AI Governance

    Frameworks for governing AI deployment including risk management, compliance, ethics, and accountability.

    Overview

    AI governance encompasses the policies, frameworks, and processes that ensure AI systems are deployed responsibly, ethically, and in compliance with regulatory requirements. For professional services firms, AI governance is not optional — it is a professional obligation.

    Governance Framework Components

    • AI risk assessment and classification
    • Ethical AI principles and policies
    • Model monitoring and performance tracking
    • Bias detection and mitigation
    • Regulatory compliance mapping
    • Incident response and escalation procedures
    • Audit and accountability mechanisms

    Related Topics

    Frequently Asked Questions

    Do firms need AI governance?

    Yes. Professional services firms have existing regulatory obligations that extend to AI use. A governance framework ensures compliance, manages risk, and builds client trust.

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