Computer Says Maybe

The Collective Fight for Our Humanity - REAL Resistance

Computer Says Maybe

Show Notes

Anna Bacciarelli and Shazeda Ahmed know more than anyone that there are only a handful of tech companies asserting dominance around the world by talking in high-level abstractions about what the future looks like. At REAL ML, they want to change that. More like this: REAL Resistance: Who's Behind Big Brother?

This is REAL Resistance, a collection of conversations produced in collaboration with Real ML, featuring the experts and advocates who make up Real ML’s global network. In this final conversation, Real ML executive director Anna Bacciarelli and researcher Shazeda Ahmed discuss what it takes to knit together a global community that is working to resist the material harms of big tech: the powers that be want to keep any discussion about the future of AI as vague as possible — which is why the experts that attend Real ML workshops take the time to get specific about the issues. Further reading & resources: More about Real ML Field-building and the epistemic culture of AI safety by Shazeda Ahmed et al A 2024 profile on Frantz Fanon — The Guardian Computer-vision research powers surveillance technology, by Abeba Birhane, Ria Kalluri, et al — Nature Magazine June 2025 **Subscribe to our newsletter to get more stuff than just a podcast — we run events and do other work that you will definitely be interested in!** Computer Says Maybe is produced by Georgia Iacovou, Kushal Dev, Marion Wellington, Sarah Myles, Van Newman, and Zoe Trout

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Oct 2, 2026

When a tech executive says AI will be doing your job next year, it sounds like a forecast. Dr. Carissa Véliz argues it's something else: a command, delivered in advance, that works only if enough of us obey it. If you believe the prediction, you buy the product, reorganize your company, and bet the economy on it, and the prediction comes true because you made it so. So who gets to make predictions that stick? And what would it take to stop treating them as news and start hearing them as orders? More like this: AGI is Scientifically Impossible w/ Adam Becker In this episode, Alix Dunn talks with Carissa Véliz, associate professor at Oxford's Institute for Ethics in AI and author of Prophecy: Prediction, Power, and the Fight for the Future, From Ancient Oracles to AI. Carissa explains why a prediction is a command disguised as a description, how powerful people use algorithms to fulfill their own forecasts, and why the alternative just might be being relying on preparation over prediction. Further reading & resources: Prophecy: Prediction, Power, and the Fight for the Future, From Ancient Oracles to AI — Carissa Véliz Beware the Power of Prediction — Carissa Véliz, TED Talk The Origins of Totalitarianism — Hannah Arendt The Dangerous Ideas of “Longtermism” and “Existential Risk” — Émile P. Torres, Current Affairs

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Almost everyone studying kids’ safety online agrees that a blanket social media ban won't work. And nearly every government moving on the issue is passing one anyway. This week, a researcher and a policy lawyer dig into why - and what could actually work instead. More like this: When Kids Can’t Consent: The Case Against Tech in the Classroom w/ Andrew Liddell

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