AI Governance encompasses the policies, procedures, roles, and technologies that organizations implement to ensure artificial intelligence is used responsibly, ethically, securely, and in compliance with applicable regulations.
A comprehensive AI governance framework typically includes: acceptable use policies defining how employees can interact with AI tools, data classification rules specifying what information can be processed by AI systems, risk assessment processes for evaluating new AI tools and use cases, oversight committees responsible for AI-related decisions, monitoring and audit capabilities for tracking AI usage, incident response procedures for AI-related security events, and training programs to build AI literacy across the organization.
Effective AI governance balances enabling innovation and productivity gains from AI adoption with managing the associated risks including data privacy, security, bias, compliance, and intellectual property concerns.
