Resisting AI


This session will introduce the arguments set out in the book 'Resisting AI'. The objective is to reframe the operations of AI as social and political as well as technical, to highlight their potential for amplifying social harms, and to equip participants with alternative ways to assess the social purpose of their work.

Starting from the specific technical operations of deep learning and generative AI, the talk will explore AI's direct social impacts, its immersion in institutional and bureaucratic structures, and its resonance with key dynamics at a political, environmental and global level.

The talk will challenge the sense that AI represents a sudden acceleration into a sci-fi future, and will draw out the different ways in which abstract computational operations are entangled with the same messy histories and politics as everything else in society. As such, it is an opportunity for participants to acknowledge the more uncomfortable aspects of the AI industry.

The aim is to empower participants to call out solutionism, thoughtlessness or epistemic injustice and to steer their work away from instances of algorithmic violence or social and political exclusion. However, the talk will also set out proposals for positive futures in which complex computation is embedded in feminist and decolonial relationality and constitutes a technical practice for the common good.

Session Outline:

Participants will be equipped to

- recognise the social and political aspects of their practice and the links to potential forms of harm
- situate their work within a wider context of social, environmental and global relations
- conceive of ways to approach computation that are more mutual, sustainable and focused on the common good


After a Ph.D in Experimental Particle Physics, Dan worked with people learning disabilities & mental health issues, created websites with asylum seekers, ran social innovation camps in Georgia, Armenia & Kyrgyzstan, led a citizen science project in Kosova, and worked in digital roles in both Amnesty International and the NHS. He is now a Lecturer in Creative and Social Computing, and recently authored 'Resisting AI - An Anti-fascist Approach to Artificial Intelligence'

Open Data Science




Open Data Science
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Cambridge, MA 02142

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