ADR Awareness Centre

This Adra-e deliverable presents an analysis of the externalities surrounding acceptability and trustworthiness in ADR-supported innovative technologies.

Discover the world of mobility data spaces in this online course tailored for mobility professionals with a solid background in mobility planning, operations, data, and management.

When deployed, machine-learning (ML) adoption depends on its ability to actually deliver the expected service safely, and to meet user expectations in terms of quality and continuity of service.

This paper exploits natural language processing techniques to detect explicit labour-saving goals in inventive efforts in robotics and assess their relevance for different occupational profiles and the impact on employment levels.

A frameworks have been developed that set out core ethical principles to be upheld as the technology is designed, developed, used, and evaluated.

This webinar addresses the ethics of AI in healthcare.