Serafina Kamp
I am a PhD candidate at the University of Michigan where I'm fortunate to be advised by Ben Fish and Elizabeth Bondi-Kelly. My research interests are in understanding the social and economic impacts of predictive algorithms using algorithmic game theory and online learning. I'm especially interested in labor market dynamics, including bargaining games, and understanding the mechanisms that create or amplify inequalities between groups of people here.
I co-organize the EAAMO Bridges working group on inequality with Sam Taggart. Recently, we've been exploring the effects of algorithms used in the public benefits domain, see our blog post for more details.
Access my CV and Google Scholar Profile
Papers
Working Papers
- Who Benefits from Salary Prediction Tools? A Simulation Study of Worker
Power and Wage Inequality in AI-Mediated Salary Negotiations
S Kamp, K Creel, S Fazelpour - Last-Iterate Convergence of No-Regret Learning for Equilibria in Bargaining Games(arxiv)
S Kamp, R Liebman, B Fish
Conference Papers
- Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring market with Symmetric Agents(arxiv,link)
S Kamp, B Fish (AAAI 2025)
Workshop Papers
- Beliefs, Relationships, and Equality: An Alternative Source of Discrimination in a Symmetric Hiring Market via Threats(pdf,link)
S Kamp, T Nkeng, V Riquelme, B Fish
International Workshops of ECML PKDD 2023 - Robustness of Fairness: An Experimental Analysis(pdf,link)
S Kamp, ALL Zhao, S Kutty
International Workshops of ECML PKDD 2021
Journal Papers
- Tablext: A combined neural network and heuristic based table extractor(link)
Z Colter, M Fayazi, Z Benameur-El Youbi, S Kamp, S Yu, R Dreslinski
Array 15, 100220
Preprints
- Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications(arxiv)
S Kamp, M Fayazi, Z Benameur-El, S Yu, R Dreslinski
arXiv preprint arXiv:2310.11644