NoBIAS: AI without BIAS

1. Project details

• Project full name: AI without BIAS
• Project acronym: NoBIAS
• Funding period: 01.01.2020 — 31.12.2024
• Funding body: The project is funded by European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 860630.
• Homepage: NoBIAS

2. Team

• Prof. Dr. Eirini Ntoutsi
• MSc. Siamak Ghodsi
• MSc. Alaa Elobaid
• MSc. Simone Fabbrizzi

3. Project overview

The core objective of NoBIAS is to research and develop novel methods for AI-based decision making without bias. NoBIAS will deliver a cohort of 15 researchers trained to identify biased and discriminating AI-decision making and able to provide solutions that reconcile and fully exploit AI while ensuring compliance with legal and social norms.

The interdisciplinary NoBIAS consortium consists of eight organizations including a non-academic one spread across five European states with leading expertise in artificial intelligence, law and sociology. The network is complemented with ten associated non-academic partners from different application domains including banks and healthcare.

5. Publications

• Naumann, P., & Ntoutsi, E. (2021, September). Consequence-aware Sequential Counterfactual Generation. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (pp. 682-698). Springer, Cham.
• Cai, Y., Zimek, A., & Ntoutsi, E. (2021, October). XPROAX-Local explanations for text classification with progressive neighborhood approximation. In 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA) (pp. 1-10). IEEE.