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Mackenzie Jorgensen
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2020 – today
- 2025
- [i2]Floris Holstege, Mackenzie Jorgensen, Kirtan Padh, Jurriaan Parie, Joel Persson, Krsto Prorokovic, Lukas Snoek:
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool. CoRR abs/2502.01713 (2025) - 2024
- [c5]Mayra Russo
, Mackenzie Jorgensen
, Kristen M. Scott
, Wendy Xu
, Di H. Nguyen
, Jessie Finocchiaro
, Matthew Olckers
:
Bridging Research and Practice Through Conversation: Reflecting on Our Experience. EAAMO 2024: 7:1-7:11 - [i1]Mayra Russo, Mackenzie Jorgensen, Kristen M. Scott, Wendy Xu, Di H. Nguyen, Jessie Finocchiaro, Matthew Olckers:
Bridging Research and Practice Through Conversation: Reflecting on Our Experience. CoRR abs/2409.05880 (2024) - 2023
- [j2]Mackenzie Jorgensen
, Madeleine Waller
, Oana Cocarascu
, Natalia Criado
, Odinaldo Rodrigues
, Jose Such
, Elizabeth Black
:
Investigating the Legality of Bias Mitigation Methods in the United Kingdom. IEEE Technol. Soc. Mag. 42(4): 87-94 (2023) - [c4]Mackenzie Jorgensen
, Hannah Richert
, Elizabeth Black
, Natalia Criado
, Jose M. Such
:
Not So Fair: The Impact of Presumably Fair Machine Learning Models. AIES 2023: 297-311 - 2022
- [c3]Mackenzie Jorgensen, Elizabeth Black, Natalia Criado, Jose M. Such:
Supposedly Fair Classification Systems and Their Impacts. AiOfAi@IJCAI 2022: 1-12 - 2020
- [c2]Mackenzie Jorgensen
, Minho Choi, Marco Niemann, Jens Brunk, Jörg Becker:
Multi-Class Detection of Abusive Language Using Automated Machine Learning. Wirtschaftsinformatik (Zentrale Tracks) 2020: 1763-1775
2010 – 2019
- 2019
- [j1]Marie Ossenkopf, Mackenzie Jorgensen
, Kurt Geihs
:
When Does Communication Learning Need Hierarchical Multi-Agent Deep Reinforcement Learning. Cybern. Syst. 50(8): 672-692 (2019) - [c1]Marie Ossenkopf, Mackenzie Jorgensen
, Kurt Geihs
:
Hierarchical multi-agent deep reinforcement learning to develop long-term coordination. SAC 2019: 922-929
Coauthor Index

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last updated on 2025-03-11 20:03 CET by the dblp team
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