Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use von Kawakami, Anna, Coston, Amanda, Heidari, Hoda, Holstein, Kenneth, Zhu, Haiyi

Volltext

Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate von Chen, George H., Li, Linhong, Zuo, Ren, Coston, Amanda, Weiss, Jeremy C.

Volltext

The role of the geometric mean in case-control studies von Coston, Amanda, Kennedy, Edward H

Volltext bestellen

Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate von Li, Linhong, Zuo, Ren, Coston, Amanda, Weiss, Jeremy C., Chen, George H.

Volltext

Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding von Rambachan, Ashesh, Coston, Amanda, Kennedy, Edward

Volltext bestellen

Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use von Kawakami, Anna, Coston, Amanda, Heidari, Hoda, Holstein, Kenneth, Zhu, Haiyi

Volltext bestellen

Predictive Performance Comparison of Decision Policies Under Confounding von Guerdan, Luke, Coston, Amanda, Holstein, Kenneth, Wu, Zhiwei Steven

Volltext bestellen

The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals von Kawakami, Anna, Coston, Amanda, Zhu, Haiyi, Heidari, Hoda, Holstein, Kenneth

Volltext

Counterfactual Prediction Under Outcome Measurement Error von Guerdan, Luke, Coston, Amanda, Holstein, Kenneth, Wu, Zhiwei Steven

Volltext

Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design von Kawakami, Anna, Coston, Amanda, Zhu, Haiyi, Heidari, Hoda, Holstein, Kenneth

Volltext bestellen

Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making von Guerdan, Luke, Coston, Amanda, Wu, Zhiwei Steven, Holstein, Kenneth

Volltext bestellen

Characterizing Fairness Over the Set of Good Models Under Selective Labels von Coston, Amanda, Rambachan, Ashesh, Chouldechova, Alexandra

Volltext bestellen

A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms von Coston, Amanda, Kawakami, Anna, Zhu, Haiyi, Holstein, Ken, Heidari, Hoda

Volltext bestellen

Counterfactual Predictions under Runtime Confounding von Coston, Amanda, Kennedy, Edward H, Chouldechova, Alexandra

Volltext bestellen

Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding von Rambachan, Ashesh, Coston, Amanda, Kennedy, Edward

Volltext

The role of the geometric mean in case-control studies von Coston, Amanda, Kennedy, Edward H

Volltext

Examining risks of racial biases in NLP tools for child protective services von Field, Anjalie, Coston, Amanda, Gandhi, Nupoor, Chouldechova, Alexandra, Putnam-Hornstein, Emily, Steier, David, Tsvetkov, Yulia

Volltext

Proceedings of NeurIPS 2019 Workshop on Machine Learning for the Developing World: Challenges and Risks of ML4D von De-Arteaga, Maria, Afonja, Tejumade, Coston, Amanda

Volltext bestellen

Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact von De-Arteaga, Maria, Coston, Amanda, Herlands, William

Volltext bestellen

Predictive Performance Comparison of Decision Policies Under Confounding von Guerdan, Luke, Coston, Amanda, Holstein, Kenneth, Wu, Zhiwei Steven

Volltext