Lucius is a PhD Candidate at the NYU Center for Data Science advised by Julia Stoyanovich as part of the Center for Responsible AI and working closely with Joshua Loftus at the London School of Economics. His research focuses on the intersection between responsible data science, causal inference, and inequality—looking at statistical aspects of inequality problems, the modeling of social categories, and techniques that can aid in the responsible and transparent use and analysis of data. His research is generously supported by the Microsoft Research PhD Fellowship.
Selected publications
A New Paradigm for Counterfactual Reasoning in Fairness and Recourse
Lucius E. J. Bynum, Joshua R. Loftus, and Julia Stoyanovich
In Proceedings of the Thirty-Third International Joint Conference on
Artificial Intelligence, IJCAI 2024, Jeju, South Korea 2024
@inproceedings{DBLP:conf/ijcai/BynumLS24,author={Bynum, Lucius E. J. and Loftus, Joshua R. and Stoyanovich, Julia},title={A New Paradigm for Counterfactual Reasoning in Fairness and Recourse},booktitle={Proceedings of the Thirty-Third International Joint Conference on
Artificial Intelligence, {IJCAI} 2024, Jeju, South Korea},pages={7092--7100},publisher={ijcai.org},year={2024},timestamp={Fri, 18 Oct 2024 20:55:14 +0200},biburl={https://dblp.org/rec/conf/ijcai/BynumLS24.bib},bibsource={dblp computer science bibliography, https://dblp.org},keywords={conference,fairness,causal,counterfactuals}}
The Possibility of Fairness: Revisiting the Impossibility Theorem
in Practice
Andrew Bell, Lucius Bynum, Nazarii Drushchak, Tetiana Zakharchenko, Lucas Rosenblatt, and Julia Stoyanovich
In Proceedings of the ACM Conference on Fairness, Accountability,
and Transparency, FAccT, Chicago, IL, USA 2023
@inproceedings{DBLP:conf/fat/BellBDZRS23,author={Bell, Andrew and Bynum, Lucius and Drushchak, Nazarii and Zakharchenko, Tetiana and Rosenblatt, Lucas and Stoyanovich, Julia},title={The Possibility of Fairness: Revisiting the Impossibility Theorem
in Practice},booktitle={Proceedings of the {ACM} Conference on Fairness, Accountability,
and Transparency, FAccT, Chicago, IL, USA},pages={400--422},publisher={{ACM}},year={2023},doi={10.1145/3593013.3594007},keywords={conference,fairness,RAIforUkraine},author+an={1=self;2=self;3=self;4=self;5=self;6=self}}
Counterfactuals for the Future
Lucius E. J. Bynum, Joshua R. Loftus, and Julia Stoyanovich
@article{DBLP:journals/corr/abs-2212-03974,author={Bynum, Lucius E. J. and Loftus, Joshua R. and Stoyanovich, Julia},title={Counterfactuals for the Future},booktitle={Thirty-Seventh {AAAI} Conference on Artificial Intelligence, {AAAI}
2023, Thirty-Fifth Conference on Innovative Applications of Artificial
Intelligence, {IAAI} 2023, Thirteenth Symposium on Educational Advances
in Artificial Intelligence, {EAAI} 2023, Washington, DC, USA},pages={14144--14152},publisher={{AAAI} Press},year={2023},doi={10.1609/AAAI.V37I12.26655},keywords={conference,fairness,fair,causal,counterfactuals}}
An Interactive Introduction to Causal Inference
Lucius E.J. Bynum, Falaah Arif Khan, Oleksandra Konopatska, Joshua R. Loftus, and Julia Stoyanovich
VISxAI: Workshop on Visualization for AI Explainability 2022
@article{bynum2022interactive,author={Bynum, Lucius E.J. and Khan, Falaah Arif and Konopatska, Oleksandra and Loftus, Joshua R. and Stoyanovich, Julia},title={An Interactive Introduction to Causal Inference},journal={VISxAI: Workshop on Visualization for AI Explainability},year={2022},site={https://r-ai.co/ci-playground},publisher={IEEE},keywords={workshop,education,playground,RAIforUkraine},}
We Are AI: Taking Control of Technology
Julia Stoyanovich, Armanda Lewis, Eric Corbett, Lucius Bynum, Lucas Rosenblatt, and Falaah Arif Khan
In Proceedings of the AAAI Conference on Artificial Intelligence 2025
@inproceedings{stoyanovich_weareai_eaai25,title={We Are {AI}: Taking Control of Technology},author={Stoyanovich, Julia and Lewis, Armanda and Corbett, Eric and Bynum, Lucius and Rosenblatt, Lucas and {Arif Khan}, Falaah},year={2025},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},keywords={conference,education,weareai},pages={29070-29077},url={https://doi.org/10.1609/aaai.v39i28.35178},doi={https://doi.org/10.1609/aaai.v39i28.35178}}
All Aboard! Making AI Education Accessible
Falaah Arif Khan, Lucius Bynum, Amy Hurst, Lucas Rosenblatt, Meghana Shanbhogue, Mona Sloane, and Julia Stoyanovich
Center for Responsible AI, New York University 2023
@article{AllAboard,author={{Arif Khan}, Falaah and Bynum, Lucius and Hurst, Amy and Rosenblatt, Lucas and Shanbhogue, Meghana and Sloane, Mona and Stoyanovich, Julia},title={{All Aboard! Making AI Education Accessible}},journal={Center for Responsible AI, New York University},keywords={panel,education,weareai},year={2023},}
Disaggregated Interventions to Reduce Inequality
Lucius Bynum, Joshua R. Loftus, and Julia Stoyanovich
In EAAMO 2021: ACM Conference on Equity and Access in Algorithms,
Mechanisms, and Optimization, Virtual Event, USA, October 5 - 9, 2021 2021
An Interactive Introduction to Causal InferenceVISxAI: Workshop on Visualization for AI Explainability 2022
