
This project develops a guideline for approving AI systems in quality control, ensuring compliance with regulations and stakeholder requirements. It includes an overview of relevant AI laws and standards, benchmarks approval approaches, and provides decision support for developing and maintaining compliant AI. The guideline is validated through a practical quality control use case within the ICNAP community.
| Topic Fields | |
| Published | 2025 | 
| Involved Institutes | |
| Project Type | ICNAP Community Study | 
| Result Type | |
| Responsibles | 
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