activity
20192024
most citedAccounting for Model Uncertainty in Algorithmic Discrimination

12 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024

(De)Noise: Moderating the Inconsistency Between Human Decision-Makers

Nina Grgić-Hlača, Junaid Ali, Krishna P. Gummadi +1

Prior research in psychology has found that people's decisions are often inconsistent. An individual's decisions vary across time, and decisions vary even more across people. Incon…

cs.CV2023★ 7 cited

Evaluating the Fairness of Discriminative Foundation Models in Computer Vision

Junaid Ali, Matthaeus Kleindessner, Florian Wenzel +3

We propose a novel taxonomy for bias evaluation of discriminative foundation models, such as Contrastive Language-Pretraining (CLIP), that are used for labeling tasks. We then syst…

cs.LG2021★ 12 cited

Loss-Aversively Fair Classification

Junaid Ali, Muhammad Bilal Zafar, Adish Singla +1

The use of algorithmic (learning-based) decision making in scenarios that affect human lives has motivated a number of recent studies to investigate such decision making systems fo…

cs.LG2021★ 12 cited

Accounting for Model Uncertainty in Algorithmic Discrimination

Junaid Ali, Preethi Lahoti, Krishna P. Gummadi

Traditional approaches to ensure group fairness in algorithmic decision making aim to equalize ``total'' error rates for different subgroups in the population. In contrast, we argu…

cs.SI2019★ 7 cited

On the Fairness of Time-Critical Influence Maximization in Social Networks

Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty +3

Influence maximization has found applications in a wide range of real-world problems, for instance, viral marketing of products in an online social network, and information propaga…