Ensuring System-Level Safety & Environmental Decision-Making

While Functional Safety (FuSA) addresses the system level safety adherence, Safety of the Intended Functionality (SoTIF) focuses on ensuring the system can accurately perceive and respond to its environment. This includes:

• Sensor Perception: Making sure sensors like cameras and radar detect the environment accurately
• Decision making: Ensuring the system can predict and respond to potential hazards
• Minimizing False Negatives: Reducing instances where the system fails to detect a hazard.

Cybersecurity complements both by protecting the system from external threats, analyzing and implementing measures to mitigate risks in connected vehicles.

ISO 8800: Extending FuSA & SoTIF for AI-Based Systems

ISO8800 serves as an extension for both FuSA and SoTIF, encompassing the entire safety life cycle of AI based systems. It remains agnostic to the specific AI/ML/DL technologies deployed and is generic and not limited to automated driving, though it is one of the prominent use cases. This standard aims to instil stakeholder confidence in the deployment of autonomous systems particularly in road safety for the different categories involved whether it is Level 3+ autonomy or last – mile delivery.

Defining Safety Requirements: The starting point is to define the safety requirements, for a simple and straight forward example the correct identification of traffic signs under adverse weather conditions. It includes the necessary metrics for the application and any limitations in the deployed AI model.

ISO 8800 also covers potential dataset errors, and any associated limitations or biases providing guidelines to address these issues. Identifying edge cases and ensuring safety in these scenarios is a crucial consideration.