Generative AI and automation are supercharging application management, but with great power comes a governance gap big enough to drive a data breach through. Although a majority of enterprise applications will have some embedded AI by 2026, very few of these enterprise IT executives will have clear ethical AI oversight of their AI-enabled applications. Senior IT execs must therefore build an AI ethics framework that governs deployment, use, and continuous monitoring across all apps.
AI Unchecked is AI Unknown
Unchecked, AI systems in application management can amplify bias in resource allocation, lock in flawed workflows, and create opaque decision-making that regulators loathe. Enterprises caught flat-footed by EU AI Act enforcement, SEC disclosure demands, or public outcry over unethical outcomes could face stock price hits and CEO resignations. Ethical AI integration isn’t on a five-year implementation horizon, IT execs must align their governance model …