ISO 8800: Synthetic and Augmented Data — Safety Argument for Non-Real Samples

Date
2027-07-09
Location
Online
Host
Zach L

About this event

A live 30-minute expert session on Synthetic and Augmented Data — Safety Argument for Non-Real Samples (ISO 8800 — Safety & Artificial Intelligence). What We'll Cover: Where synthetic data fits in the ISO 8800 dataset lifecycle and why it needs its own validity argument The core method, step by step: generation-tool qualification, fidelity metrics, sim-to-real gap studies, blending ratios How synthetic-data justification maps to dataset requirements and the fidelity validation report produced Common mistakes: training on synthetic corner cases and testing on the same generator, hiding the reality gap The provenance tags and fidelity evidence an assessor expects for every synthetic slice Related topics: iso 8800 · iso pas 8800 · ai safety · road vehicles · automotive ai · functional safety

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About Functional Safety Foundations

This online session delivers expert-led instruction on the regulatory landscape and implementation approach for Functional Safety Foundations.

The cross-sector fundamentals underlying every functional safety standard: risk as severity × likelihood, the safety function concept, integrity levels, the safety lifecycle, and the split between random and systematic failures.

What it regulates

Shared vocabulary and reasoning: hazard → risk → risk reduction allocation → safety requirement → verified implementation → maintained integrity in operation.

Who must comply

Everyone entering the field — the conceptual base of the entire catalog.

Key requirements of Functional Safety Foundations

  • Hazard and risk fundamentals
  • Safety function anatomy: sensor-logic-actuator with defined safe state
  • Integrity ladders (SIL/PL/ASIL/DAL) as risk-reduction currencies
  • Random vs systematic failure treatment
  • Lifecycle and management of functional safety incl. competence

Key concepts: Functional Safety Foundations

Functional safety management
Planning, competence, documentation and assessment wrapped around technical work.
Random vs systematic
Hardware wear-out/chance failures quantified statistically versus design/process errors controlled by rigor.
Risk reduction allocation
Distributing required risk reduction among mechanical design, safeguards, control functions and procedures.
Safe state
The defined condition a function drives the equipment to on demand or fault.

Frequently asked questions: Functional Safety Foundations

Why can't testing alone prove safety?

Rare-event targets (like 1e-7/h) are unverifiable by test duration, and systematic errors evade random testing — hence the standards' dual machinery of quantified hardware analysis plus process rigor and independent assessment.

Standard information based on the published text of Functional Safety Foundations. Event content is provided by the host. For authoritative guidance, consult the official standard body.