nobias technology full details
Champion:
Miriam Fernandez
Professor in Responsible Artificial Intelligence
Participant(s):Harith Alani, Paula Reyero-Lobo
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NoBias
Artificial Intelligence without Bias
NoBIAS aims to develop novel methods for AI-based decision making without bias by taking into account ethical and legal considerations in the design of technical solutions. The core objectives of NoBIAS are to understand legal, social and technical challenges of bias in AI-decision making, to counter them by developing fairness-aware algorithms, to automatically explain AI results, and to document the overall process for data provenance and transparency.
Partners
- Leibniz University of Hannover
- GESIS
- Schufa
- CERTH
- University of Pisa
- University of Southampton
- KU LEUVEN
News
21 Sep 2026
01 Sep 2026
28 Aug 2026
22 Jul 2026
10 Jul 2026
Ntoutsi, E., Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M.E., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., Kompatsiaris, I., Kinder-Kurlanda, K., Wagner, C., Karimi, F., Fernandez, M., Alani, H., Berendt, B., Kruegel, T., Heinze, C., Broelemann, K., Kasneci, G., Tiropanis, T. and Staab, S. (2020). Bias in data-driven artificial intelligence systems - An introductory survey. WIREs Data Mining and Knowledge Discovery, 10(3), https://oro.open.ac.uk/69181/.
