What if we stopped treating AI like a mystical force and started seeing it for what it really is—a reflection of our own choices, flaws, and priorities? Eleanor Drage’s work forces us to confront this uncomfortable truth: the so-called 'intelligence' we’re chasing isn’t some alien phenomenon. It’s built by people, for people, and it’s deeply entangled with the same systems of exploitation that have defined human history. The more I think about it, the more I’m convinced that the AI debate isn’t just about algorithms or data—it’s about power. Who gets to decide what AI does, who profits from it, and who bears the cost? These aren’t abstract questions. They’re the raw nerve endings of our current social contract.
Let’s start with the labor behind the magic. Drage points out that every AI model is a product of human toil, from data labelers in Kenya to engineers in Silicon Valley. But here’s what really bugs me: we’ve normalized this invisible workforce as just another cog in the machine. It’s not just about wages or working conditions—it’s about how we define value. Why is a data labeler’s labor worth less than an artist’s? Why do we assume AI will replace creative jobs while ignoring the fact that it’s also creating new forms of drudgery? This isn’t just a technical issue; it’s a philosophical one. If we can’t even agree on what constitutes meaningful work, how can we build systems that elevate humanity instead of eroding it?
Then there’s the myth of the AI apocalypse. The narrative that AI will either save us or destroy us is a masterstroke of distraction. It’s a way for tech giants to avoid accountability by framing their experiments as existential risks rather than ethical failures. But here’s the kicker: the real crises we face—climate change, inequality, geopolitical instability—aren’t hypothetical. They’re happening now. And yet, the media keeps hyping up dystopian scenarios as if they’re the most urgent threats. What does this say about our collective priorities? It suggests we’re more comfortable fearing a future we can’t control than addressing the present we can. Drage argues that focusing on AI safety is a red herring. I’d go further: it’s a psychological crutch. We’re terrified of what we don’t understand, but we’re far more complacent about the systems we’ve already accepted.
The ethical frameworks Drage proposes are intriguing, but they’re not without cracks. She champions community-driven AI projects like apps targeting female genital mutilation or smoking cessation. Yet I can’t help but wonder: what’s the point of deploying AI in these contexts when the very systems that enable such technologies are built on environmental destruction and exploitative labor practices? It’s like trying to heal a wound with a scalpel made from the same materials that caused the injury. Her toolkit for ethical AI compliance is framed as a 'cornerstone of utopianism,' but utopia is a messy, evolving concept. If we’re going to redefine the future, we need more than checklists—we need radical rethinking of what progress even means.
And here’s the thing that really grinds my gears: Drage’s critique of big tech is spot-on, but she misses the elephant in the room. Yes, AI perpetuates bias and prioritizes profit, but it also has the potential to revolutionize fields like medicine. She doesn’t mention drug discovery or disease detection, which are areas where AI could genuinely save lives. Is it naive to hope for that? Or is it simply another form of optimism that the current tech oligarchy would never allow? The irony is that the same systems she condemns might be the only ones capable of unlocking these breakthroughs. This contradiction raises a deeper question: can we ever trust the people who built these tools to use them responsibly, or are we doomed to repeat the mistakes of the past?
In the end, Drage’s book is less about answers and more about provocation. She challenges us to see AI not as a binary choice between salvation and destruction, but as a mirror reflecting our own values. But what if we got AI right? What if we built systems that prioritized equity, sustainability, and human dignity over profit? The problem isn’t the technology itself—it’s the ecosystem around it. Until we confront the root causes of our current crises, we’ll keep using AI as a scapegoat for our failures. The real utopia isn’t in the code. It’s in the choices we make every day, in the labor we value, the risks we’re willing to take, and the futures we’re brave enough to imagine.
