ISO 21448: SOTIF for AI/ML Components — Insufficiencies of Learned Functions and the ISO 8800 Bridge
- Date
- 2026-10-05
- Location
- Online
- Host
- Zach L
About this event
A live 30-minute expert session on SOTIF for AI/ML Components — Insufficiencies of Learned Functions and the ISO 8800 Bridge (ISO 21448 — Safety of the Intended Functionality). What We'll Cover: Why ML components generate SOTIF-type insufficiencies without faults and where they enter the ISO 21448 analysis The method step by step: training-data ODD coverage review, robustness and OOD testing, uncertainty calibration checks, and triggering-condition pairing per failure mode How ML evidence maps to ISO 21448 Clause 7 and 10 and aligns with ISO/PAS 8800 AI-safety lifecycle artifacts Common mistakes: accuracy metrics presented as safety evidence, test sets drawn from training distribution only, no retraining impact analysis The traceability auditors want: dataset-to-ODD mapping, per-failure-mode test evidence, and a controlled retraining and re-validation process Related topics: machine learning safety · iso 8800 · distribution shift · out of distribution detection · neural network robustness · uncertainty calibration · training data coverage · ml insufficiency · ai in adas · dataset odd mapping · retraining impact · learned function validation · ml failure modes · safety of ai Critical Systems Analysis provides embedded functional safety consulting for ISO 21448 — Safety of the Intended Functionality. Learn more: https://criticalsystemsanalysis.com Partner with us: https://meetings.hubspot.com/benjamin-twombly/strategic-partnerships