AI Governance Framework
AI without governance creates risk. This framework keeps AI use safe and accountable.
AI Governance Framework
AI Governance Framework addresses ai is used without oversight, creating risks of error, bias, privacy violation, or unsupported claims that can damage the business. The workflow combines process, automation, and human review to resolve it.
AI without governance creates risk. This framework keeps AI use safe and accountable.
Problem definition
AI is used without oversight, creating risks of error, bias, privacy violation, or unsupported claims that can damage the business.
Observable symptoms
- ✓The problem recurs despite effort
- ✓No systematic approach to resolution
- ✓Manual workarounds that do not scale
- ✓Unclear ownership or accountability
Likely causes
- ✓No defined process for the problem
- ✓Manual handling that varies by person
- ✓No automation to enforce consistency
- ✓No review or measurement of outcomes
Required inputs
- ✓A defined process for the workflow
- ✓A system to track and enforce it
- ✓Clear ownership
- ✓Measurement of outcomes
Recommended workflow
Follow this sequence to address the problem systematically.
- ✓Define where AI is and is not used
- ✓Set review requirements for AI outputs
- ✓Establish data privacy and security boundaries
- ✓Document AI use for transparency
- ✓Assign accountability for AI decisions
- ✓Review and update the framework as AI evolves
Automation boundaries
Automation can log AI use and flag outputs for review. The governance decisions, review, and accountability require human input.
Human review requirements
A person reviews AI outputs where they affect customers, compliance, or revenue, and is accountable for AI use.
Risks
Over-governing AI prevents useful adoption; under-governing creates risk. Balance oversight with practical use.
Limitations
No workflow is perfect. Continuous review and refinement based on outcomes is essential to keep it effective.
Measurement criteria
Track the occurrence of the problem before and after, the time to resolution, and the outcomes of the workflow.
Frequently Asked Questions
What AI use requires review?
Any use that affects customers, compliance, revenue, or makes claims. Internal, low-risk use may need less review.
Who is accountable for AI?
A person, always. AI does not have accountability. The business must assign a human owner for every AI use that matters.
Should we disclose AI use?
Where it affects customers or makes claims, transparency is appropriate and sometimes required. Document internal use for accountability.
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