The AI Management Series - AI Ethics, Governance, and Compliance: Drawing the Line Between Productivity and Surveillance
Reseña del libro "The AI Management Series - AI Ethics, Governance, and Compliance: Drawing the Line Between Productivity and Surveillance"
In 2020, IBM walked away from a working, profitable facial recognition business — not because a court ordered it to, but because the company's own CEO decided some uses of AI aren't worth having, no matter what they're worth. Four years later, Goldman Sachs spent sixteen months and a federal investigation explaining an algorithm nobody at the company could actually explain. A law firm got sanctioned for filing a legal brief full of court cases ChatGPT had simply made up. Wells Fargo fired more than a dozen employees flagged by software that had never been shown to work. And a Fortune 500 retailer is still, as of this writing, fighting lawsuits over AI pricing tools it built but never fully disclosed to the customers standing in front of them. None of these companies set out to get AI wrong. They got the line wrong — the line between AI that creates value people choose to participate in, and AI that operates on people by default. AI Ethics, Governance, and Compliance is the book that shows you exactly where that line sits, and how to build the structure that keeps your company on the right side of it, permanently, no matter which state, country, or regulator writes the next law. This is not a legal textbook, and it doesn't ask you to become a lawyer, a technologist, or a compliance officer. It's a field manual for the AI Manager: the executive responsible for making sure their company's AI investment survives contact with real regulators, real litigation, real employees, and real customers — written the way The Innovator's Dilemma is written, with named companies, real consequences, and frameworks you can put to use the same week you read it. Inside, you'll learn: Why chasing every new AI law is a losing game — and the voluntary internal benchmark that lets you stop guessing which regulation will still be true next year What actually protects your company when a key AI employee walks out the door (a real criminal case involving a Google engineer and stolen chip designs shows exactly what's at stake) Why an AI decision nobody can explain is a liability regardless of whether it's right — and what Apple Card's viral gender-bias scandal actually teaches about the cost of silence How CNET and Google both learned, in public, that fluent AI output is not the same as correct AI output — and the one habit that would have caught both mistakes before publication Why "the algorithm did it" has never once worked as a legal defense, from a sanctioned New York law firm to a shut-down city government chatbot How IKEA turned 8,500 customer-service jobs into a $1.37 billion revenue channel by retraining instead of replacing — and what a harder, more honest case study reveals about the limits of that promise Where the surveillance line has to be drawn a second time — this time protecting your own employees, not just your customers How to build an AI Governance Board with real authority to say no, before an $700 million settlement forces the issue the way it did for one major consumer data company Why building the right architecture beats chasing the right law — and how to future-proof your company against legislation that doesn't exist yet Every case in this book is real, named, and sourced — or clearly labeled as illustrative where it isn't. Every framework is built to be used in your next executive meeting, not filed away after you finish the chapter. AI Ethics, Governance, and Compliance is Book 3 in The AI Management Series, which began with The AI Manager: Where Transformation Begins and Architecture & Integration. Read together, the series takes you from building your company's first AI team, through the technical foundation that makes AI safe to scale, to the governance floor that keeps all of it defensible — before AI reshapes how your organization itself has to operate.
