Displaying 6 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.

AI in Healthcare: From Science Fiction to Reality
The webinar will cover pros, cons, possible attention points and benefits of AI for patients.

Automation of public services & Robotics: how public authorities can deal with it
This 3-hour workshop focused on the procurement of ICT solutions that deal with the automation of public services & robotics.
– What regulatory requirements shall Innovation Procurement projects consider?
– How can public procurers maximize the

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.

Trustworthiness of AI applications in public sector
Public trust is a key component for the adoption and diffusion of newly emerging technologies, even more in the case of citizens’ everyday interaction with public administrations.