Displaying 7 resources

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.

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.

Understanding artificial intelligence ethics and safety
This guide provides end-to-end guidance on how to apply principles of AI ethics and safety to the design
and implementation of algorithmic systems in the public sector.

AI in practice and implementation strategies
This session deals with the implementation of AI in public sector organisations. It will asks panelists to reflect on the challenges for implementing AI in the public sector, and how to address them.