Luke Thorburn




Luke is a PhD student in computer science at King’s College London interested in the intersection: algorithms ∩ conflict. His research currently focuses on how social media recommender systems can be designed to mitigate conflict risks, an idea sometimes called “bridging-based ranking”. He coauthors the Understanding Recommenders project of the Center for Human-Compatible AI at UC Berkeley, is a member of the GETTING-Plurality Research Network in the Allen Lab for Democracy Renovation at Harvard University, and a research affiliate of the Machine Intelligence and Normative Theory Lab at Australian National University. Previously, Luke has worked with or advised Ofcom, the newDemocracy Foundation, and Meta. His background is in probability and statistics.