Shadow AI and Compliance: The Regulatory Nightmare

Shadow AI is a symptom, not a cause. It grows in the gap between what employees need and what the organization provides. Treating it as a compliance problem without addressing the underlying demand ensures it will persist regardless of the policies written against it....

Why AI Ethics Cannot Be Solved by Engineers Alone

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. The fundamental challenge of AI ethics is not knowing what is right. It...

Fiction, Strategy, and the Extended Corpus

Tessera’s primary corpus is my decision history. But I also ingested a secondary corpus that changes what she can do: my complete reading history. Legal textbooks, OEM manuals, technical standards, psychology, leadership theory, strategy, and fiction. Why the...

When Copilot Goes Rogue: Managing Embedded AI Assistants

Shadow AI represents the largest unmanaged risk surface in most organizations today. Unlike shadow IT, which involved unauthorized software installations that could be detected through endpoint management, shadow AI operates through web browsers and mobile apps that...

The Browser Tab Problem: AI Tools Nobody Tracks

Shadow AI is a symptom, not a cause. It grows in the gap between what employees need and what the organization provides. Treating it as a compliance problem without addressing the underlying demand ensures it will persist regardless of the policies written against it....

AI and the Commons: Public Resources for Public Good

AI ethics is not a constraint on innovation. It is a quality standard for innovation. An AI system that produces biased outcomes, violates privacy, or makes unexplainable decisions is not a good system that happens to be unethical. It is a bad system. Every AI...