The AI Ideal: AIdealism and the Governance of AI

"The AI Ideal: AIdealism and the Governance of AI looks at AI not through the lens of technology or risk alone, but through the ideas and ideologies shaping how it is governed. Its central argument is that debates about AI policy are often driven by what the author calls ‘AIdealism’—competing visions about what AI is and what it should be . Some see it as an engine of progress that should be accelerated; others as a dangerous force requiring strict control. These underlying beliefs, the book argues, quietly shape regulation, corporate strategy, and public discourse. Rather than proposing a single solution, the book maps out these different schools of thought and shows how they lead to very different approaches to governance—from light-touch innovation policies to precautionary regulation focused on safety, fairness, and accountability. A key insight is that AI governance is not just a technical or legal challenge, but a political and philosophical one. Questions about bias, transparency, and control ultimately reflect deeper disagreements about values: who gets to decide how AI systems behave, and in whose interests they operate. I included it because it fills an important gap. Many AI books focus on what the technology can do or what risks it poses; this one explains how societies are trying to respond, and why those responses often clash. It’s particularly useful for understanding the emerging global debate over AI regulation. Niklas Lidströmer is not a typical ‘AI policy’ author—he’s a medical doctor, researcher, and long-time practitioner of AI in healthcare, with experience working across multiple countries and advising on real-world AI systems. That background matters, because it means The AI Ideal: AIdealism and the Governance of AI is shaped less by abstract theorising and more by someone who has spent two decades thinking about how AI actually interacts with human systems—especially health, data, and ethics. What he brings, in essence, is a hybrid perspective. First, there’s a strong emphasis on ethics grounded in practice: because he has worked on sensitive areas like patient data and medical AI, he focuses heavily on questions of ownership, dignity, and trust—who controls data, who benefits, and how systems affect real lives. Second, he introduces what he calls ‘AIdealism,’ a kind of normative framework for AI governance, arguing that AI should actively strengthen democracy, fairness, and human flourishing rather than simply being regulated after the fact. Perhaps most distinctively, he takes a constructive rather than purely cautionary stance. Where many AI books emphasise risks, Lidströmer tries to outline a positive programme—a vision of how AI could be governed globally to promote equality, public good, and long-term human development, drawing on ideas from Enlightenment thought and social democracy. So the value he brings is this: he’s not just asking ‘what could go wrong?’ or ‘who has power?’ but what would it look like to design AI systems—and the institutions around them—so they actually make society better."