AI & Technology Risk Framework™
Govern the risks arising from technology and AI adoption across the enterprise.
AI and technology risk spans model, data, ethical, operational and concentration risks from technology and AI adoption. This framework governs them with model-risk management and human oversight.
Rapid AI and technology adoption introduces model, data and ethical risks faster than governance can keep up, creating exposure and concentration.
Govern the risks arising from technology and AI adoption across the enterprise.
- CIOs/CDOs
- CROs
- CISOs
- Boards
- AI/tech governance
- Model risk management
- Data governance & quality
- Ethics & bias control
- Operational & concentration risk
- Monitoring & assurance
- CIO/CDO own; a second-line model-risk function oversees; the board approves the AI governance policy.
Fragile
Maturity level 1 of the shared Outliers risk spine — Fragile.
Functional
Maturity level 2 of the shared Outliers risk spine — Functional.
Disciplined
Maturity level 3 of the shared Outliers risk spine — Disciplined.
Strategic
Maturity level 4 of the shared Outliers risk spine — Strategic.
Resilient
Maturity level 5 of the shared Outliers risk spine — Resilient.
- Establish AI/tech governance
- Inventory models and data
- Validate and monitor models
- Embed ethics and human-in-the-loop control
- Assure and report
- AI governance policy
- Model inventory & validation pack
- AI risk register
- AI governance policy
- Model risk management framework
- Data governance policy
- Model inventory coverage
- Models overdue for validation
- Data-quality incidents
- AI ethics issues raised
- What AI and models are in use, and who owns the risk?
- How do we control model, data and bias risk?
- Where are we concentrated on a single technology or provider?
- Is there human oversight of consequential decisions?
Related across the Risk Centre
Across the ecosystem
Knowledge graph · 3 relations