Research output per year
Research output per year
Personal profile
Education/Academic qualification
Computer Science and Philosophy, Bachelor of Science, Villanova University
24 Aug 2016 → 16 May 2020
Award Date: 16 May 2020
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Dive into the research topics where MacKenzie Jorgensen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Not So Fair: The Impact of Presumably Fair Machine Learning Models
Jorgensen, M., Richert, H., Black, E., Criado, N. & Such, J., Aug 2023, Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society. Montreal, Canada: ACMResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile92 Downloads (Pure) -
Supposedly Fair Classification Systems and Their Impacts
Jorgensen, M., Black, E., Criado, N. & Such, J., 2022, (Accepted/In press) Proceedings of AIofAI: 2nd Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies. CEUR-WSResearch output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Multi-Class Detection of Abusive Language Using Automated Machine Learning
Jorgensen, M., Choi, M., Niemann, M., Brunk, J., Becker, J., Gronau, N. (ed.), Heine, M. (ed.), Krasnova, H. (ed.) & Poustcchi, K. (ed.), Mar 2020, Entwicklungen, Chancen und Herausforderungen der Digitalisierung: Proceedings der 15. Internationalen Tagung Wirtschaftsinformatik, WI 2020, Potsdam, Germany, March 9-11, 2020. Zentrale Tracks. Potsdam, Germany: GITO mbh Verlag, p. 1763-1775 12 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Open Access -
Abusive Language Detection Using Auto-Machine Learning for Multiple Languages
Jorgensen, M., Choi, M. & Niemann, M., Sept 2019, Veritas: Villanova Research Journal. Villanova University, Vol. 1. p. 3-4Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Open Access -
Hierarchical Multi-Agent Deep Reinforcement Learning to Develop Long-Term Coordination
Ossenkopf, M., Jorgensen, M. & Geihs, K., 2019, SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. ACM, p. 922–929Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
1 Citation (Scopus)