2021 EDITION

Hybrid AI: how knowledge models are essential for trustworthy AI

December 1, 2021 - 15:00 - 16:30
Tracks
Industrial and Trustworthy AI
Type
Online
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The session starts with 3-4 introductions of application areas and methodologies that center around Hybrid AI. In an interactive session, the aim is then to identify the main challenges for take-up of hybrid AI. The outcomes of the session will be used as inputs for the H2020 ICT48 projects (specifically TAILOR) that define the roadmap for European AI, and may also be serve as inputs for newly developed Horizon proposals.

The objective of the session is to outline the importance of knowledge models for trustworthy AI. A lot of attention is going to data-driven AI applications, but there are many cases where this problematic due to lack of adequate data. In the light of the proposed AI Regulation by the European Commission and the 7 principles of responsible AI as formulated by the High Level Expert Group, this session will give examples and approaches how hybrid AI contributes to trustworthy applications.

SPEAKERS OF THIS SESSION
Christian Müller
at DFKI
Freek Bomhof
Senior Consultant at TNO
Paolo Giudici
Professor of Statistics and Data Science at the Department of Economics and Management at Università di Pavia
Tommaso Mannucci
Research Scientist at TNO
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