Logan Stapleton

According to our database, Logan Stapleton authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses.

Logan Stapleton, Jordan Taylor, Sarah E. Fox, Tongshuang Wu, Haiyi Zhu

CoRR, 2023

Community-driven AI: Empowering people through responsible data-driven decision-making.

Ruyuan Wan, Adriana Alvarado Garcia, Devansh Saxena, Catalina Vajiac, Anna Kawakami, Logan Stapleton, Haiyi Zhu, Kenneth Holstein, Heloisa Candello, Karla A. Badillo-Urquiola

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022

Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions".

Logan Stapleton, Hao Fei Cheng, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu

CoRR, 2022

A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms.

Nil-Jana Akpinar, Manish Nagireddy, Logan Stapleton, Hao Fei Cheng, Haiyi Zhu, Zhiwei Steven Wu, Hoda Heidari

CoRR, 2022

Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses.

Keegan Harris, Dung Daniel T. Ngo, Logan Stapleton, Hoda Heidari, Steven Wu

Proceedings of the International Conference on Machine Learning, 2022

Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders.

Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Ken Holstein, Zhiwei Steven Wu, Haiyi Zhu

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Who Has an Interest in "Public Interest Technology"?: Critical Questions for Working with Local Governments & Impacted Communities.

Logan Stapleton, Devansh Saxena, Anna Kawakami, Tonya Nguyen, Asbjørn Ammitzbøll Flügge, Motahhare Eslami, Naja L. Holten Møller, Min Kyung Lee, Shion Guha, Kenneth Holstein, Haiyi Zhu

Proceedings of the Companion Computer Supported Cooperative Work and Social Computing, 2022

Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support.

Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions.

Hao Fei Cheng, Logan Stapleton, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

"Why Do I Care What's Similar?" Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts.

Anna Kawakami, Venkatesh Sivaraman, Logan Stapleton, Hao Fei Cheng, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein

Proceedings of the DIS '22: Designing Interactive Systems Conference, Virtual Event, Australia, June 13, 2022

2021

Incentivizing Compliance with Algorithmic Instruments.

Dung Daniel T. Ngo, Logan Stapleton, Vasilis Syrgkanis, Steven Wu

Proceedings of the 38th International Conference on Machine Learning, 2021

An Algorithmic Framework for Fairness Elicitation.

Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Logan Stapleton, Zhiwei Steven Wu

Proceedings of the 2nd Symposium on Foundations of Responsible Computing, 2021

Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems.

Hao Fei Cheng, Logan Stapleton, Ruiqi Wang, Paige Bullock, Alexandra Chouldechova, Zhiwei Steven Wu, Haiyi Zhu

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2019

Eliciting and Enforcing Subjective Individual Fairness.

Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Logan Stapleton, Zhiwei Steven Wu

CoRR, 2019