To manage this incoming technology, the trust, risk, and security measures for AI must be defined, implemented, and managed. This means making AI management a regular topic in the monthly IT report that goes to the board, and also periodically briefing the board on AI. Develop an AI life cycle methodologyTo date, most companies have focused on building or purchasing AI systems and getting them implemented. Accordingly, an AI system life cycle should be defined, and IT is the one to do it. As part of this life cycle methodology, AI systems in production should be regularly monitored for accuracy against pre-established metrics.