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FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms


Apr 01, 2022
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi

* This work has been accepted as a regular paper in IEEE Transactions on Computational Social Systems 2022 (IEEE TCSS'22) 

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Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers


Feb 09, 2022
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi

* This work has been accepted at The Web Conference 2022 (WWW'22) 

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Two-Face: Adversarial Audit of Commercial Face Recognition Systems


Nov 17, 2021
Siddharth D Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee

* This work has been accepted for publication at ICWSM 2022 

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Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization


Feb 02, 2021
Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh

* This work has been accepted at International Workshop on Fair and Interpretable Learning Algorithms 2020 (FILA 2020), which was held in conjunction with IEEE BigData 2020 

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When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces


Feb 02, 2021
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi

* This work has been accepted for presentation at the ACM Conference on Fairness, Accountability, and Transparency 2021 (ACM FAccT 2021) 

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Image Clustering without Ground Truth


Oct 25, 2016
Abhisek Dash, Sujoy Chatterjee, Tripti Prasad, Malay Bhattacharyya

* GroupSight Workshop, Fourth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016), Austin, USA 

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