so they roll up with other risk.
Issues and actions. Tracks AI incidents, near misses and remediation to closure.
Reporting. Reports AI risk posture, high-risk systems and open actions to the risk committee.
Industry reference
The NIST AI RMF's Map, Measure and Manage functions and ISO/IEC 23894:2023 describe AI risk assessment: identifying harms such as bias, safety, security and drift and setting controls by tier. The EU AI Act defines the tiers in law, with prohibited, high-risk and limited-risk categories and obligations phased in from 2025.
In financial services AI risk sits inside model risk management under SR 11-7 and the PRA's SS1/23; in insurance the NAIC model bulletin and Colorado's AI law govern consumer-facing decisions; in healthcare FDA guidance and HHS rules on decision-support tools apply; US federal agencies manage rights- and safety-impacting AI under OMB guidance.
In their words
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