I know that this kind of actually critical perspective isn’t point of this article, but software always reflects the ideology of the power structure in which it was built. I actually covered something very similar in my most recent post, where I applied Philip Agre’s analysis of the so-called Internet Revolution to the AI hype, but you can find many similar analyses all over STS literature, or throughout just Agre’s work, which really ought to be required reading for anyone in software.

edit to add some recommendations: If you think of yourself as a tech person, and don’t necessarily get or enjoy the humanities (for lack of a better word), I recommend starting here, where Agre discusses his own “critical awakening.”

As an AI practitioner already well immersed in the literature, I had incorporated the field’s taste for technical formalization so thoroughly into my own cognitive style that I literally could not read the literatures of nontechnical fields at anything beyond a popular level. The problem was not exactly that I could not understand the vocabulary, but that I insisted on trying to read everything as a narration of the workings of a mechanism. By that time much philosophy and psychology had adopted intellectual styles similar to that of AI, and so it was possible to read much that was congenial – except that it reproduced the same technical schemata as the AI literature. I believe that this problem was not simply my own – that it is characteristic of AI in general (and, no doubt, other technical fields as well). T