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02/14/2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
State-of-the-art AI models largely lack an understanding of the cause-ef...
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06/08/2022
Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation
With increasing digitalization, Artificial Intelligence (AI) is becoming...
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04/26/2022
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction
Recently, almost all conferences have moved to virtual mode due to the p...
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01/29/2022
Fair ranking: a critical review, challenges, and future directions
Ranking, recommendation, and retrieval systems are widely used in online...
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01/27/2022
Fairness implications of encoding protected categorical attributes
Protected attributes are often presented as categorical features that ne...
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12/26/2021
Towards Fair Recommendation in Two-Sided Platforms
Many online platforms today (such as Amazon, Netflix, Spotify, LinkedIn,...
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11/14/2020
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval
The proliferation of smartphones has led to the increased popularity of ...
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11/10/2020
Two-Sided Fairness in Non-Personalised Recommendations
Recommender systems are one of the most widely used services on several ...
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10/24/2020
On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction
The (COVID-19) pandemic-induced restrictions on travel and social gather...
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10/12/2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Decision-making systems increasingly orchestrate our world: how to inter...
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02/25/2020
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
We investigate the problem of fair recommendation in the context of two-...
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09/22/2019
Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations
Major online platforms today can be thought of as two-sided markets with...
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09/22/2019