UDC 004.89
DOI: 10.36871/2618-9976.2023.10-2.002

Authors

Anton N. Pronin,
Director General, D.I. Mendeleyev Institute for Metrology; vicepresident of the Metrological Academy; member of the Coordination Council under the Governor for Standardization, Metrology and Testing; Saint Petersburg, Russia
Roald Ye. Taymanov,
Head of laboratory for metrological maintenance of computerised sensors and measuring systems, D.I. Mendeleyev Institute for Metrology; Full member of the Metrological Academy; IMEKO TC 7 member; ICMI member; Editorial Advisory Board member: International Journal on Advances in Systems and Measurements, Soft Measurements and Computing; Saint Petersburg, Russia
Kseniia V. Sapozhnikova,
Deputy head of laboratory for metrological maintenance of computerised sensors and measuring systems, D.I. Mendeleyev Institute for Metrology; Corresponding member of the Metrological Academy; IMEKO TC 7 member; ICMI member; Editorial Advisory Board member: Sensors & Transducers Journal, Soft Measurements and Computing; Saint Petersburg, Russia

Abstract

The Russian LongTerm Standardization Program for 2021–2024 includes two projects to launch a set of national standards "Measuring Instruments (MIs) and Measuring Systems (MSs) Based on Artificial Intelligence (AI)". These standards will unify approaches to multiparametric measurement quantities that characterise the unmanned vehicles movement, the robotic equipment state, human health, the level of knowledge and abilities, etc. The article shows the terminology problems in the field of AI and gives relevant suggestions. The main and additional components of the AIbased MIs and MSs are highlighted, and examples of their structure at different levels are given. Particular attention is given to ensuring the metrological health of equipment through metrological self-check procedures. The authors emphasise that AIbased MIs and MSs are subject to verification, calibration, and type approval. The prospect of strong AI highlights the need for relatively regular learning and self-learning of MIs and MSs as well as testing and validation of results.

Keywords

Artificial intelligence, Terms and definitions, Metrological self-check, Learning, Self-learning, Metrological self-check