Ethical AI

I’ll admit: I approached *Ethical AI* with skepticism. Too many books in this space either drown you in code or serve up platitudes about ‘human-centered design’ without the receipts. But Knowings’ work is different—it’s *angry* in the right ways, and that energy makes it electric. Take Chapter 3’s dissection of facial recognition bias: instead of just citing studies, they walk you through how a seemingly ‘objective’ dataset gets warped by historical inequities, then *show* you how to audit for those flaws. It’s the audiobook equivalent of someone grabbing your shoulders and saying, *“Look closer. No, *closer.*”* Tom Brooks’ narration sells this urgency without veering into melodrama. His voice has a dry, almost sarcastic edge when tackling industry buzzwords (“*Oh, you built an ‘ethical’ chatbot? Let’s talk about your training data.*”), which keeps the listen engaging. My only critique? The production occasionally stumbles with pacing in the denser sections (e.g., the 20-minute deep dive on differential privacy could’ve used more vocal signposting). And while I appreciate the brevity, I wanted *more*—specifically, a sharper takedown of Silicon Valley’s ‘move fast and ethic later’ culture. Still, this is the audiobook I’ll be recommending to friends who roll their eyes at AI think pieces but still want to *get* it. It’s not just informative; it’s a call to arms for anyone who’s ever suspected tech’s ‘neutrality’ is a fairy tale.