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Human-Centered AI for Autonomous Vehicles
This lecture overviews human-centric AI methods that can be utilized to facilitate visual interaction between humans and autonomous vehicles (e.g., through gestures captured by RGB cameras), in order to ensure their safe and successful cooperation in

Online course on Data Spaces for Mobility
Discover the world of mobility data spaces in this online course tailored for mobility professionals with a solid background in mobility planning, operations, data, and management.
This professional online training explores the dynamic world of Mobi



AI Studies
AI is a rapidly emerging field that has opened up new vistas of innovation and creativity. From intelligent systems to self-driving cars, AI has transformed the way we live and work.

The regulatory perspective
In this webinar, we heard from regulators at different administrative levels, practitioners and from academics about their experiences, needs and challenges.

Recommendation on the Ethics of Artificial Intelligence
This Recommendation aims to provide a basis to make AI systems work for the good of humanity, individuals, societies and the environment and ecosystems, and to prevent harm. It also aims at stimulating the peaceful use of AI systems.

What is the environmental footprint of artificial intelligence?
AI-enabled technologies have huge potential to support positive climate action. As the use of AI increases, governments and policy makers need to understand AI’s environmental impacts so that they can make evidence-based decisions.