Hierarchical multi-agent deep reinforcement learning to develop long-term coordination. - Marie Ossenkopf; Mackenzie Jorgensen; Kurt Geihs (SAC, 2019)

When Does Communication Learning Need Hierarchical Multi-Agent Deep Reinforcement Learning. - Marie Ossenkopf; Mackenzie Jorgensen; Kurt Geihs (Cybern. Syst., 2019)

Multi-Class Detection of Abusive Language Using Automated Machine Learning. - Mackenzie Jorgensen; Minho Choi; Marco Niemann; Jens Brunk; Jörg Becker 001 (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Supposedly Fair Classification Systems and Their Impacts. - Mackenzie Jorgensen; Elizabeth Black; Natalia Criado; Jose M. Such (AiOfAi@IJCAI, 2022)

Not So Fair: The Impact of Presumably Fair Machine Learning Models. - Mackenzie Jorgensen; Hannah Richert; Elizabeth Black; Natalia Criado; Jose M. Such (AIES, 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., 2023)

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 (EAAMO, 2024)

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, 2025)

Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI. - Holli Sargeant; Mackenzie Jorgensen; Arina Shah; Adrian Weller; Umang Bhatt (CoRR, 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; et al. (CoRR, 2025)