In the realm of road vehicles, the safety of AI-based systems is inextricably linked to the data used to develop them. ISO/PAS 8800 (Road Vehicles — Safety and Artificial Intelligence) provides a framework for ensuring that data integrity and quality are maintained throughout the AI lifecycle. Unlike traditional software where logic is explicitly coded, AI systems 'learn' from data, making the quality of that data a primary safety concern.

2. Key Definitions

• Data Integrity: The assurance that data remains accurate, complete, and consistent throughout its entire lifecycle, from collection to decommissioning.
• Data Quality: The fitness of data for its intended purpose in training, validating, and testing AI models within a specific Operational Design Domain (ODD).

3. Data Quality ...