Bridging Systems: Open Problems for Countering Destructive Divisiveness across Ranking, Recommenders, and Governance A Ovadya, L Thorburn arXiv preprint arXiv:2301.09976, 2023 | 12 | 2023 |
How Platform Recommenders Work L Thorburn, P Bengani, J Stray Understanding Recommenders, 2022 | 11 | 2022 |
What’s Right and What’s Wrong with Optimizing for Engagement P Bengani, J Stray, L Thorburn Understanding Recommenders, 2022 | 10 | 2022 |
What Will “Amplification” Mean in Court L Thorburn, J Stray, P Bengani Tech Policy Press, 2022 | 9 | 2022 |
Tools to Ease the Choice and Design of Protein Crystallisation Experiments N Rosa, M Ristic, L Thorburn, GJ Abrahams, B Marshall, CJ Watkins, ... Crystals 10 (2), 95, 2020 | 7 | 2020 |
Optimizing language models for argumentative reasoning L Thorburn, A Kruger Proceedings of the 1st Workshop on Argumentation & Machine Learning co …, 2022 | 6 | 2022 |
What Does it Mean to Give Someone What they Want? the Nature of Preferences in Recommender Systems L Thorburn, P Bengani, J Stray Understanding Recommenders, 2022 | 5 | 2022 |
The Impact of Evidence on Decision Making A Kruger, T van Gelder, L Thorburn Centre of Excellence for Biosecurity Risk Analysis, 2021 | 4* | 2021 |
Analytic Rigour in Intelligence A Barnett, T Primoratz, R de Rozario, M Saletta, L Thorburn, T van Gelder Hunt Lab for Intelligence Research, 2021 | 3 | 2021 |
Error in the Euclidean Preference Model L Thorburn, M Polukarov, C Ventre Proceedings of the 22nd International Conference on Autonomous Agents and …, 2023 | 1 | 2023 |
Information Loss in Euclidean Preference Models L Thorburn, M Polukarov, C Ventre arXiv preprint arXiv:2208.08160, 2022 | 1 | 2022 |
Using argument mapping to improve clarity and rigour in written intelligence products A Kruger, L Thorburn, T van Gelder Intelligence and National Security 37 (5), 607-626, 2022 | 1 | 2022 |
Online Handbook of Argumentation for AI: Volume 2 A Brannstrom, F Castagna, T Duchatelle, M Foulis, T Kampik, I Kuhlmann, ... arXiv preprint arXiv:2106.10832, 2021 | 1 | 2021 |
Enhancing human analysis of large corpora via argument mining and backlinks—a prototype L Thorburn Hunt Lab for Intelligence Research, 2021 | 1 | 2021 |
Don't slip into binary thinking about AI T Bristow, L Thorburn arXiv preprint arXiv:2312.14230, 2023 | | 2023 |
SHAPE: A Framework for Evaluating the Ethicality of Influence E Bezou-Vrakatseli, B Brückner, L Thorburn European Conference on Multi-Agent Systems, 167-185, 2023 | | 2023 |
What the Observatory cannot do L Thorburn | | 2022 |
The IC Rating Scale as a Measure of Analytic Rigor L Thorburn, T van Gelder, C Shahan Brugh, SM Kim, M Kolb, B Zulauf Available at SSRN 4519926, 2022 | | 2022 |
Towards Argument Embeddings L Thorburn Online Handbook of Argumentation for AI, 57, 2021 | | 2021 |
Comparison of RST and ODNI methods for evaluating quality of reasoning A Barnett, T Primoratz, L Thorburn, S Dennis, T van Gelder OSF, 2020 | | 2020 |