Mackenzie Jorgensen

According to our database, Mackenzie Jorgensen authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts.

Silvia Rossi, Diletta Huyskes, Mackenzie Jorgensen

CoRR, March, 2026

2025

Documenting Deployment with Fabric: A Repository of Real-World AI Governance.

Mackenzie Jorgensen, Kendall Brogle, Katherine M. Collins, Lujain Ibrahim, Arina Shah, Petra Ivanovic, Noah Broestl, Gabriel Piles, Paul Dongha, Hatim Abdulhussein, Adrian Weller, Jillian Powers, Umang Bhatt

CoRR, August, 2025

Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI.

Holli Sargeant, Mackenzie Jorgensen, Arina Shah, Adrian Weller, Umang Bhatt

CoRR, August, 2025

Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool.

Floris Holstege, Mackenzie Jorgensen, Kirtan Padh, Jurriaan Parie, Joel Persson, Krsto Prorokovic, Lukas Snoek

CoRR, February, 2025

2024

Bridging Research and Practice Through Conversation: Reflecting on Our Experience.

Mayra Russo, Mackenzie Jorgensen, Kristen M. Scott, Wendy Xu, Di H. Nguyen, Jessie Finocchiaro, Matthew Olckers

Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, 2024

2023

Investigating the Legality of Bias Mitigation Methods in the United Kingdom.

Mackenzie Jorgensen, Madeleine Waller, Oana Cocarascu, Natalia Criado, Odinaldo Rodrigues, Jose Such, Elizabeth Black

IEEE Technol. Soc. Mag., December, 2023

Not So Fair: The Impact of Presumably Fair Machine Learning Models.

Mackenzie Jorgensen, Hannah Richert, Elizabeth Black, Natalia Criado, Jose M. Such

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Supposedly Fair Classification Systems and Their Impacts.

Mackenzie Jorgensen, Elizabeth Black, Natalia Criado, Jose M. Such

Proceedings of the 2nd Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies, 2022

2020

Multi-Class Detection of Abusive Language Using Automated Machine Learning.

Mackenzie Jorgensen, Minho Choi, Marco Niemann, Jens Brunk, Jörg Becker

Proceedings of the Entwicklungen, 2020

2019

When Does Communication Learning Need Hierarchical Multi-Agent Deep Reinforcement Learning.

Marie Ossenkopf, Mackenzie Jorgensen, Kurt Geihs

Cybern. Syst., 2019

Hierarchical multi-agent deep reinforcement learning to develop long-term coordination.

Marie Ossenkopf, Mackenzie Jorgensen, Kurt Geihs

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019