AI-FAIR Lab is part of the ROBUST program on Trustworthy AI-based Systems for Sustainable Growth which is financed under the NWO LTP funding scheme.
The AI-FAIR Lab is committed to contributing towards Sustainable Development Goal 3, Target 3.6. The lab aims on developing deep data-driven in-vehicle technologies that can predict and prevent potential collisions in dynamic and complex traffic situations, with a particular focus on protecting vulnerable road users. The effectiveness of these technologies will be demonstrated through controlled field tests, which provide quantifiable indicators of their impact on traffic safety. The ultimate goal of the AI-FAIR Lab is to increase trust in deep data-driven in-vehicle technologies and drive their adoption by the automotive industry. By bringing forward novel AI algorithms and system designs based on the results of our research, we hope to influence the design of in-vehicle technologies and ultimately contribute to the overall goal of reducing the number of global deaths and injuries from road traffic accidents.
Our efforts also align with Sustainable Development Goal 11, Target 11.2: provide access to safe, affordable, accessible, and sustainable transport systems for all. By modernizing and improving the infrastructure of the automotive industry through the development and implementation of AI solutions, we aim to drive innovation and efficiency in the sector.