Module 625 minutes
Governance and Compliance
Implement AI governance frameworks. Ensure compliance, manage risks, maintain ethical standards.
governancecomplianceethicsrisk-management
Learning Objectives
- ✓Establish AI governance structure
- ✓Ensure regulatory compliance
- ✓Manage AI risks
- ✓Implement ethical frameworks
Govern AI Before It Governs You
Proactive governance prevents problems and enables trust.
AI Governance Framework
1. Governance Body
- AI ethics committee
- Cross-functional representation
- Clear mandate and authority
2. Policies and Standards
- AI acceptable use
- Development standards
- Deployment criteria
- Incident response
3. Review Processes
- Pre-deployment review
- Ongoing monitoring
- Periodic audits
- Incident investigations
Compliance Requirements
GDPR (EU):
- Data privacy rights
- Algorithmic transparency
- Right to explanation
CCPA (California):
- Consumer data rights
- Opt-out provisions
Industry-Specific:
- Healthcare (HIPAA)
- Finance (SOX, regulations)
- Government (FedRAMP)
Risk Management
Technical Risks:
- Model bias and fairness
- Security vulnerabilities
- Performance degradation
Business Risks:
- Reputational harm
- Legal liability
- Financial impact
Mitigation:
- Risk assessments
- Testing protocols
- Monitoring systems
- Insurance considerations
Ethical AI Principles
- Fairness and non-discrimination
- Transparency and explainability
- Privacy and security
- Accountability
- Human oversight
Key Takeaways
- →Establish governance committee before scaling AI
- →Know compliance requirements for your industry
- →Test for bias and fairness systematically
- →Document decisions and maintain audit trails
- →Plan for AI incidents before they happen
Practice Exercises
Apply what you've learned with these practical exercises:
- 1.Draft AI governance charter
- 2.Map compliance requirements
- 3.Create AI risk register
- 4.Design review process