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AI & Data Science

Key Principles of AI Governance

AI Governance encompasses the structures, policies, and technologies that ensure artificial intelligence systems are developed and deployed responsibly. It integrates key dimensions such as Organization Roles and Responsibilities to establish accountability, Operating Model for trustworthy decision-making, and Risk & Compliance to manage ethical and legal risks. Supporting elements include Policies, Procedures & Standards for fairness, Model Governance for transparency, and Tools & Technologies to enable explainability. Continuous Monitoring ensures adherence to principles across the AI lifecycle, collectively fostering systems that are accountable, trustworthy, responsible, ethical, fair, explainable, and transparent.

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