Governance of Automated Decisions: Audit, Oversight and Control for AI Decision Models Training Course

Shifts in Dynamics When Decisions Become Model-Driven

• Transition from rules and human judgment to scored options
• Velocity and scale of automated actions
• Emerging failure modes and accountability gaps

Decision Inventory and Risk Classification

• Cataloging automated decisions
• Assessing impact, reversibility, and affected parties
• Defining risk tiers and corresponding control expectations
• Assigning ownership for each decision class

Accountability and Human Oversight

• Distinguishing between meaningful and nominal human review
• Treating autonomy thresholds as governance decisions
• Defining escalation routes and response times
• Identifying the accountable owner and sign-off authority

Decision Records and Explainability

• Components of a defensible decision record
• Retention of confidence levels, options, and context
• Traceability of models and versions
• Communicating decision rationale to customers or regulators

Policy and Boundary Control

• Managing approved option sets and change control
• Governing thresholds and conducting periodic reviews
• Defining prohibited decisions and hard stops
• Implementing policy as code alongside model output

Regulatory Expectations

• Obligations under the EU AI Act for decision systems
• Sector-specific rules in finance, insurance, and healthcare
• Data protection standards and rights regarding automated decisions
• Requirements for documentation and conformity evidence

Vendor, Licence, and Provenance Risk

• Comparing hosted decision APIs versus open weights
• Understanding licence terms for derivative and embedded models
• Managing supplier dependency and discontinuation risks
• Ensuring weight integrity and version pinning

Bias, Fairness, and Outcome Monitoring

• Analyzing outcome disparities across demographic groups
• Examining proxy variables and option framing
• Monitoring appeal and complaint signals
• Conducting periodic fairness reviews

Incident Response for Erroneous Decisions

• Identifying systematic decision errors
• Implementing containment measures and suspending autonomy
• Executing remediation and customer redress
• Performing root cause analysis and updating controls

Assurance Review of the Decision Layer

• Identifying evidence required by auditors
• Testing accuracy and calibration claims
• Sampling decisions and overrides
• Reporting findings to the board