Logan Stapleton

I’m a 5th-year Computer Science PhD candidate in GroupLens at University of Minnesota, advised by Profs. Haiyi Zhu and Steven Wu.

I study AI in care work like child welfare and suicide prevention – especially how people are marginalized or harmed by these technologies.

During undergrad, I worked with Prof. Diane Michelfelder on philosophy of technology.

Here’s my CV.

Ongoing Research

My thesis work looks at online support for people who experience suicidality. For example, I’m using Large Language Models to help train online volunteer counselors on how to talk with suicidal people.

Published Research

Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses [preprint]
Logan Stapleton, Jordan Taylor, Sarah Fox, Tongshuang Wu, Haiyi Zhu

Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders [paper]
In FAccT 2022
Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu

How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions [paper][extended analysis][short talk][blog]
In CHI 2022
Hao-Fei Cheng*, Logan Stapleton*, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu (*equal contribution)

Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support [paper]
In CHI 2022
Anna Kawakami, Venkatesh Sivaraman, Hao-Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein

“Why Do I Care What’s Similar?” Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts
Accepted to DIS 2022
Anna Kawakami*, Venkatesh Sivaraman*, Logan Stapleton, Hao-Fei Cheng, Yanghuidi Cheng, Diana Qing, Adam Perer, Steven Wu, Haiyi Zhu, Kenneth Holstein (*equal contribution)

Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses [paper]
Accepted to ICML 2022
Keegan Harris, Daniel Ngo*, Logan Stapleton*, Hoda Heidari, Zhiwei Steven Wu (*equal contribution)

Incentivizing Compliance with Algorithmic Instruments [paper] [talk] [short slides]
In ICML 2021
Daniel Ngo*, Logan Stapleton*, Vasilis Syrgkanis, Zhiwei Steven Wu (*equal contribution)

An Algorithmic Framework for Fairness Elicitation [paper]
(Also appeared asEliciting and Enforcing Subjective Individual Fairness”)
In FORC 2021
Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Logan Stapleton, Zhiwei Steven Wu (alphabetical order)

Soliciting Stakeholders’ Fairness Notions in Child Maltreatment Predictive Systems [paper]
In CHI 2021
Hao-Fei Cheng, Logan Stapleton, Ruiqi Wang, Paige Bullock, Alexandra Chouldechova, Zhiwei Steven Wu, Haiyi Zhu

Will the “age of algorithmization” be an age of technological paternalism?
Appeared at CEPE 2019 (Computer Ethics—Philosophical Enquiry)
Diane Michelfelder, Logan Stapleton


ADDRESS
4-192 Keller Hall
200 Union Street SE
Minneapolis, MN 55455

CONTACT
stapl158 [at] umn.edu
please address as Logan
or they/them pronouns