Technical Debt and AI: The Compounding Problem

Most organizations overestimate their AI readiness. They have data, but not the right data. They have technical talent, but not enough of it. They have executive sponsorship, but not sustained executive attention. The gap between readiness assessment and readiness...

Consent Fatigue and AI: Why Nobody Reads the Terms

The gap between ethical intention and ethical outcome is bridged by process, not aspiration. Organizations that have ethical AI principles but no ethical AI processes have principles in name only. Every AI deployment makes implicit ethical choices. The training data...