Barbara Grosz, David Gray Grant, Kate Vredenburgh, Jeff Behrends, Lily Hu, Alison Simmons, and Jim Waldo. Forthcoming. “Embedded EthiCS: Integrating Ethics Broadly Across Computer Science Education.” Communications of the ACM.
Lily Hu, Nicole Immorlica, and Jennifer Wortman Vaughan. 2/2019. “The Disparate Effects of Strategic Manipulation.” In ACM Conference on Fairness, Accountability, and Transparency. Atlanta, Georgia.
Ben Green and Lily Hu. 7/2018. “The Myth in the Methodology: Towards a Recontextualization of Fairness in Machine Learning.” Machine Learning: The Debates workshop at the 35th International Conference on Machine Learning (ICML). Stockholm, Sweden.
Lily Hu and Yiling Chen. 7/2018. “Welfare and Distributional Impacts of Fair Classification.” In Fairness, Accountability, and Transparency in Machine Learning (FATML). Stockholm, Sweden.
Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, and Milind Tambe. 7/2018. “Activating the "Breakfast Club": Modeling Influence Spread in Natural-World Social Networks.” Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Stockholm, Sweden: International Foundation for Autonomous Agents and Multiagent Systems.
Lily Hu and Yiling Chen. 4/2018. “A Short-term Intervention for Long-term Fairness in the Labor Market.” The Web Conference (WWW) 4/2018. Lyon, France: IW3C2.
Lily Hu. 2/2018. “Justice Beyond Utility in Artificial Intelligence.” Artificial Intelligence, Ethics, and Society (AIES). New Orleans: AAAI/ACM.
Lily Hu and Yiling Chen. 2017. “Fairness at Equilibrium in the Labor Market.” Fairness, Accountability, and Transparency in Machine Learning (FATML). Halifax, Nova Scotia. arXiv
Lily Hu, Alison Hill, and Martin Nowak. 7/2/2015. “Modeling HIV Treatment: Gene Therapy Strategies for Functional Cure of HIV.” Society for Mathematical Biology. Atlanta, Georgia.