Page 110 - AI Standards for Global Impact: From Governance to Action

AI Standards for Global Impact: From Governance to Action

15 Future Networked Car Symposium 2025

The Opening ceremony set the tone for the day by emphasizing the strategic role of AI in
shaping the future of safe, sustainable, and inclusive mobility. Speakers highlighted the vital
need for collaboration among UN bodies, standards bodies, industry leaders, and the research
community to address the complex challenges of AI adoption in the automotive sector. Speakers
also underscored the importance of standardization, data sharing, and road safety to sustainable
development. The opening session launched the symposium with a strong call for coordinated
action and shared global responsibility. All the presentations can be accessed here.

15�1 How AI can improve mobility for a better future

AI is revolutionizing the mobility landscape, potentially offering unprecedented benefits in
safety, efficiency, and user experience. A primary motivation for autonomous vehicles (AVs)
integrating AI and robotics is improving road safety, as human error is the cause of the majority
of traffic crashes. This session discussed how AI can help optimize traffic management, enhance
vehicle safety through predictive maintenance and collision avoidance systems, and personalize
mobility services to meet individual needs.

15�2 The revolution of AI automotive systems infrastructure

AI is touching all points in the automotive industry from vehicle design, manufacturing,
marketing, and hiring to the functioning of in-vehicle systems. In-vehicle systems, too, are being
transformed from digital assistants and contextually enhanced experiences to automated and
semi-automated driving and collision-avoidance technology.

This session focused on the technical infrastructure required to deliver AI benefits in automotive
systems and on the development of guidelines, standards, and regulations for automotive AI.

For example, BMW’s Panoramic Vision is a new heads-up display that projects information, such
as vehicle speed, onto windshields. It uses AI to track the driver’s eye movements to ensure
that information always appears in a clear, easy-to-see location that will not interfere with the
view of the road. The most important information appears in a darkened section at the base
of the windshield, while less important data are projected slightly higher onto a clear section.
The technology can automatically determine when certain information should be displayed in a
priority spot. For instance, it prominently displays navigational information to help with parking
when a driver is looking for or entering a parking spot.

15�3 AI automotive applications ethics and their human elements

As AI becomes integral to automotive systems, ethical considerations surrounding human
oversight, data privacy, and equitable access come to the forefront. This session explored
how AI can support human drivers without overwhelming them, the importance of prioritizing
certain types of vehicle data for sharing, and the need for ethical fail-safes in case of system
malfunctions.

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