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2020 – today
- 2025
[j2]Anka Reuel, Benjamin Bucknall, Stephen Casper, Timothy Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, David Bau, Paul Bricman, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager:
Open Problems in Technical AI Governance. Trans. Mach. Learn. Res. 2025 (2025)- [c3]Saad Siddiqui
, Lujain Ibrahim, Kristy Loke, Stephen Clare, Marianne Lu, Aris Richardson, Conor McGlynn, Jeffrey Ding:
Promising Topics for US-China Dialogues on AI Risks and Governance. FAccT 2025: 1211-1223 - [i11]Lujain Ibrahim, Canfer Akbulut, Rasmi Elasmar, Charvi Rastogi, Minsuk Kahng, Meredith Ringel Morris, Kevin R. McKee, Verena Rieser, Murray Shanahan, Laura Weidinger:
Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models. CoRR abs/2502.07077 (2025) - [i10]Lujain Ibrahim, Myra Cheng:
Thinking beyond the anthropomorphic paradigm benefits LLM research. CoRR abs/2502.09192 (2025) - [i9]Saad Siddiqui, Lujain Ibrahim, Kristy Loke, Stephen Clare, Marianne Lu, Aris Richardson, Conor McGlynn, Jeffrey Ding:
Promising Topics for U.S.-China Dialogues on AI Risks and Governance. CoRR abs/2505.07468 (2025) - [i8]Myra Cheng, Sunny Yu, Cinoo Lee, Pranav Khadpe, Lujain Ibrahim, Dan Jurafsky:
Social Sycophancy: A Broader Understanding of LLM Sycophancy. CoRR abs/2505.13995 (2025) - [i7]Lujain Ibrahim, Franziska Sofia Hafner, Luc Rocher:
Training language models to be warm and empathetic makes them less reliable and more sycophantic. CoRR abs/2507.21919 (2025) - [i6]Mackenzie Jorgensen, Kendall Brogle, Katherine M. Collins, Lujain Ibrahim, Arina Shah, Petra Ivanovic, Noah Broestl, Gabriel Piles, Paul Dongha, Hatim Abdulhussein, Adrian Weller, Jillian Powers, Umang Bhatt:
Documenting Deployment with Fabric: A Repository of Real-World AI Governance. CoRR abs/2508.14119 (2025) - [i5]Lujain Ibrahim, Katherine M. Collins, Sunnie S. Y. Kim, Anka Reuel, Max Lamparth, Kevin Feng, Lama Ahmad, Prajna Soni, Alia El Kattan, Merlin Stein, Siddharth Swaroop, Ilia Sucholutsky, Andrew Strait, Q. Vera Liao, Umang Bhatt:
Measuring and mitigating overreliance is necessary for building human-compatible AI. CoRR abs/2509.08010 (2025) - 2024
- [i4]Lujain Ibrahim, Luc Rocher, Ana Valdivia:
Characterizing and modeling harms from interactions with design patterns in AI interfaces. CoRR abs/2404.11370 (2024) - [i3]Lujain Ibrahim, Saffron Huang, Lama Ahmad, Markus Anderljung:
Beyond static AI evaluations: advancing human interaction evaluations for LLM harms and risks. CoRR abs/2405.10632 (2024) - [i2]Anka Reuel, Ben Bucknall, Stephen Casper, Timothy Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager:
Open Problems in Technical AI Governance. CoRR abs/2407.14981 (2024) - 2023
- [c2]Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai:
Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations. AAMAS 2023: 326-334 - 2021
- [c1]Lujain Ibrahim, Mohammad M. Ghassemi, Tuka Alhanai:
Modeling Simultaneous Preferences for Age, Gender, Race, and Professional Profiles in Government-Expense Spending: A Conjoint Analysis. HCOMP 2021: 84-96 - [i1]Brittany Wills, Christina Isaicu, Heather von Stackelberg, Lujain Ibrahim, Matthew Hutson, Mitchel Fleming, Nanditha Narayanamoorthy, Samuel Curtis, Shreyasha Paudel, Sofía Trejo, Tiziana Zevallos, Victoria Martín del Campo, Wilson Lee:
The MAIEI Learning Community Report. CoRR abs/2112.01531 (2021) - 2020
- [j1]Lujain Ibrahim, Munib Mesinovic, Kai-Wen K. Yang, Mohamad A. Eid:
Explainable Prediction of Acute Myocardial Infarction Using Machine Learning and Shapley Values. IEEE Access 8: 210410-210417 (2020)
Coauthor Index
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