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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.
Article/Books/eBooks
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.
Video/Webinars
AI in Healthcare: From Science Fiction to Reality
The webinar will cover pros, cons, possible attention points and benefits of AI for patients.
Tutorial/How To/Guides
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.
Video/Webinars
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.