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Logan Stapleton
Logan Stapleton
Assistant Professor, Vassar College; PhD Candidate, University of Minnesota
Verified email at vassar.edu - Homepage
Title
Cited by
Cited by
Year
Improving human-AI partnerships in child welfare: understanding worker practices, challenges, and desires for algorithmic decision support
A Kawakami, V Sivaraman, HF Cheng, L Stapleton, Y Cheng, D Qing, ...
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
1102022
An algorithmic framework for fairness elicitation
C Jung, M Kearns, S Neel, A Roth, L Stapleton, ZS Wu
arXiv preprint arXiv:1905.10660, 2019
99*2019
How child welfare workers reduce racial disparities in algorithmic decisions
HF Cheng, L Stapleton, A Kawakami, V Sivaraman, Y Cheng, D Qing, ...
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
732022
Soliciting stakeholders’ fairness notions in child maltreatment predictive systems
HF Cheng, L Stapleton, R Wang, P Bullock, A Chouldechova, ZSS Wu, ...
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021
702021
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
L Stapleton, MH Lee, D Qing, M Wright, A Chouldechova, K Holstein, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
602022
“Why Do I Care What’s Similar?” Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts
A Kawakami, V Sivaraman, L Stapleton, HF Cheng, A Perer, ZS Wu, ...
Proceedings of the 2022 ACM Designing Interactive Systems Conference, 454-470, 2022
412022
Strategic instrumental variable regression: Recovering causal relationships from strategic responses
K Harris, DDT Ngo, L Stapleton, H Heidari, S Wu
International Conference on Machine Learning, 8502-8522, 2022
282022
Seeing seeds beyond weeds: Green teaming generative ai for beneficial uses
L Stapleton, J Taylor, S Fox, T Wu, H Zhu
arXiv preprint arXiv:2306.03097, 2023
132023
A sandbox tool to bias (stress)-test fairness algorithms
NJ Akpinar, M Nagireddy, L Stapleton, HF Cheng, H Zhu, S Wu, H Heidari
arXiv preprint arXiv:2204.10233, 2022
122022
Who has an interest in “Public Interest Technology”?: Critical questions for working with local governments & impacted communities
L Stapleton, D Saxena, A Kawakami, T Nguyen, A Ammitzbøll Flügge, ...
Companion Publication of the 2022 Conference on Computer Supported …, 2022
102022
Incentivizing compliance with algorithmic instruments
DDT Ngo, L Stapleton, V Syrgkanis, S Wu
International Conference on Machine Learning, 8045-8055, 2021
7*2021
Community-driven AI: Empowering people through responsible data-driven decision-making
R Wan, A Alvarado Garcia, D Saxena, C Vajiac, A Kawakami, L Stapleton, ...
Companion Publication of the 2023 Conference on Computer Supported …, 2023
62023
" If This Person is Suicidal, What Do I Do?": Designing Computational Approaches to Help Online Volunteers Respond to Suicidality
L Stapleton, S Liu, C Liu, I Hong, S Chancellor, RE Kraut, H Zhu
Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-21, 2024
22024
Extended Analysis of" How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions"
L Stapleton, HF Cheng, A Kawakami, V Sivaraman, Y Cheng, D Qing, ...
arXiv preprint arXiv:2204.13872, 2022
22022
Animals, machines, and moral responsibility in a built environment
L Stapleton
22018
Data Agency Theory: A Precise Theory of Justice for AI Applications
L Ajmani, L Stapleton, M Houtti, S Chancellor
The 2024 ACM Conference on Fairness, Accountability, and Transparency, 631-641, 2024
12024
Advancing a consent-forward paradigm for digital mental health data
SR Pendse, L Stapleton, N Kumar, M De Choudhury, S Chancellor
Nature Mental Health, 1-10, 2024
2024
2nd Symposium on Foundations of Responsible Computing (FORC 2021)
A Ganesh, J Zhao, C Jung, M Kearns, S Neel, A Roth, L Stapleton, ZS Wu, ...
Schloss Dagstuhl-Leibniz-Zentrum für Informatik GmbH, 2021
2021
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