The labor market was a setting increasingly disrupted by AI (both in the allocation of wages and of jobs) and yet understudied in the ethical AI research space. My research agenda was focused on combining unsupervised learning methods from network theory with discrete choice tools in order to improve the understanding of labor market dynamics and consequently promote evidence for oversight and regulation toward labor market fairness.
AI also shaped the lives of households through mortgages. I was also interested in exploring interpretability and fairness questions related to AI automated decisions in the mortgage industry, in partnership with the Rocket Companies. In addition to topics related to the nature of mortgage decision algorithms, I also planned to explore the impact of mortgage decisions on opportunities in life.