| Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives E Seger, N Dreksler, R Moulange, E Dardaman, J Schuett, K Wei, ... arXiv preprint arXiv:2311.09227, 2023 | 16 | 2023 |
| The near-term impact of AI on biological misuse S Rose, R Moulange, J Smith, C Nelson The Centre for Long-Term Resilience, London, UK., 2024 | | 2024 |
| Detecting Homologous Recombination Deficiency for Breast Cancer Through Integrative Analysis of Genomic Data R Zhu, K Eason, SF Chin, PAW Edwards, R Manzano Garcia, R Moulange, ... Available at SSRN 4904689, 2024 | | 2024 |
| Development and validation of a reliable DNA copy-number-based machine learning algorithm (CopyClust) for breast cancer integrative cluster classification CC Young, K Eason, R Manzano Garcia, R Moulange, S Mukherjee, ... Scientific Reports 14 (1), 11861, 2024 | | 2024 |
| Why we recommend risk assessments over evaluations for AI-enabled biological tools (BTs) J Smith, S Rose, R Moulange, C Nelson The Centre for Long-Term Resilience, London, UK., 2024 | | 2024 |
| How the UK Government should address the misuse risk from AI-enabled biological tools J Smith, S Rose, R Moulange, C Nelson The Centre for Long-Term Resilience, London, UK, 2024 | | 2024 |
| An Evidence-Based Approach To Identifying And Mitigating Biological Risks From AI-Enabled Biological Tools R Moulange, S Rose Federation of American Scientists, Washington D.C., U.S.A., 2023 | | 2023 |
| Towards Responsible Governance of Biological Design Tools R Moulange, M Langenkamp, T Alexanian, S Curtis, M Livingston Workshop on Regulatable Machine Learning at the 37th Conference on Neural …, 2023 | | 2023 |
| Governance of Artificial Intelligence (AI) inquiry – submission of evidence J Whittlestone, R Moulange Centre for Long-Term Resilience, London, UK, 2022 | | 2022 |
