As organizations move from experimenting with artificial intelligence to incorporating it into everyday operations, many are discovering that governing AI can be more challenging than deploying it. Through the development of DirectTrust’s Artificial Intelligence Accreditation Program and work with those participating in its beta phase, several practical lessons have emerged about what responsible AI adoption really requires.
Among them: governance shouldn’t wait until AI is fully deployed. Some organizations initially questioned whether they were ready for an AI governance program because they hadn’t yet fully implemented AI. As beta phase participants advanced through the AI Accreditation Program, they discovered that the governance framework itself helped identify the policies, controls, risks, and accountability structures they would eventually need. Organizations are also discovering that they may already have more AI in use than they realize, as “shadow AI” makes its way into everyday work through standalone tools and AI capabilities embedded in familiar productivity platforms.
In a recent article for Healthcare IT Today, DirectTrust Senior Director of Accreditation Strategy and Development Lesley Berkeyheiser explores these and four additional lessons organizations are learning about AI governance.
