A new microsite, Drive-Safe.ai, has been launched by Wayve in collaboration with WMG at the University of Warwick to share insights, research and tools focused on AI safety in automated driving technology.
Drive-Safe.ai is part of the broader DriveSafeAI initiative and serves as a central point for sharing information with industry professionals, researchers and policymakers. Using the new site, Wayve and WMG will publish information on new safety validation methods to instil confidence in regulators about AI used in autonomous vehicles. DriveSafeAI focuses on four pillars of technical AI safety assurance, covering scenario generation, architecture, model evaluation and sim validation.
The DriveSafeAI project is part of of the Centre for Connected and Autonomous Vehicles’ (CCAV) Commercialising CAM Supply Chain Competition (CCAMSC). This program is funded by the CCAV, a joint initiative of the Department for Business and Trade (DBT) and the Department for Transport (DfT), and is delivered in partnership with Innovate UK and Zenzic.
Dr Sarah Gates, director of public policy, Wayve, said, “DriveSafeAI is a model for developing evidenced-based safety frameworks that can build regulator and stakeholder confidence, driving innovation while ensuring the highest safety standards. This balanced approach enables safe technology development that will lead to safer roads and a more robust global AV market.”
Prof Siddartha Khastgir, head of safe autonomy, WMG, the University of Warwick, said, “Through DriveSafeAI, partnering with a leading embodied AI organization like Wayve, WMG can create a robust and novel safety approach to AI while enabling scalability and innovation. We are generating the scientific evidence to underpin industry-wide standards and international regulations for the safety of AI, building confidence in the AV ecosystem.”