Hi Everyone,

First of all, thank you to all the people who attended our last paper session! We had a lively discussion about diversity in tech industries and the role language might play in attracting more women and marginalised persons to the field.

We’re also extremely grateful for the thousands of viewers who’ve been watching and engaging with the videos since they’ve been posted on YouTube. If you missed the last one and want to catch up, feel free to watch it here:

It would also mean the world to us if you subscribed to the GCAS YouTube Channel here.

When is the book session?

Our Q2 2026 Book Session for “Feminist AI: Critical Perspectives on Algorithms, Data, and Intelligent Machines” will on Tuesday, June 30th, 2026 @ 5 PM Madrid Time.

Note that we moved it an hour forward to better accommodate attendees in earlier time zones, like the Pacific Northwest.

How do I sign up?

If you’re on our auto-sign-up list, you have already been registered for this event. Check your email for details. If you don’t see a Zoom confirmation, let me know!

If you’re not on our auto-sign up list but you plan to attend, you can register here!

The Book

The winner is “Feminist AI: Critical Perspectives on Algorithms, Data, and Intelligent Machines” by Jude Browne, Stephen Cave, Eleanor Drage, and Kerry McInerney.

Our paper session in May was on Chapter 1, which is the first essay in the book on feminist perspectives.

What is the book about?

The book argues that artificial intelligence is not a neutral technology, and that it reproduces (and amplifies) existing biases in society. While the book uses the lens of feminist studies to critique AI systems, the biases discussed extend well beyond gender discrimination. The authors discuss data ethics, algorithmic bias, digital ageism, and increased AI surveillance.

;TLDR?

The book is a collection of essays and papers that you can read independently instead of reading the whole thing. And even better, all of them are accessible for FREE via Oxford. We recommend taking a look at one or two specific papers that interest you.

Next Steps

Our panel members are reading the book and preparing our notes. As a reminder, you do not need to read the book; our panelists do.

We then lead the discussions based on the main topics that come up during our reading and the issues we find. However, the more you know about the topic and the book, the better opportunities we have for engaging conversations.

If you’re better with LinkedIn than emails, you can also join our group here.

That’s all for now. I’ll follow up with reminders. 👋🏽

— Tessina