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2020 – today
- 2025
[c9]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:
To Err Is AI: A Case Study Informing LLM Flaw Reporting Practices. AAAI 2025: 28938-28945- [c8]Kevin Paeth, Daniel Atherton, Nikiforos Pittaras, Heather Frase, Sean McGregor:
Lessons for Editors of AI Incidents from the AI Incident Database. AAAI 2025: 28946-28953 - [i15]Shaona Ghosh, Heather Frase, Adina Williams, Sarah Luger, Paul Röttger, Fazl Barez, Sean McGregor, Kenneth Fricklas, Mala Kumar, Quentin Feuillade--Montixi, Kurt 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:
AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. CoRR abs/2503.05731 (2025) - [i14]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:
In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI. CoRR abs/2503.16861 (2025) - [i13]Rafiqul Rabin, Sean McGregor, Nick Judd:
Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation. CoRR abs/2503.22760 (2025) - 2024
- [j5]Sean McGregor
:
Open Digital Safety. Computer 57(4): 99-103 (2024) - [c7]Arihant Chadda, Sean McGregor, Jesse Hostetler, Andrea Brennen:
AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards. AAAI 2024: 23035-23040 - [i12]Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. 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:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - [i11]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 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:
Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online. CoRR abs/2408.07892 (2024) - [i10]Kevin Paeth, Daniel Atherton, Nikiforos Pittaras, Heather Frase, Sean McGregor:
Lessons for Editors of AI Incidents from the AI Incident Database. CoRR abs/2409.16425 (2024) - [i9]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:
To Err is AI : A Case Study Informing LLM Flaw Reporting Practices. CoRR abs/2410.12104 (2024) - 2023
- [j4]Sean McGregor:
A Scaled Multiyear Responsible Artificial Intelligence Impact Assessment. Computer 56(8): 20-27 (2023) - [j3]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:
Six Human-Centered Artificial Intelligence Grand Challenges. Int. J. Hum. Comput. Interact. 39(3): 391-437 (2023) - [c6]Nikiforos Pittaras, Sean McGregor:
A Taxonomic System for Failure Cause Analysis of Open Source AI Incidents. SafeAI@AAAI 2023 - [i8]Sean McGregor, Jesse Hostetler:
Data-Centric Governance. CoRR abs/2302.07872 (2023) - 2022
- [i7]Nikiforos Pittaras, Sean McGregor:
A taxonomic system for failure cause analysis of open source AI incidents. CoRR abs/2211.07280 (2022) - [i6]Sean McGregor:
Participation Interfaces for Human-Centered AI. CoRR abs/2211.08419 (2022) - [i5]Sean McGregor, Kevin Paeth, Khoa Lam:
Indexing AI Risks with Incidents, Issues, and Variants. CoRR abs/2211.10384 (2022) - 2021
- [c5]Sean McGregor:
Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. AAAI 2021: 15458-15463 - [c4]Claire R. Leibowicz, Sean McGregor, Aviv Ovadya:
The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media. AIES 2021: 736-744 - [i4]Claire Leibowicz, Sean McGregor, Aviv Ovadya:
The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media. CoRR abs/2102.06109 (2021) - 2020
- [i3]Sean McGregor:
Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. CoRR abs/2011.08512 (2020)
2010 – 2019
- 2018
- [j2]Sean McGregor, Amir Banifatemi:
Year One of the IBM Watson AI XPRIZE: Case Studies in "AI for Good". AI Mag. 39(3): 27-39 (2018) - 2017
- [j1]Sean McGregor, Hailey Buckingham, Thomas G. Dietterich, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer:
Interactive visualization for testing Markov Decision Processes: MDPVIS. J. Vis. Lang. Comput. 39: 93-106 (2017) - [i2]Sean McGregor, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer, Thomas G. Dietterich:
Factoring Exogenous State for Model-Free Monte Carlo. CoRR abs/1703.09390 (2017) - [i1]Sean McGregor, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer, Thomas G. Dietterich:
Fast Optimization of Wildfire Suppression Policies with SMAC. CoRR abs/1703.09391 (2017) - 2015
- [c3]Sean McGregor, Hailey Buckingham, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer, Thomas G. Dietterich:
MDPVIS: An Interactive Visualization for Testing Markov Decision Processes. AAAI Fall Symposia 2015: 56-58 - [c2]Sean McGregor, Hailey Buckingham, Thomas G. Dietterich, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer:
Facilitating testing and debugging of Markov Decision Processes with interactive visualization. VL/HCC 2015: 53-61 - [c1]Sean McGregor, Hailey Buckingham, Thomas G. Dietterich, Rachel Houtman, Claire A. Montgomery, Ronald A. Metoyer:
Facilitating testing and debugging of Markov Decision Processes with interactive visualization. VL/HCC 2015: 281-282
Coauthor Index
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