Zeyu Tang (唐泽宇)
Ph.D. Candidate
Carnegie Mellon University (CMU)
K&L
Gates Presidential Fellow in Ethics and Computational Technologies
About Me
I am a PhD student at Department of Philosophy, Carnegie Mellon University, fortunately co-advised by Prof. Kun Zhang and Prof. Peter Spirtes. I am also a member of the CMU-CLeaR Group.
Research Interests
I strive to advance trustworthy and responsible AI. In particular, I conduct research on algorithmic fairness to model and understand the social impact of computing technologies, and also causal learning and reasoning to further enhance the capacity of intelligent systems. As an ultimate goal, I would like to pursue the safe and principled development of machine intelligence with the help of causality, so that technologies can improve our lives in a responsible and effective way.
News
January 2024 | Our paper “Procedural Fairness Through Decoupling Objectionable Data Generating Components” is accepted to ICLR 2024 (Spotlight). We reveal and address the often-overlooked issue of disguised procedural unfairness. Our proposal consists of the value instantiation rule and the appropriate reference point configurations. |
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May 2023 | Our survey and reflection article on algorithmic fairness is accepted to ACM Computing Surveys. We review fairness notions, draw connections to moral and political philosophy, and reflect on the role of causality in ML fairness. |
May 2023 | Our paper “Model Transferability With Responsive Decision Subjects” is accepted to ICML 2023. We formulate the distribution shift induced by the deployment of the predictor itself, and analyze the interaction between the model and the responsive subjects. |