Description
- Course ID:
- IC-808/02-E-11
- Content:
- Introduction and purpose of ISO/PAS 8800
- Relationship to ISO 26262 and ISO 21448 (SOTIF)
- Safety challenges related to AI and Machine Learning
- Data quality, uncertainty, and bias in training data
- Building a safety case for AI components
- Risk analysis and mitigation strategies
- Verification and validation of AI systems
- Case studies and group exercises
- Prerequisites:
- Basic knowledge of functional safety (e.g., ISO 26262)
- General understanding of Machine Learning / Artificial Intelligence
- Experience with safety-relevant automotive systems is beneficial
- Certification Requirement:
- Without certification option
- Conduction Method:
- Online (For on-site or in-house training, please send us a request via our contact form (Contact - intellcert). We will get in touch with you shortly thereafter.)
- Language:
- English
- Target Audience:
- Development engineers in ADAS and autonomous systems
- AI/ML developers in the automotive sector
- Systems and safety engineers
- Project managers in the AD/ADAS domain
- Learning Objectives:
- After completing this training, participants will be able to:
- Understand the goals and scope of ISO/PAS 8800
- Distinguish between traditional and AI-specific safety risks
- Identify critical aspects of AI behavior relevant to safety
- Apply assurance strategies for ML models
- Assess the impact of data quality and uncertainty on safety
- Integrate ISO/PAS 8800 into development processes
- Structure and present a basic AI safety case
- After completing this training, participants will be able to:
- Note:
- Displayed price excl. VAT
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