AVISENSE R&D PORTFOLIO
TRUST-AI
Transformative Responsible Uptake & Systemic Trust for AI in Mobility
TRUST-AI is a European Union-funded project supported through the REINFORCING ORRI Incubator programme, bringing together two Greek partners: AviSense.ai and InterMediaKT. The project focuses on embedding Open and Responsible Res…
TRUST-AI is a European Union-funded project supported through the REINFORCING ORRI Incubator programme, bringing together two Greek partners: AviSense.ai and InterMediaKT. The project focuses on embedding Open and Responsible Research and Innovation (ORRI) principles into the design, development, and governance of AI-enabled mobility systems, with particular emphasis on Human-in-the-Loop Advanced Driver Assistance Systems (ADAS) and AR-based driver support technologies.
The main objective of TRUST-AI is to move beyond high-level ethical declarations and translate responsible AI principles into practical engineering, governance, and stakeholder engagement mechanisms. The project develops ethical and operational guidelines for AI-supported ADAS functions, addressing key issues such as explainability, driver override, consent, data governance, uncertainty communication, fairness, and accountability. These guidelines are aligned with emerging EU AI Act requirements and GDPR principles.
A core part of the project is the use of realistic mobility use cases, including cognitive readiness assessment and AR-based occlusion-aware situational awareness, to explore how AI systems should communicate information to drivers, preserve human agency, avoid over-reliance, and prevent misleading or intrusive system behaviour. Through participatory workshops, scenario cards, voting scales, and a Deliberative Digital Panel, citizens and experts contribute to defining acceptable boundaries and “red lines” for responsible AI intervention in mobility.
In TRUST-AI, AviSense plays the key technical role, leading the responsible AI and ADAS-related work. The company is responsible for mapping Human–AI interaction flows, analysing data and decision chains, developing the ethical and operational guidelines, preparing use case material, and translating stakeholder feedback into concrete design and governance requirements. AviSense also contributes to the development of the internal ORRI strategy, the Responsible Design Toolkit for AI engineers, and the evaluation framework.
Deliverables
D1.1 - Mapping report on AI integration and data use
D1.2 - Ethical and Operational Guidelines for Human-in-the-Loop ADAS and Driver Monitoring Systems