Luke Thorburn

@lukethorburn.com

Algorithms ∩ Conflict • PhD candidate • King's College London • lukethorburn.com

What could it mean for an AI to be "politically neutral”? And can we measure it? New paper + dataset. We propose a definition that applies to any type of conflict on any topic: a neutral response should maximize approval on both sides of an issue, while keeping that approval balanced. 1/🧵

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🧵 We are likely to need better democratic systems to navigate the challenges posed by AI advances. Today we're releasing the Democratic Capabilities Gap Map to show what needs to happen to make better democracy a reality.

🚨New preprint and our results are rather concerning.. We find the "boiling frog" equivalent of AI use. Using large-scale RCTs, we provide *casual* evidence that AI assistance reduces persistence and hurts independent performance. And these effects emerge after just 10–15 minutes of AI use! 1/

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Game theory does not have a way to distinguish "conflict" from "competition." I think the difference is whether people are using destructive moves (e.g. murder) to win the game. Such moves are defections in the meta-game of peace and security.

AI presents a fundamental threat to our ability to use polls to assess public opinion. Bad actors who are able to infiltrate panels can flip close election polls for less than the cost of a Starbucks coffee. Models will also infer and confirm hypotheses in experiments. Current quality checks fail

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Macron remarks are notable- some quotes: "We have been incredibly naive in entrusting our democratic space to social networks that are controlled either by large American entrepreneurs or large Chinese companies, whose interests are not at all the survival or proper functioning of our democracies."

Defend Democracy@defenddemocracy.eurosky.social · 10mo ago

President Macron: “Europeans, let's wake up! We have been incredibly naive in entrusting our democratic space to social networks.” defenddemocracy.eu/macron-democ...

🚨 PhD Position at the University of Amsterdam 🚨 Join my team as a computer scientist / computational social scientist working on LLMs, social media, and politics. We offer freedom, impact, and an inspiring environment at one of Europe's leading universities. 🔗 werkenbij.uva.nl/en/vacancies...

Vacancy — PhD Position on Improving Social Media Using Large Language Models

The Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam is inviting applications for a fully funded PhD position in the NWO VIDI project "Improving Social Media Using L...

werkenbij.uva.nl

In the literature, there are two competing explanations for "echo chambers": 1️⃣ Algorithms curate what we see (“filter bubbles”) 2️⃣ People choose like-minded peers (“selective exposure”) Our new study suggests something surprising: both explanations might be wrong. 🧵 arxiv.org/abs/2508.10466

Online Homogeneity Can Emerge Without Filtering Algorithms or Homophily Preferences

Ideologically homogeneous online environments - often described as "echo chambers" or "filter bubbles" - are widely seen as drivers of polarization, radicalization, and misinformation. A central debat...

arxiv.org

Ever since I started thinking seriously about AI value alignment in 2016-7, I've been frustrated by the inadequacy of utility+RL theory to account for the richness of human values. Glad to be part of a larger team now moving beyond those thin theories towards thicker ones.

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🔔 Often our tech policy interventions operate from linear, top-down assumptions that don't account for the complexity they seek to govern. To dig into this I'm co-organizing a workshop at ACM CI 2025 with Jason Burton, Joe Bak-Coleman, + Naomi Shiffman. You should come! ci-x-tp.github.io

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🔔 (new paper!) You might have heard of the "Habermas Machine", an AI-human pipeline that is really good at finding common ground between ideologically diverse groups, at least in lab settings. But can this kind of approach help in real world conflicts?

A diagram of the process used in the paper that this thread announces. The effort consisted of four dialogue cycles with peacebuilders: three uninational dialogues cycles conducted respectively with
Israeli Jews, Palestinians from the West Bank and Gaza, and Palestinian citizens of Israel, followed by a final joint dialogue involving
all three groups. Each dialogue cycle involved a process to find common ground among participants followed by a deliberation on the
results of that process. The common ground process started with a collective dialogue, then bridging-based ranking was used to
identify common ground ’bridging statements’ that were distilled into articulate ’collective statements’ via LLM and reviewed by
human experts before being shared back with participants for a final vote.

Re-aligning SOCIAL MEDIA & AI: "Whom does it serve? That is the overarching issue as we confront "enshittification" & threats to democracy. Subject of 4 publications covered in this thread. 🧵 Most recent applies to PERSONAL AI AGENTS - "Have your AI call my AI" www.techpolicy.press/new-perspect...

New Perspectives on AI Agentiality and Democracy: "Whom Does It Serve?" | TechPolicy.Press

Richard Reisman and Richard Whitt write that interoperability will enable agential relationships that serve individuals and communities faithfully.

techpolicy.press

Today the European Commission proposed how Art.40 of the Digital Services Act (#DSA) could work in practice.In a worldwide first, this article in the DSA mandated very large platforms to grant researchers access to a wide range of previously undisclosed data.Some key points - now also on Bluesky :)👇