Purpose

This framework establishes governance principles, controls, and oversight mechanisms for responsible Artificial Intelligence adoption.

Governance Objectives

  • Ethical AI Usage
  • Regulatory Compliance
  • Risk Management
  • Transparency
  • Accountability
  • Business Value Realization

Governance Structure

AI Steering Committee

Responsibilities:

  • Strategic Oversight
  • Policy Approval
  • Investment Decisions

AI Governance Board

Responsibilities:

  • Risk Management
  • Ethics Reviews
  • Compliance Monitoring

AI Product Owners

Responsibilities:

  • Business Outcomes
  • Operational Performance
  • Model Accountability

Governance Domains

Ethics

Evaluate:

  • Fairness
  • Bias Management
  • Transparency
  • Explainability

Risk Management

Evaluate:

  • Model Risks
  • Operational Risks
  • Security Risks
  • Regulatory Risks

Data Governance

Evaluate:

  • Data Quality
  • Data Privacy
  • Data Security
  • Data Ownership

Compliance

Evaluate:

  • Regulatory Requirements
  • Industry Standards
  • Audit Requirements

KPI Framework

  • AI Adoption Rate
  • Model Accuracy
  • Risk Incidents
  • Compliance Findings
  • Business Value Generated

Conclusion

Effective AI governance enables organizations to maximize AI value while maintaining trust, compliance, and accountability.