Online Invited Seminar Talk

Machine-Assisted Human Decision Making

Laboratory of Digital and Computational Demography
Online Invited Seminar Talk, February 02, 2021

Nina Grgić-Hlača from the Max Planck Institute for Software Systems and the Max Planck Institute for Research on Collective Goods discussed how decision aids influence human decisions.

Abstract

Machine learning based decision aids are frequently used to assist human decision-makers in a variety of different domains, ranging from making bail decisions to medical diagnostics. The potential societal impact of these decisions has raised concerns about the fairness of algorithmic decision-making. However, these machine decision aids, as the name suggests, are not the final decision makers – they only assist human decision makers. Hence, when designing machine decision aids, it's important to go beyond focusing on the decision aid’s accuracy and fairness, and to consider how human decision-makers take its advice. In this talk, Nina Grgić-Hlača will discuss how ML-based decision aids influence human decisions, and which factors determine the magnitude of this influence.

About

Nina Grgić-Hlača is a PhD student at the Max Planck Institute for Software Systems and the Max Planck Institute for Research on Collective Goods, co-advised by Krishna P. Gummadi and Christoph Engel. Prior to joining the Max Planck Institutes, she obtained an MA in Information Science and Philosophy from the University of Zagreb, Croatia. In her research, Nina studies the interaction between humans and machine learning based systems. Her research focuses on two main topics: algorithmic fairness, and machine-assisted decision-making.