799 citations · 7.4k across the 102 of their papers we have counts for
8 papers · 1 filter
Roles for Computing in Social Change
Rediet Abebe, Solon Barocas, Jon Kleinberg +3
A recent normative turn in computer science has brought concerns about fairness, bias, and accountability to the core of the field. Yet recent scholarship has warned that much of t…
Measuring the Completeness of Theories
Drew Fudenberg, Jon Kleinberg, Annie Liang +1
We use machine learning to provide a tractable measure of the amount of predictable variation in the data that a theory captures, which we call its "completeness." We apply this me…
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan, Solon Barocas, Jon Kleinberg +1
There has been rapidly growing interest in the use of algorithms in hiring, especially as a means to address or mitigate bias. Yet, to date, little is known about how these methods…
Fairness and Utilization in Allocating Resources with Uncertain Demand
Kate Donahue, Jon Kleinberg
Resource allocation problems are a fundamental domain in which to evaluate the fairness properties of algorithms. The trade-offs between fairness and utilization have a long histor…
Planted Hitting Set Recovery in Hypergraphs
Ilya Amburg, Jon Kleinberg, Austin R. Benson
In various application areas, networked data is collected by measuring interactions involving some specific set of core nodes. This results in a network dataset containing the core…
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort
Maithra Raghu, Katy Blumer, Greg Corrado +3
In a wide array of areas, algorithms are matching and surpassing the performance of human experts, leading to consideration of the roles of human judgment and algorithmic predictio…