Unpacking AI and Cybersecurity for Mobility: The Characteristics and Applications of Artificial Intelligence

In higher education, artificial intelligence is often associated with research aids or chatbot tools like the recently released ChatGPT. However, AI-based systems have applications far beyond scanning primary source documents or organizing data. In the case of the mobility sector, AI now plays a major role in planes, cars, and delivery systems, leading to questions of regulation, safety, and research support for this highly emergent field.

In the second episode of this four-part series, Adrian Guan, Product Manager at SAE International, discusses the distinct characteristics of artificial intelligence, its effects on mobility, and how SAE develops AI standards and research. First, Adrian provides a fascinating introduction to the mechanics of AI, explaining its data-based, machine learning process. He then walks through AI’s potential impacts on the mobility sector, highlighting use cases in aerospace and on the ground—adaptive cruise control, delivery robots, and driving education simulators, in addition to the many projects currently in the production or prototype stages. Last, Adrian underscores the importance of safety and equity in AI design for mobility, and touches on the challenges of bridging the gaps between different sectors of the mobility field utilizing AI.

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