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Training Material

The training material, displayed in this website, is made freely available to users under the terms of the Creative Commons Attribution 4.0.

AI bias: overview, measurement, mitigation and application to computer vision

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Fairness-Aware ML Tutorial Series

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#6 Behind the Algorithm

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#5 Rethinking AI

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D5.4 Final DCE and Policy Report

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D4.2 Stakeholder Evaluation of System, Processes and Results

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D4.1 Evaluation and Mitigation of Bias in the Use Cases

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Final Press Release

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Protected attribute inventory for additional domains

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D3.3 Methods and Algorithms for Multidimensional Fairness in Multi-attribute Networks

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Traveling exhibit

Digital Dilemmas: AI and the Invisible Biases’ is a traveling exhibit, designed to raise awareness, inform individuals about the pervasive...

Intro to AI Biases

This brief presentation can be used as an introductory lecture to AI ethics classes, science cafes, workshops, or masterclasses. It...

Infographics

These infographics explore the three use cases of MAMMOth: finance, face verification, and academic citations. They require no supervision, making...

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