Machine Readable Me: The Hidden Ways Tech Shapes Our Identities by Zara Rahman

Machine Readable Me is an exploration of the data collected about individuals and what this means for the lives of people globally. Part of 404 Ink’s Inklings series, it is a pocket-sized look into the world of digital data, identification, and biometrics that then goes on to question if we should accept being categorised in such rigid, unchangeable ways.

I’ve enjoyed other books in this series, but this one was particularly exciting for me because I tend to read quite a few ‘tech books’ looking at similar topics. By the end of Machine Readable Me I felt revitalised in my interest in our technological past, present, and future, because it was a fresh look into the tech world and had a global focus (many of the books are very US-centric). As it’s a short book, it can only cover so many examples, but there’s a lot of situations I’d not seen covered before in other books rather than using the same old talking points.

The power of categorisation feels central in the book, and Rahman builds on other tech writers’ work to question some of the societal reasons behind power and tech, rather than focusing just on the technology itself. I’ve heard people talking about the need to let data be messier and less machine focused, letting humans and their needs take centre stage, and it was good to see that argued here.

I think Machine Readable Me is a good introduction to the area of personal data and technology, borders and ID cards, that focuses on people not tech companies, politics and society rather than just capitalism. At the same time, for people who are already engaged in the area, I think the energy and examples bring fresh insight and something a bit different, all in an accessible size.