AI Governance, explained.
Understanding AI governance from three connected perspectives.
AI governance is complex and requires expertise across business, technology, and regulation. Building Trustworthy AI is therefore a shared responsibility that calls for close dialogue, a common understanding, and collaboration across these perspectives to align decisions, manage risks, and put responsible AI into practice.
AI Governance Explorer
Effective AI governance requires a holistic approach that connects business, technical, and regulatory perspectives. Together, these perspectives lay the foundation for Trustworthy AI.
Business
Organize, manage and create value with AI
Technical
Build, evaluate and operate trustworthy AI systems
Regulatory
Meet legal requirements and recognized standards
An educational overview of complementary AI governance topics. Applicability of legal requirements depends on the jurisdiction, sector, and AI system.
Explore what Trustworthy AI means for your organization.
Discover how SHER DeepAI can help you address AI governance challenges and put Trustworthy AI into practice.