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Algorithmic Fairness: A Tolerance Perspective
Recent advancements in machine learning and deep learning have brought algorithmic
fairness into sharp focus, illuminating concerns over discriminatory decision making that …
fairness into sharp focus, illuminating concerns over discriminatory decision making that …
Properties of group fairness measures for rankings
In recent years, several measures have been developed for evaluating group fairness of
rankings. Given that these measures were developed with different application contexts and …
rankings. Given that these measures were developed with different application contexts and …
Unraveling privacy risks of individual fairness in graph neural networks
Graph neural networks (GNNs) have gained significant attraction due to their expansive real-
world applications. To build trustworthy GNNs, two aspects-fairness and privacy-have …
world applications. To build trustworthy GNNs, two aspects-fairness and privacy-have …
Fair Top-k Query on Alpha-Fairness
The traditional top-k query was proposed to obtain a small subset from the database
according to the user preference, which is explicitly expressed as a ranking scheme (ie …
according to the user preference, which is explicitly expressed as a ranking scheme (ie …
Evaluation of IR Systems
4.1 Information retrieval (IR) system performance can be evaluated from two different
standpoints: efficiency and effectiveness. Efficiency is concerned with the algorithmic costs …
standpoints: efficiency and effectiveness. Efficiency is concerned with the algorithmic costs …
[PDF][PDF] Dissatisfaction Induced by Pairwise Swaps.
Fairness is increasingly recognized as an important property of information access systems.
Pairwise fairness is a measure of equity in ranking whose normative grounding has not …
Pairwise fairness is a measure of equity in ranking whose normative grounding has not …
Algorithmic Fairness Datasets: Curation, Selection, and Applications
A Fabris - 2023 - tesidottorato.depositolegale.it
This thesis supports measurements of algorithmic fairness from a data-centric perspective.
First, we tackle the problem of dataset selection, highlighting misguided practices prevalent …
First, we tackle the problem of dataset selection, highlighting misguided practices prevalent …
[PDF][PDF] A Search Engine for Algorithmic Fairness Datasets.
Algorithmic equity is a key desideratum for systems embedded in a diverse society
producing data with embedded patterns of discrimination. This data is leveraged in …
producing data with embedded patterns of discrimination. This data is leveraged in …