Displaying 13 resources
Seminar
Tutorial/How To/Guides
White paper
Oratione
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Video/Webinars
Webinar "Industry-driven Use Cases"
AI4REALNET project covers the perspective of AI-based solutions addressing critical systems (electricity, railway, and air traffic control), modelled by networks that can be simulated and traditionally operated by humans and where AI complements and
Video/Webinars
Webinar "Distributed and Hierarchical Reinforcement Learning"
In this webinar, AI4REALNET project provides an overview of two emerging topics in Reinforcement Learning (RL): Distributed RL and Hierarchical RL.
For both DRL and HRL, a general definition of the paradigm is provided, discussing the learning object
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.
Article/Books/eBooks
Should we fear the robot revolution? (The correct answer is yes)
Advances in artificial intelligence and robotics may be leading to a new industrial revolution. This paper presents a model with the minimum necessary features to analyze the implications for inequality and output.
Tutorial/How To/Guides
OECD AI Principles overview
The OECD AI Principles promote use of AI that is innovative and trustworthy and that respects human rights and democratic values. Adopted in May 2019, they set standards for AI that are practical and flexible enough to stand the test of time.
Video/Webinars
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.
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
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.