| Generative AI is already widespread in the public sector J Bright, FE Enock, S Esnaashari, J Francis, Y Hashem, D Morgan arXiv preprint arXiv:2401.01291, 2024 | 15 | 2024 |
| A multidomain relational framework to guide institutional AI research and adoption VJ Straub, D Morgan, Y Hashem, J Francis, S Esnaashari, J Bright Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 512-519, 2023 | 9 | 2023 |
| Mapping the individual, social and biospheric impacts of Foundation Models A Domínguez Hernández, S Krishna, AM Perini, M Katell, SJ Bennett, ... The 2024 ACM Conference on Fairness, Accountability, and Transparency, 776-796, 2024 | 8 | 2024 |
| Unsupervised feature extraction of aerial images for clustering and understanding hazardous road segments J Francis, J Bright, S Esnaashari, Y Hashem, D Morgan, VJ Straub Scientific Reports 13 (1), 10922, 2023 | 8 | 2023 |
| Key challenges for the participatory governance of AI in public administration J Wong, D Morgan, VJ Straub, Y Hashem, J Bright SocArXiv Papers: https://osf. io/preprints/socarxiv/pdcrm, 2022 | 7 | 2022 |
| AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions VJ Straub, Y Hashem, J Bright, S Bhagwanani, D Morgan, J Francis, ... arXiv preprint arXiv:2403.14712, 2024 | 4 | 2024 |
| One in four UK doctors are using Artificial Intelligence: Exploring doctors' perspectives on AI after the emergence of large language models Y Hashem, S Esnaashari, D Morgan, J Francis, A Poletaev, FE Enock, ... Available at SSRN 4997033, 2024 | 2 | 2024 |
| Generative AI is already widespread in the public sector: evidence from a survey of UK public sector professionals J Bright, F Enock, S Esnaashari, J Francis, Y Hashem, D Morgan Digital Government: Research and Practice, 2024 | 2 | 2024 |
| Approaches to the Algorithmic Allocation of Public Resources: A Cross-disciplinary Review S Esnaashari, J Bright, J Francis, Y Hashem, V Straub, D Morgan arXiv preprint arXiv:2310.06475, 2023 | 1 | 2023 |
| MIMDE: Exploring the Use of Synthetic vs Human Data for Evaluating Multi-Insight Multi-Document Extraction Tasks J Francis, S Esnaashari, A Poletaev, S Chakraborty, Y Hashem, J Bright arXiv preprint arXiv:2411.19689, 2024 | | 2024 |
| 'Team-in-the-loop'organisational oversight of high-stakes AI D Morgan, Y Hashem, VJ Straub, J Bright arXiv preprint arXiv:2303.14007, 2023 | | 2023 |
| Unsupervised feature extraction and clustering of aerial images for understanding hazardous road segments J Francis, J Bright, S Esnaashari, Y Hashem, D Morgan, VJ Straub | | 2023 |
| High-stakes team based public sector decision making and AI oversight D Morgan, Y Hashem, V Straub, J Bright OSF, 2022 | | 2022 |
Jonathan BrightHead of AI for Public Services and Online Safety, Alan Turing Institute. Research Associate, OIIBestätigte E-Mail-Adresse bei turing.ac.uk