Abstract
This paper provides an overview of the current state in the development of artificial intelligence (AI) systems. It is discussed that an ideal AI system should imitate (support the development) of all the characteristics (cognitive procedures) of natural intelligence. Moreover, not all characteristics of natural intelligence can be automated; some of them can be realized only using human-computer interactions. An important property of AI systems is the integration of cognitive procedures among themselves. Thus, the AI system should support the implementation of a subset (as large as possible) of natural intelligence procedures. Moreover, all procedures should be understandable to a person (described in his or her system of concepts), and the connection between them should be “seamless” way to ensure their integration. The paper identifies and substantiates the requirements for tools for creating AI systems. It is proposed to evaluate the AI system by the number of cognitive procedures that it implements. At the same time, given the complexity of tools, its developers need to develop a set of requirements for compatibility and integration of tools and AI systems of various types.
The research is carried out with the partial financial support of the Russian Foundation for Basic Research (projects 19-07-00244 and 20-07-00670).
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Gribova, V. (2020). Tools and Technologies for Artificial Intelligence Systems. What Should They Be?. In: Golenkov, V., Krasnoproshin, V., Golovko, V., Azarov, E. (eds) Open Semantic Technologies for Intelligent System. OSTIS 2020. Communications in Computer and Information Science, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-60447-9_2
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