Követés
Maria De-Arteaga
Maria De-Arteaga
Assistant Professor, University of Texas at Austin
E-mail megerősítve itt: utexas.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
M De-Arteaga, A Romanov, H Wallach, J Chayes, C Borgs, ...
ACM Conference on Fairness, Accountability, and Transparency, 120--128, 2019
5432019
A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores
M De-Arteaga, R Fogliato, A Chouldechova
ACM CHI Conference on Human Factors in Computing Systems, 2020
2402020
What are the biases in my word embedding?
N Swinger, M De-Arteaga, NT Heffernan IV, MDM Leiserson, AT Kalai
AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES), 2019
1282019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
A Romanov, M De-Arteaga, H Wallach, J Chayes, C Borgs, ...
Conference of the North American Chapter of the Association for …, 2019
902019
Machine learning for the developing world
M De-Arteaga, W Herlands, DB Neill, A Dubrawski
ACM Transactions on Management Information Systems (TMIS) 9 (2), 1-14, 2018
772018
Algorithmic fairness in business analytics: Directions for research and practice
M De‐Arteaga, S Feuerriegel, M Saar‐Tsechansky
Production and Operations Management 31 (10), 3749-3770, 2022
682022
Human-AI Collaboration with Bandit Feedback
R Gao, M Saar-Tsechansky, M De-Arteaga, L Han, MK Lee, M Lease
International Joint Conference on Artificial Intelligence (IJCAI), 2021
582021
Learning under selective labels in the presence of expert consistency
M De-Arteaga, A Dubrawski, A Chouldechova
Workshop on Fairness, Accountability, and Transparency in Machine Learning …, 2018
482018
Diversity in sociotechnical machine learning systems
S Fazelpour, M De-Arteaga
Big Data & Society 9 (1), 20539517221082027, 2022
472022
The effect of differential victim crime reporting on predictive policing systems
NJ Akpinar, M De-Arteaga, A Chouldechova
ACM Conference on Fairness, Accountability, and Transparency, 2021
462021
Human-Centered Responsible Artificial Intelligence: Current & Future Trends
M Tahaei, M Constantinides, D Quercia, S Kennedy, M Muller, S Stumpf, ...
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023
422023
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making
J Schoeffer, M De-Arteaga, N Kuehl
🏅Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-18, 2024
332024
Leveraging expert consistency to improve algorithmic decision support
M De-Arteaga, V Jeanselme, A Dubrawski, A Chouldechova
Management Science (forthcoming), 2025
30*2025
Toward supporting perceptual complementarity in human-AI collaboration via reflection on unobservables
K Holstein, M De-Arteaga, L Tumati, Y Cheng
Proceedings of the ACM on Human-Computer Interaction 7 (CSCW1), 1-20, 2023
282023
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms
T Neumann, M De-Arteaga, S Fazelpour
ACM Conference on Fairness, Accountability, and Transparency, 2022
272022
Author profiling using corpus statistics, lexicons and stylistic features
M De-Arteaga, S Jimenez, G Duenas, S Mancera, J Baquero
10th PAN evaluation lab on uncovering plagiarism, authorship. and social …, 2013
24*2013
A critical survey on fairness benefits of explainable AI
L Deck, J Schoeffer, M De-Arteaga, N Kühl
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024
22*2024
A case for humans-in-the-loop: Decisions in the presence of misestimated algorithmic scores
R Fogliato, M De-Arteaga, A Chouldechova
Available at SSRN, 2022
202022
Self-fulfilling prophecies and machine learning in resuscitation science
M De-Arteaga, J Elmer
Resuscitation 183, 109622, 2023
142023
Same same, but different: Conditional multi-task learning for demographic-specific toxicity detection
S Gupta, S Lee, M De-Arteaga, M Lease
Proceedings of the ACM Web Conference 2023, 3689-3700, 2023
132023
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