Overview: Introduction to AI Governance

Overview: Introduction to AI Governance

As we enter an era heavily influenced by generative AI technologies, the governance of artificial intelligence (AI) becomes an increasingly vital priority for businesses that want to enable the safe use of data and AI while meeting legal and ethical requirements. Globally, policymakers are perking up, paying attention, and taking action. In October 2023, the “safe, secure, and trustworthy” use of artificial intelligence warranted an executive order from the Biden-Harris administration in the US, an issuance that followed closely on the heels of the EU’s AI Act, the world’s first comprehensive AI law on the books. Other countries, like China, the UK, and Canada—and even a number of US states—have drawn their own lines in the sand, either proposing or enacting legislation that highlights the importance of safety, security, and transparency in AI. Recently, we have seen that regulatory authorities and courts are actively taking enforcement actions against AI systems; therefore, AI governance is becoming important for organizations.

AI governance is the way to this early adoption mindset—and is essential for enterprise leaders who are integrating AI services into their businesses. It addresses the challenge of managing compliance, safety, and security for the entire AI lifecycle—from creation to deployment. Effective AI governance provides control and oversight, ensuring that businesses develop and manage their AI services responsibly, ethically, and in compliance with both internal policies and external regulations in a documented, efficient, and demonstrable manner. This is crucial for businesses to navigate the complex landscape of AI technology while maintaining trust and accountability.