


Human-Centered AI for Autonomous Vehicles
This lecture overviews human-centric AI methods that can be utilized to facilitate visual interaction between humans and autonomous vehicles (e.g., through gestures captured by RGB cameras), in order to ensure their safe and successful cooperation

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

An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering
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.



AI Studies
AI is a rapidly emerging field that has opened up new vistas of innovation and creativity. From intelligent systems to self-driving cars, AI has transformed the way we live and work.

Labour-saving technologies and employment levels
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.

Designing a Rights-Based Global Index on Responsible AI
A frameworks have been developed that set out core ethical principles to be upheld as the technology is designed, developed, used, and evaluated.