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Kathleen A. Creel
Kathleen A. Creel
Northeastern University
Verified email at northeastern.edu - Homepage
Title
Cited by
Cited by
Year
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
28942021
Transparency in complex computational systems
KA Creel
Philosophy of Science 87 (4), 568-589, 2020
1152020
The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision-Making Systems
K Creel, D Hellman
Canadian Journal of Philosophy, 2021
672021
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?
R Bommasani, KA Creel, A Kumar, D Jurafsky, PS Liang
Advances in Neural Information Processing Systems (NeurIPS) 35, 3663-3678, 2022
442022
Clinical decisions using AI must consider patient values
J Birch, KA Creel, AK Jha, A Plutynski
Nature Medicine 28 (2), 229-232, 2022
292022
What makes a good explanation? Cognitive dimensions of explaining intelligent machines.
R Confalonieri, TR Besold, T Weyde, K Creel, T Lombrozo, ST Mueller, ...
CogSci, 25-26, 2019
252019
Ecosystem graphs: The social footprint of foundation models
R Bommasani, D Soylu, TI Liao, KA Creel, P Liang
arXiv preprint arXiv:2303.15772, 2023
102023
Ethical considerations for artificial intelligence in medical imaging: deployment and governance
J Herington, MD McCradden, K Creel, R Boellaard, EC Jones, AK Jha, ...
Journal of Nuclear Medicine 64 (10), 1509-1515, 2023
92023
Ethical considerations for artificial intelligence in medical imaging: data collection, development, and evaluation
J Herington, MD McCradden, K Creel, R Boellaard, EC Jones, AK Jha, ...
Journal of Nuclear Medicine 64 (12), 1848-1854, 2023
52023
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
C Toups, R Bommasani, KA Creel, SH Bana, D Jurafsky, P Liang
Advances in Neural Information Processing Systems (NeurIPS) 2023, 2023
52023
Artificial Knowing Otherwise
O Keyes, K Creel
Feminist Philosophy Quarterly 8 (3/4), 2022
22022
Privacy and Paternalism: The Ethics of Student Data Collection
K Creel, T Dixit
Case Studies in Social and Ethical Responsibilities of Computing, 2022
12022
Opening the Black Box: Explanation and Transparency in Machine Learning
K Creel
University of Pittsburgh, 2021
12021
Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
S Jain, K Creel, A Wilson
arXiv preprint arXiv:2404.08592, 2024
2024
Algorithmic Pluralism
S Jain, VM Suriyakumar, KA Creel, AC Wilson
arXiv, 2023
2023
Ethical risks in the development and deployment of artificial intelligence systems in nuclear medicine
M McCradden, J Herington, K Creel, R Boellaard, A Jha, A Rahmim, ...
Journal of Nuclear Medicine 63 (supplement 2), 2751-2751, 2022
2022
Function and User-Satisfaction in Explainable AI
KA Creel
Overcoming Opacity in Machine Learning, 3, 2021
2021
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