ADR Awareness Centre

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.

The webinar will cover pros, cons, possible attention points and benefits of AI for patients.

This webinar addressed the profound impact of AI, and decision-making algorithms, on human rights.