Funding: Volkswagen Stiftung
Project duration: 01.12.2018 — 30.11.2022

AI techniques based on big data and algorithmic processing are increasingly used to guide decisions in important societal spheres, including hiring decisions, university admissions, loan granting, and crime prediction. However, there are growing concerns with regard to the epistemic and normative quality of AI evaluations and predictions. Our shared research question is: How can standards of unbiased attitudes and non-discriminatory practices be met in big data analysis and algorithm-based decision-making? In approaching this question, we will provide philosophical analyses of the relevant concepts and principles in the context of AI (bias, discrimination, fairness), investigate their adequate reception in pertinent legal frameworks (data protection, consumer, competition, anti-discrimination law), and develop concrete technical solutions (debiasing strategies, discrimination detection procedures etc.).

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