| Ai-Powered Public Surveillance Systems: Why We (Might) Need Them and How We Want Them AC Fontes, E Hohma, CC Corrigan, C Lütge | 66* | |
| Investigating Accountability for Artificial Intelligence through Risk Governance: A Workshop-based Exploratory Study E Hohma, A Boch, R Trauth, C Lütge Frontiers in Psychology 14, 86, 2023 | 28 | 2023 |
| SCAR—Spectral Clustering Accelerated and Robustified E Hohma, CMM Frey, A Beer, T Seidl | 7 | 2022 |
| Towards an Accountability Framework for AI: Ethical and Legal Considerations A Boch, E Hohma, R Trauth | 7 | 2022 |
| Connecting the Dots--Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering A Beer, A Draganov, E Hohma, P Jahn, CMM Frey, I Assent Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 6 | 2023 |
| From trustworthy principles to a trustworthy development process: The need and elements of trusted development of AI systems E Hohma, C Lütge AI 4 (4), 904-925, 2023 | 4 | 2023 |
| Assessing fairness in AI-enabled public health surveillance E Hohma IEAI Research Brief 10, 2021 | 2 | 2021 |
| Measuring adherence to AI ethics: a methodology for assessing adherence to ethical principles in the use case of AI-enabled credit scoring application M Pokholkova, A Boch, E Hohma, C Lütge AI and Ethics, 1-23, 2024 | 1 | 2024 |
| Individuality and fairness in public health surveillance technology: A survey of user perceptions in contact tracing apps E Hohma, R Burnell, CC Corrigan, C Luetge IEEE Transactions on Technology and Society 3 (4), 300-306, 2022 | 1 | 2022 |
| Towards an Accountability Framework for Artificial Intelligence Systems E Hohma, A Boch, R Trauth | 1 | 2022 |
| The use of AI to analyze process-based data in hospitals: Opportunities, limits and ethical considerations T Grimme, E Hohma | 1 | 2021 |
| On a Risk-Based Assessment Approach to AI Ethics Governance C Lütge, E Hohma, A Boch, F Poszler, C Corrigan | | 2022 |
