Position paper – Artificial Intelligence in the automobile industry
The European Commission recently announced plans to present a horizontal proposal on Artificial Intelligence (AI) in the first quarter of 2021. Moreover, the Commission might also revise existing EU legislation on product safety and liability, the Machinery Directive and its intellectual property rights regime to address potential risks stemming from AI technology.
That is why the European Automobile Manufacturers’ Association (ACEA) has developed a position paper on the approach of EU automobile manufacturers to Artificial Intelligence.
The aim of this new ACEA paper is twofold:
- Providing policymakers at EU level with recommendations to shape the upcoming AI regulatory and policy framework in a proportionate and flexible manner.
- Presenting an overview of AI technology in the automobile industry that emphasises the strategic value of AI for the whole sector.
ACEA believes that Artificial Intelligence holds enormous potential for the auto industry; when deployed in production and manufacturing processes, but especially when embedded in automotive technology and products such as motor vehicles.
In‐vehicle AI applications for Cooperative, Connected and Automated Mobility (CCAM) will play a crucial role in taking automated and autonomous driving to the next level. Besides automated vehicles, AI also has an important role to play in a wide variety of other applications. Think for example of safety features for vehicles (such as Advanced Driver Assistance Systems, as well as warning and ‘driver risk assessment’ systems), connectivity systems, infotainment systems and comfort functions.
Indeed, the widespread deployment of AI will make a major contribution to creating a safer, cleaner, more efficient and more reliable mobility ecosystem in Europe.
ACEA welcomes the European Commission’s aim to develop a European ecosystem of excellence and trust around Artificial Intelligence. Automobile manufacturers share the belief that the needs and benefits of humans, end‐users and society as a whole should be put at the core of AI deployment.
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