Artificial Intelligence (AI)-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and anytime entailing risks, such as being denied a credit, a job, a medical treatment, or specific news. Businesses might miss chances, because biases make AI-driven decisions underperform; much worse, they may contravene human rights when treating people unfairly.
Bias may arise at all stages of AI-based decision making processes: (i) when data is collected, (ii) when algorithms turn data into decision making capacity, or (iii) when results of decision making are used in applications. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in the training, design and deployment of AI algorithms to ensure social good while still benefiting
from the potential of AI.
NoBIAS will 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. 

NoBIAS – Artificial Intelligence without Bias is a Marie Skłodowska-Curie Innovative Training Network (ITN) starting on 1 January 2020.

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.

Project website: https://nobias-project.eu/