4 search results for “biases” in the Public website
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Reliable and Fair Machine Learning for Risk Assessment
The focus of this thesis is on the technical methods which help promote the movement towards Trustworthy AI, specifically within the Inspectorate of the Netherlands.
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eLaw presented the Horizon Europe BIAS project during the 'Algorithms for Her?' conference
Carlotta Rigotti and Dr Eduard Fosch-Villaronga from Leiden University presented the Horizon Europe BIAS project and its preliminary findings on fairness and diversity biases of AI applications in the labour market during the 'Algorithms for Her?' conference.
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The BIAS Project at the Webinar on Intersectional Fairness in AI
Carlotta Rigotti, Postdoc researcher at eLaw, participated in the ‘Intersectional Fairness in AI: Legal Frameworks, Tools, and Learning Opportunities’ webinar on 10 December 2024.
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Kind, clever and hardworking: school reports are not without bias
White girls receive significantly more positive comments from their teachers in their primary school reports than white boys and children from migrant backgrounds. PhD candidate Antoinette Kroes researched subtle biases in different contexts and saw how harmful these can be.