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Dr. Mackenzie Jorgensen

Research Fellow

School: Computer Science

Mackenzie Jorgensen

  • Please visit the Pure Research Information Portal for further information
  • Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool, Holstege, F., Jorgensen, M., Padh, K., Parie, J., Prorokovic, K., Persson, J., Snoek, L. 24 Feb 2026, IASEAI’26, International Association for Safe & Ethical AI
  • Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts, Rossi, S., Huyskes, D., Jorgensen, M. 15 Apr 2026, CHI 2026 Workshop: Ethics at the Front-End: Responsible User-Facing Design for AI Systems, ACM
  • PROBabLE Futures Submission in response to the Call for Evidence on ‘Human Rights and the Regulation of AI’, Jorgensen, M., Paul, A., Oswald, M. 5 Sep 2025
  • Bridging Research and Practice Through Conversation: Reflecting on Our Experience, Russo, M., Jorgensen, M., Scott, K., Xu, W., Nguyen, D., Finocchiaro, J., Olckers, M. 29 Oct 2024, EAAMO '24: Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, New York, NY, United States
  • ‘Frontier AI,’ Power, and the Public Interest: Who Benefits, Who Decides?, Leslie, D., Ashurst, C., González, N., Griffiths, F., Jayadeva, S., Jorgensen, M., Katell, M., Krishna, S., Kwiatkowski, D., Martins, C., Mahomed, S., Mougan, C., Pandit, S., Richey, M., Sakshaug, J., Vallor, S., Vilain, L. 9 Sep 2024, In: Harvard Data Science Review
  • Investigating the Legality of Bias Mitigation Methods in the United Kingdom, Jorgensen, M., Waller, M., Cocarascu, O., Criado, N., Rodrigues, O., Such, J., Black, E. 19 Jan 2024, In: IEEE Technology and Society Magazine
  • Not So Fair: The Impact of Presumably Fair Machine Learning Models, Jorgensen, M., Richert, H., Black, E., Criado, N., Such, J. 29 Aug 2023, AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, New York, NY, United States, ACM
  • Supposedly Fair Classification Systems and Their Impacts, Jorgensen, M., Black, E., Criado, N., Such, J. 24 Jul 2022, In: CEUR Workshop Proceedings
  • Multi-Class Detection of Abusive Language Using Automated Machine Learning, Jorgensen, M., Choi, M., Niemann, M., Brunk, J., Becker, J. 9 Mar 2020, WI2020 Zentrale Tracks, Potstdam, Germany, International Association for Safe & Ethical AI
  • Abusive Language Detection Using Auto-Machine Learning for Multiple Languages, Jorgensen, M., Choi, M., Niemann, M. 5 Sep 2019, In: Veritas: Villanova Research Journal

  • Computer Science PhD July 01 2025
  • Computer Studies BSc May 31 2020


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