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.
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.
Bringing AI closer to citizens – smart communities
Cities, regions and local administrations increasingly represent testbeds for technological innovation and are adopting AI and digital solutions in an agile, efficient and citizen-centred manner.
AI in Healthcare: From Science Fiction to Reality
The webinar will cover pros, cons, possible attention points and benefits of AI for patients.