Computational Group Selection

TL;DR

This paper discusses the challenges and research directions for computationally forming effective groups, emphasizing issues like bias and inequality, and proposing avenues for future study.

Contribution

It highlights key issues and proposes research directions to enable the computational formation of productive and fair groups.

Findings

Identifies biases and inequalities as critical challenges

Proposes multiple research avenues for group formation

Emphasizes the importance of fairness in computational group selection

Abstract

Humans spend a significant part of their lives being a part of groups. In this document we propose research directions that would make it possible to computationally form productive groups. We bring to light several issues that need to be addressed in the pursuit of this goal (not amplifying existing biases and inequality, for example), as well as multiple avenues to study that would help achieve us this task efficiently.