Work

What data do we need? – a model-based approach for scenario-driven dataset construction

Year: 2026

Type: article

Abstract: The increased use of Artificial Intelligence (AI) in safety-critical systems such as Automated Driving Systems (ADS) requires a reevaluation of established Systems and Safety Engineering processes to accommodate AI characteristics. Datasets determine an AI system’s (potentially hazardous) behavior significantly. Hence, ISO/PAS 8800 demands dataset requirements, safety analyses, and validation activities in an AI safety lifecycle. This article investigates commonalities between Safety Engineering Activities specified in ISO 21448 and dataset-related activities specified in ISO/PAS 8800. We introduce a model-based approach to support traceability from knowledge about an Operational Design Domain to required dataset requirements and data labels for training and testing AI systems in the scope of ISO/PAS 8800. The approach is demonstrated in an example safety analysis for an L4 hub-to-hub scenario.

Source: at - Automatisierungstechnik

DOI: 10.1515/auto-2025-0060

Authors: Marcus Nolte, Nayel Fabian Salem, Markus Maurer

Institutions: KTH Royal Institute of Technology, Technische Universität Braunschweig

Language: English

Topic: Safety Systems Engineering in Autonomy

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $2,712