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Responsible Leadership
In the Age of AI, the hardest leadership questions aren't about what technology can do. They're about what your organization should do — and who you intend to remain in the doing of it.


Planning in the Polycene: Why AI Changes Everything Beneath Your Strategy
Strategic planning practice over the past half century was built on an assumption so foundational we stopped noticing it: that the future is continuous enough with the present to chart a course forward. We now live in what Thomas Friedman calls the Polycene — an era shaped not by one disruptive force but by many converging at once. Of all those forces, AI is the most organizationally consequential, because it doesn't just change the environment around your organization. It ch

Russell E. Willis
Feb 263 min read


Beyond Compliance
There is a question I hear from executives more than almost any other when the conversation turns to AI governance: Are we compliant? It is a reasonable question. It is also, increasingly, the wrong one. Compliance is necessary. No serious leader dismisses regulatory requirements or the legal frameworks that govern AI deployment. But compliance has become a ceiling when it needs to be a floor. Organizations that treat regulatory adherence as the destination for AI governance

Russell E. Willis
Feb 237 min read


Why AI Accountability Is Structurally Broken
When an AI system denies your loan, flags you as a flight risk, or filters your résumé before a human ever sees it, the instinct is to ask: Who is responsible for this? The honest answer is everyone — and therefore no one. That is not a scandal. It is a structure. And until we understand the structure, we will keep responding to AI failures the wrong way. The Question That Never Gets Answered On January 15, 2021, the entire Dutch cabinet resigned after an investigation reveal

Russell E. Willis
Feb 238 min read


What Executives Misunderstand About AI Risk
Most executive conversations about AI risk start in the wrong place. They start with the model — its accuracy, its bias scores, its regulatory compliance status, its vendor validation documentation. They start with the technical question: Is the system performing within acceptable parameters? That question matters. But it is not the question that should be keeping executives up at night when it come to AI. The systems that have produced the most significant organizational and

Russell E. Willis
Feb 238 min read
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