Publications

*Equal contribution, ^Equal advising

Under Review

Archival

Learning from Discriminatory Training Data

Published in AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, 2023

Przemyslaw A. Grabowicz*, Nicholas Perello*, and Kenta Takatsu. Learning from Discriminatory Training Data. In AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2023

Marrying Fairness and Explainability in Supervised Learning

Published in ACM Conference on Fairness, Accountability, and Transparency, 2022

Przemyslaw A. Grabowicz, Nicholas Perello, and Aarshee Mishra. Marrying Fairness and Explainability in Supervised Learning. In ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022.

On Optimizing Interventions in Shared Autonomy

Published in Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Weihao Tan*, David Koleczek*, Siddhant Pradhan*, Nicholas Perello, Vivek Chettiar, Nan Ma, Aaslesha Rajaram, Vishal Rohra, Soundar Srinivasan, H M Sajjad Hossain^, and Yash Chandak^. On Optimizing Interventions in Shared Autonomy. In Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022

Non-Archival

Towards an AI Accountability Policy.

Published in Comment on FR Doc 2023-07776 Posted by the National Telecommunications and Information Administration, 2023

Przemyslaw A. Grabowicz, Nicholas Perello, Yair Zick. Towards an AI Accountability Policy. In Comment on FR Doc 2023-07776 Posted by the National Telecommunications and Information Administration, 2023.

Intervention Aware Shared Autonomy

Published in ICML Workshop on Human-AI Collaboration in Sequential Decision-Making, 2021

Weihao Tan*, David Koleczek*, Siddhant Pradhan*, Nicholas Perello, Vivek Chettiar, Nan Ma, Aaslesha Rajaram, Vishal Rohra, Soundar Srinivasan, H M Sajjad Hossain^, and Yash Chandak^. Intervention Aware Shared Autonomy. In ICML Workshop on Human-AI Collaboration in Sequential Decision-Making, 2021.

Towards Fair and Explainable Supervised Learning

Published in ICML Workshop on Socially Responsible Machine Learning, 2021

Aarshee Mishra*, Nicholas Perello*, and Przemyslaw A. Grabowicz. Towards Fair and Explainable Supervised Learning. In ICML Workshop on Socially Responsible Machine Learning (SRML), 2021.