Metrological AI Reliability Verification |
|---|
| Volker Zeuner, Gulian Couvreur |
- Abstract:
- Applications based on Artificial Intelligence (AI) are becoming useful tools in Metrology. The ability of, e.g., managing big amounts of devices or analysing Big Data using AI Applications (in the sense of Software) raises speditivity and accuracy of gaining metrological results as well as facilitates metrological analyses on a new scale. When AI is involved in measurement, decision making, classification, etc., it must be assured that the results are transparent, reproducible, comparable, and traceable, corresponding to the established metrological measurement requirements. Hence, the operation of AI Applications in Metrology should be subject to prior and periodic verification, regarding a classification of the AI types and their use scenarios (e.g., in Legal Metrology), their usage, and the expected results thereof.
- Download:
- IMEKO-TC6-2025-051.pdf
- DOI:
- 10.21014/tc6-2025.051
- Event details
- IMEKO TC:
- TC6
- Event name:
- TC6 M4Dconf2025
- Title:
2025 IMEKO TC-6 International Conference on Metrology and Digital Transformation
- Place:
- Benevento, ITALY
- Time:
- 03 September 2025 - 05 September 2025