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2020 – today
- 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, Tim 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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