626 citations · 636 across the 7 of their papers we have counts for
6 papers
Taking Advice from (Dis)Similar Machines: The Impact of Human-Machine Similarity on Machine-Assisted Decision-Making
Nina Grgić-Hlača, Claude Castelluccia, Krishna P. Gummadi
Machine learning algorithms are increasingly used to assist human decision-making. When the goal of machine assistance is to improve the accuracy of human decisions, it might seem…
Towards Fair Recommendation in Two-Sided Platforms
Arpita Biswas, Gourab K Patro, Niloy Ganguly +2
Many online platforms today (such as Amazon, Netflix, Spotify, LinkedIn, and AirBnB) can be thought of as two-sided markets with producers and customers of goods and services. Trad…
On Fair Selection in the Presence of Implicit and Differential Variance
Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi +1
Discrimination in selection problems such as hiring or college admission is often explained by implicit bias from the decision maker against disadvantaged demographic groups. In th…
The Case for Temporal Transparency: Detecting Policy Change Events in Black-Box Decision Making Systems
Miguel Ferreira, Muhammad Bilal Zafar, Krishna P. Gummadi
Bringing transparency to black-box decision making systems (DMS) has been a topic of increasing research interest in recent years. Traditional active and passive approaches to make…
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez +1
Automated data-driven decision making systems are increasingly being used to assist, or even replace humans in many settings. These systems function by learning from historical dec…
Quantifying Information Overload in Social Media and its Impact on Social Contagions
Manuel Gomez Rodriguez, Krishna Gummadi, Bernhard Schoelkopf
Information overload has become an ubiquitous problem in modern society. Social media users and microbloggers receive an endless flow of information, often at a rate far higher tha…