The framework for managing AI development and deployment in accordance with ethical principles and regulatory requirements
AI Governance encompasses the structures, processes, and policies organizations implement to ensure their artificial intelligence systems operate responsibly, transparently, and in compliance with legal and ethical standards. Effective governance extends beyond technical considerations to address the societal implications of AI deployment, including issues of fairness, accountability, privacy, and security. A comprehensive governance framework typically includes mechanisms for risk assessment, model documentation, performance monitoring, and methods to detect and mitigate bias. As AI systems become more pervasive and autonomous, governance practices must evolve to balance innovation with appropriate safeguards, establishing clear lines of responsibility when systems make consequential decisions. Forward-thinking organizations recognize that strong governance isn’t merely about risk mitigation—it builds stakeholder trust and creates the foundation for sustainable AI adoption that aligns with organizational values and societal expectations.