MDPVIS: An Interactive Visualization for Testing Markov Decision Processes. - Sean McGregor; Hailey Buckingham; Rachel Houtman; Claire A. Montgomery; Ronald A. Metoyer; Thomas G. Dietterich (AAAI Fall Symposia, 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 (VL/HCC, 2015)

Factoring Exogenous State for Model-Free Monte Carlo. - Sean McGregor; Rachel Houtman; Claire A. Montgomery; Ronald A. Metoyer; Thomas G. Dietterich (CoRR, 2017)

Fast Optimization of Wildfire Suppression Policies with SMAC. - Sean McGregor; Rachel Houtman; Claire A. Montgomery; Ronald A. Metoyer; Thomas G. Dietterich (CoRR, 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)

Year One of the IBM Watson AI XPRIZE: Case Studies in "AI for Good". - Sean McGregor; Amir Banifatemi (AI Mag., 2018)

Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. - Sean McGregor (AAAI, 2021)

The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media. - Claire R. Leibowicz; Sean McGregor; Aviv Ovadya (AIES, 2021)

Participation Interfaces for Human-Centered AI. - Sean McGregor (CoRR, 2022)

Indexing AI Risks with Incidents, Issues, and Variants. - Sean McGregor; Kevin Paeth; Khoa Lam (CoRR, 2022)

A Taxonomic System for Failure Cause Analysis of Open Source AI Incidents. - Nikiforos Pittaras; Sean McGregor (SafeAI@AAAI, 2023)

Data-Centric Governance. - Sean McGregor; Jesse Hostetler (CoRR, 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; et al. (Int. J. Hum. Comput. Interact., 2023)

A Scaled Multiyear Responsible Artificial Intelligence Impact Assessment. - Sean McGregor (Computer, 2023)

AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards. - Arihant Chadda; Sean McGregor; Jesse Hostetler; Andrea Brennen (AAAI, 2024)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 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; et al. (CoRR, 2024)

Open Digital Safety. - Sean McGregor (Computer, 2024)

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; et al. (AAAI, 2025)

Lessons for Editors of AI Incidents from the AI Incident Database. - Kevin Paeth; Daniel Atherton; Nikiforos Pittaras; Heather Frase; Sean McGregor (AAAI, 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 Bollacker; Felix Friedrich; et al. (CoRR, 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; et al. (CoRR, 2025)

Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation. - Rafiqul Rabin; Sean McGregor; Nick Judd (CoRR, 2025)

SandboxEval: Towards Securing Test Environment for Untrusted Code. - Rafiqul Rabin; Jesse Hostetler; Sean McGregor; Brett Weir; Nick Judd (CoRR, 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, 2025)