Sean McGregor

According to our database, Sean McGregor authored at least 31 papers between 2015 and 2026.

Collaborative distances:

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

2026

A pragmatic classification of AI incident trajectories.

Isaak Mengesha, Branwen Owen, Charlie Collins, Tina Wong, Simon Mylius, Peter Slattery, Sean McGregor

CoRR, April, 2026

AI Incident Monitoring through a Public Health Lens.

Sophia Abraham, Taiye Chen, Cyril Chhun, Giovanna Jaramillo-Gutierrez, Simon Mylius, Sayash Raaj, Peter Slattery, Sean McGregor

CoRR, April, 2026

Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies.

Miles Brundage, Noemi Dreksler, Aidan Homewood, Sean McGregor, Patricia Paskov, Conrad Stosz, Girish Sastry, A. Feder Cooper, George Balston, Steven Adler, Stephen Casper, Markus Anderljung, Grace W. Lindsay, Sören Mindermann, Vasilios Mavroudis, Ben Bucknall, Charlotte Stix, Jonas Freund, Lorenzo Pacchiardi, José Hernández-Orallo, Matteo Pistillo, Michael Chen, Chris Painter, Dean W. Ball, Cullen O'Keefe, Gabriel Weil, Ben Harack, Graeme Finley, Ryan Hassan, Scott Emmons, Charles Foster, Anka Reuel, Bri Treece, Yoshua Bengio, Daniel Reti, Rishi Bommasani, Cristian Trout, Ali Shahin Shamsabadi, Rajiv Dattani, Adrian Weller, Robert Trager, Jaime Sevilla, Lauren Wagner, Lisa Soder, Ketan Ramakrishnan, Henry Papadatos, Malcolm Murray, Ryan Tovcimak

CoRR, January, 2026

2025

Risk Management for Mitigating Benchmark Failure Modes: BenchRisk.

Sean McGregor, Victor Lu, Vassil Tashev, Armstrong Foundjem, Aishwarya Ramasethu, Sadegh AlMahdi Kazemi Zarkouei, Chris Knotz, Kongtao Chen, Alicia Parrish, Anka Reuel, Heather Frase

CoRR, October, 2025

SandboxEval: Towards Securing Test Environment for Untrusted Code.

Rafiqul Rabin, Jesse Hostetler, Sean McGregor, Brett Weir, Nick Judd

CoRR, April, 2025

In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI.

Shayne Longpre, Kevin Klyman, Ruth E. Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean McGregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan

CoRR, March, 2025

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons.

Shaona Ghosh, Heather Frase, Adina Williams, Sarah Luger, Paul Röttger, Fazl Barez, Sean McGregor, Kenneth Fricklas, Mala Kumar, Quentin Feuillade-Montixi, Kurt D. Bollacker, Felix Friedrich, Ryan Tsang, Bertie Vidgen, Alicia Parrish, Chris Knotz, Eleonora Presani, Jonathan Bennion, Marisa Ferrara Boston, Mike Kuniavsky, Wiebke Hutiri, James Ezick, Malek Ben Salem, Rajat Sahay, Sujata S. Goswami, Usman Gohar, Ben Huang, Supheakmungkol Sarin, Elie Alhajjar, Canyu Chen, Roman Eng, Kashyap Ramanandula Manjusha, Virendra Mehta, Eileen Long, Murali Emani, Natan Vidra, Benjamin Rukundo, Abolfazl Shahbazi, Kongtao Chen, Rajat Ghosh, Vithursan Thangarasa, Pierre Peigné, Abhinav Singh, Max Bartolo, Satyapriya Krishna, Mubashara Akhtar, Rafael Gold, Cody Coleman, Luis Oala, Vassil Tashev, Joseph Marvin Imperial, Amy Russ, Sasidhar Kunapuli, Nicolas Miailhe, Julien Delaunay, Bhaktipriya Radharapu, Rajat Shinde, Tuesday, Debojyoti Dutta, Declan Grabb, Ananya Gangavarapu, Saurav Sahay, Agasthya Gangavarapu, Patrick Schramowski, Stephen Singam, Tom David, Xudong Han, Priyanka Mary Mammen, Tarunima Prabhakar, Venelin Kovatchev, Ahmed Ahmed, Kelvin N. Manyeki, Sandeep Madireddy, Foutse Khomh, Fedor Zhdanov, Joachim Baumann, Nina Vasan, Xianjun Yang, Carlos Mougn, Jibin Rajan Varghese, Hussain Chinoy, Seshakrishna Jitendar, Manil Maskey, Claire V. Hardgrove, Tianhao Li, Aakash Gupta, Emil Joswin, Yifan Mai, Shachi H. Kumar, Cigdem Patlak, Kevin Lu, Vincent Alessi, Sree Bhargavi Balija, Chenhe Gu, Robert Sullivan, James Gealy, Matt Lavrisa, James Goel, Peter Mattson, Percy Liang, Joaquin Vanschoren

CoRR, March, 2025

Introduction to the special issue on innovative applications of artificial intelligence (IAAI 2025).

Serdar Kadioglu, Sean McGregor, Jan Seyler

AI Mag., 2025

Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation.

Rafiqul Rabin, Sean McGregor, Nick Judd

Proceedings of the IEEE International Conference on Software Analysis, 2025

Risk Management for Mitigating Benchmark Failure Modes: BenchRisk.

Sean McGregor, Vassil Tashev, Armstrong Foundjem, Aishwarya Ramasethu, Sadegh AlMahdi Kazemi Zarkouei, Chris Knotz, Kongtao Chen, Alicia Parrish, Anka Reuel-Lamparth, Heather Frase

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI.

Shayne Longpre, Kevin Klyman, Ruth Elisabeth Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean McGregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar, Mark M. Jaycox, Markus Anderljung, Nadine Farid Johnson, Nicholas Carlini, Nicolas Miailhe, Nik Marda, Peter Henderson, Rebecca S. Portnoff, Rebecca Weiss, Victoria Westerhoff, Yacine Jernite, Rumman Chowdhury, Percy Liang, Arvind Narayanan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Lessons for Editors of AI Incidents from the AI Incident Database.

Kevin Paeth, Daniel Atherton, Nikiforos Pittaras, Heather Frase, Sean McGregor

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices.

Sean McGregor, Allyson Ettinger, Nick Judd, Paul Albee, Liwei Jiang, Kavel Rao, William H. Smith, Shayne Longpre, Avijit Ghosh, Christopher Fiorelli, Michelle Hoang, Sven Cattell, Nouha Dziri

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Open Digital Safety.

Sean McGregor

Computer, April, 2024

Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online.

Steven Adler, Zoë Hitzig, Shrey Jain, Catherine Brewer, Wayne Chang, Renee DiResta, Eddy Lazzarin, Sean McGregor, Wendy Seltzer, Divya Siddarth, Nouran Soliman, Tobin South, Connor Spelliscy, Manu Sporny, Varya Srivastava, John Bailey, Brian R. Christian, Andrew Critch, Ronnie Falcon, Heather Flanagan, Kim Hamilton Duffy, Eric Ho, Claire R. Leibowicz, Srikanth Nadhamuni, Alan Z. Rozenshtein, David Schnurr, Evan Shapiro, Lacey Strahm, Andrew Trask, Zoe Weinberg, Cedric Whitney, Tom Zick

CoRR, 2024

Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin N. Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren

CoRR, 2024

AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards.

Arihant Chadda, Sean McGregor, Jesse Hostetler, Andrea Brennen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Scaled Multiyear Responsible Artificial Intelligence Impact Assessment.

Sean McGregor

Computer, August, 2023

Six Human-Centered Artificial Intelligence Grand Challenges.

Özlem Özmen Garibay, Brent Winslow, Salvatore Andolina, Margherita Antona, Anja Bodenschatz, Constantinos K. Coursaris, Gregory Falco, Stephen M. Fiore, Ivan Garibay, Keri Grieman, John C. Havens, Marina Jirotka, Hernisa Kacorri, Waldemar Karwowski, Joseph T. Kider Jr., Joseph A. Konstan, Sean Koon, Mónica López-González, Iliana Maifeld-Carucci, Sean McGregor, Gavriel Salvendy, Ben Shneiderman, Constantine Stephanidis, Christina Strobel, Carolyn Ten Holter, Wei Xu

Int. J. Hum. Comput. Interact., 2023

Data-Centric Governance.

Sean McGregor, Jesse Hostetler

CoRR, 2023

A Taxonomic System for Failure Cause Analysis of Open Source AI Incidents.

Nikiforos Pittaras, Sean McGregor

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

Indexing AI Risks with Incidents, Issues, and Variants.

Sean McGregor, Kevin Paeth, Khoa Lam

CoRR, 2022

Participation Interfaces for Human-Centered AI.

Sean McGregor

CoRR, 2022

2021

The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media.

Claire R. Leibowicz, Sean McGregor, Aviv Ovadya

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database.

Sean McGregor

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2018

Year One of the IBM Watson AI XPRIZE: Case Studies in "AI for Good".

Sean McGregor, Amir Banifatemi

AI Mag., 2018

2017

Interactive visualization for testing Markov Decision Processes: MDPVIS.

Sean McGregor, Hailey Buckingham, Thomas G. Dietterich, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer

J. Vis. Lang. Comput., 2017

Fast Optimization of Wildfire Suppression Policies with SMAC.

Sean McGregor, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer, Thomas G. Dietterich

CoRR, 2017

Factoring Exogenous State for Model-Free Monte Carlo.

Sean McGregor, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer, Thomas G. Dietterich

CoRR, 2017

2015

Facilitating testing and debugging of Markov Decision Processes with interactive visualization.

Sean McGregor, Hailey Buckingham, Thomas G. Dietterich, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer

Proceedings of the 2015 IEEE Symposium on Visual Languages and Human-Centric Computing, 2015

MDPVIS: An Interactive Visualization for Testing Markov Decision Processes.

Sean McGregor, Hailey Buckingham, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer, Thomas G. Dietterich

Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015