3.5
This was a good and informative book on the importance of resisting the proliferation of AI systems because of how they reinforce a lot of the societal issues that have already been exacerbating over the past few decades. They've also been increasingly weaponized to prop up authoritarian states and control their citizens. I found the first half of the book to be compelling, although I was already quite familiar with a lot of the issues of AI in terms of how it magnifies biases present online and therefore contributes to building up an environment more misogynist, homophobic, and racist. The latter section of the book goes into how McQuillan thinks we should combat AI and that is by creating more workers and people's councils that can challenge the supremacy of AI just as it's had a history of challenging multinational corporations and governments in the past. At one point, he even says we need to"occupy AI," directly referencing the Occupy Movement in the early 2010s.
I was hesitant getting into this book because I have a bit of a knee-jerk skepticism whenever "anti-fascism" is used to justify action. Fascism as a concept seems to me to have become such a ubiquitous catch-all term that it resembles its historical use by the left throughout the 20th century to describe any system or form of political organization they disliked, just like "Commie" and "Tankie" were used by opposing parties the other way around. But I tried being open-minded here and I think that what McQuillan is referring to by fascism here is in the negative sense of a loss of true democracy and democratic values.
Overall, however, I didn't find his solution to the rise of AI to be that realizable or feasible. It's a completely different situation for workers to rally together through shared common ground to protest against the forces that disrupt their unity and sense of human dignity, than for us to somehow replicate that on a global scale with regards to AI, especially since its production and development is getting more and more decentralized (in China, for example). The book was clearly written before the rise of Large Language Models and just how much they have revolutionized how we interact with information around us. It doesn't seem like something we can just decide to all protest against in unity with other people globally. I have a feeling that McQuillan didn't expect just how much technology would accelerate over the past three years to the point that makes his suggestions here even harder to put into action. Still, this is an interesting book that is worth reading to better understanding the many flaws of AI systems that have caused consternation amongst experts in the field over the past decade or so. It just feels a bit outdated to read today since it doesn't engage with the field's latest paradigm-shifting developments such as LLMs and image and video creation. Maybe he can write a follow up that gets into those more and expand this book. We definitely need it.