Ben Fish

I am an Assistant Professor in Computer Science and Engineering at the University of Michigan. I develop methods for incorporating human values into machine learning and other computational systems, using tools from algorithmic game theory, the theory of machine learning, and the social sciences. I was previously at Mila and Microsoft Research, and completed my PhD at the University of Illinois at Chicago.

CV     Google Scholar page

selected papers (all papers)

On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks (open review)
Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T Schaub, and Danai Koutra
LoG 2023

It’s Not Fairness, and It’s Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games (arXiv)
Benjamin Fish and Luke Stark
EAAMO 2022

Gaps in Information Access in Social Networks (pdf)
Benjamin Fish, Ashkan Bashardoust, danah boyd, Sorelle A. Friedler, Carlos Scheidegger, and Suresh Venkatasubramanian
WWW 2019

A Confidence-Based Approach for Balancing Fairness and Accuracy (pdf)
Benjamin Fish, Jeremy Kun, and Adam D. Lelkes
SDM 2016

preprints

Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring market with Symmetric Agents
Serafina Kamp and Benjamin Fish
Manuscript

Who ParticipAItes? Analyzing Recruitment Strategies for Participatory AI and Facilitating Community Documentation
Gena Eugene Kim, Vaibhav Balloli, Berelian Karimian, Elizabeth Bondi-Kelly, and Benjamin Fish
Manuscript

teaching

Instructor, EECS 498/598: Foundations of Fairness in Machine Learning (Fall 2024)
Instructor, EECS 298: Introduction to the Social Consequences of Computing (Winter 2023, Winter 2024)
Instructor, EECS 376: Foundations of Computer Science (Fall 2023)
Instructor, EECS 492: Introduction to Artificial Intelligence (Fall 2021, Fall 2022)
Instructor, EECS 598: Social Consequences of Computing (Winter 2022)

phd students

Serafina Kamp, Ph.D. in progress

Eugene Kim, Ph.D. in progress