Posters

Towards a Computational Foundation for Fair Network Learning
Hanghang Tong, University of Illinois Urbana-Champaign; My T. Thai, University of Florida; Ross Maciejewski, Arizona State University

Quantifying Direct and Indirect Consequences of Racial Disparities in Outcomes Following Cardiac Surgery
Ilya Shpitser, Johns Hopkins University; Daniel Malinsky, Columbia University; Glenn Whitman, Johns Hopkins University; Marc Sussman, Johns Hopkins University

Addressing the 3D Challenges for Data-Driven Fairness: Deficiency, Dynamics, and Disagreement
Brian Ziebart, University of Illinois at Chicago, Tanya Berger-Wolf , Ohio State University, Ian Kash, University of Illinois at Chicago, Mesrob Ohannessian, University of Illinois at Chicago, Xinhua Zhang, University of Illinois at Chicago

FairGame: An Audit-Driven Game Theoretic Framework for Development and Certification of Fair AI
Yevgeniy Vorobeychik, Sanmay Das, Brendan Juba, Roman Garnett, Chien-Ju Ho, Washington University in St. Louis

Building a Fair Recommender System for Foster Care Services within the Constraints of a Sociotechnical System
Kenneth Joseph, Melanie Sage, Atri Rudra, Huei-Yen Chen, Varun Chandola, Maria Rodriguez, University at Buffalo

Fairness-Aware Algorithms for Network Analysis of Fair AI
Pang-Ning Tan, Abdol-Hossein Esfahanian, Michigan State University; Jianpeng Xu, Walmart Labs

Toward Fairness in Deep Neural Networks with Learning Interpretation
Xia "Ben" Hu, James Caverlee, Chaitanyna Lakkimsetti, Na Zou, Texas A & M University

Auditing and Ensuring Fairness in Hard-to-Identify Settings
Nathan Kallus, Cornell University; Tiffany Bergin; New York Criminal Justice Agency

Advancing Fairness in AI with Human Algorithm Collaborations
Steve Wu, Alexandra Chouldechova, Haiyi Zhu, Carnegie Mellon University; Min Kyung Lee, University of Texas at Austin

Identifying, Measuring, and Mitigating Fairness Issues in AI
Chris Clifton (CS), Murat Kantarcioglu (UT Dallas CSE), Blase Ur (U Chicago CS), Lindsay Weinberg (STS), Chris Yeomans (Philosophy)