O.Y. Veprytska, V.S. Kharchenko

Èlektron. model. 2022, 44(5):36-50


Existing artificial intelligence (AI) services provided by cloud providers (Artificial Intelligence as a Service (AIaaS)) and their explainability have been studied. The characteristics and provision of objective evaluation of explainable AI as a service (eXplainable AI as a Service (XAIaaS)) are defined. AIaaS solutions provided by cloud providers Amazon Web Services, Google Cloud Platform and Microsoft Azure were analyzed. Non-functional requirements for XAIaaS evaluation of such systems have been formed. A model has been developed and an example of the quality assessment of an AI system for image detection of weapons has been provided, and an example of its metric assessment has been provided. Directions for further research: parameterization of explainability and its sub-characteristics for services, development of algorithms for determining metrics for evaluating the quality of AI and XAIaaS systems, development of means for ensuring explainability.


explainable artificial intelligence, AI as a Service, requirements for artificial intelligence, model of AI quality, metrics


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