Connected And Autonomous Vehicles: Protecting Data And Machine Learning Innovations

The development of connected and autonomous vehicles (CAVs) is technology-driven and data-centric. Zenzic’s Roadmap to 2030 highlights that 'the intelligence of self-driving vehicles is driven by advanced features such as artificial intelligence (AI) or machine learning (ML) techniques'. Developers of connected and automated mobility (CAM) technologies are engineering advances in machine learning and machine analysis techniques that can create valuable, potentially life-saving, insights from the massive well of data that is being generated.

Diego Black and Lucy Pegler take a look at the legal and regulatory issues involved in protecting data and innovations in CAVs.

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