6 Guidelines for Governing AI
IEEE Spectrum 1 week ago 45 ● 4 sources
The article argues that enterprise work with AI is shifting from building AI systems to governing them via intent, principles, and boundaries that control autonomous decisions, escalations, and prohibited actions. It cites an MIT Media Lab Project NANDA 2025 report estimating only about 5 percent of integrated generative-AI pilots generate substantial value despite US$30 billion to US$40 billion in investment. As a result, teams must adopt governance practices like principles libraries, machine-readable policies, context-first system design, and human “trust thermostat” thresholds tied to confidence scores.
