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Artificial Intelligence (AT) is a term used to describe machines performing human-like cognitive functions (e.g. learning, understanding, reasoning or interacting). It comprises different forms of cognition and meaning understanding (e.g. Speech recognition, natural Language processing) and human interaction (e.g. signal sensing, smart control, simulators). In terms of its technology base AT is a very heterogeneous field. While some aspects like sensors, chips, robots as well as certain applications like autonomous driving, logistics or medical instruments refer to hardware components, a relevant part of AI is rooted in algorithms and software.

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Collaborative robots, human-AI systems and the role for policy

This report focuses on analysing the consequences of artificial intelligence (AI) and robotics-based automation on industry and work, the related human-machine systems and human-computer interaction, and the need for policy to support a positive transition and mitigate the potential risks. Automa

Leading the Digital Decade

“What should the future of digital in Europe be?”, “What should our 2030 goals be when it comes to digital transformation?” and “How can we make sure we meet our objectives?”