Building confidence in AI-based AV ecosystem

Wayve and WMG at the University of Warwick have launched the Drive-Safe.ai site as part of the same-titled project (funded by the CCAV¹) to share information on AI safety in automated driving with industry professionals, researchers and policymakers.

“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.”

Dr Sarah Gates, director of public policy, Wayve

DriveSafeAI will publish insights, research and tools on new safety validation methods to instill confidence in regulators about AI used in autonomous vehicles. The project focuses on four pillars of technical AI safety assurance:

1. Scenario generation
2. Architecture
3. Model evaluation
4. Sim validation

According to Prof Siddartha Khastgir, head of safe autonomy, WMG, the University of Warwick, the project is generating the scientific evidence to underpin industry-wide standards and international regulations for the safety of AI, building confidence in the AV ecosystem.

Source: The original article was published here

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¹ UK Centre for Connected and Autonomous Vehicles – under the Commercialising CAM Supply Chain Competition (CCAMSC) program, a joint initiative of the Department for Business and Trade (DBT) and the Department for Transport (DfT), delivered in partnership with Innovate UK and Zenzic.