Базова модель нефункційних характеристик для оцінки якості штучного інтелекту

Q3 Computer Science Radioelectronic and Computer Systems Pub Date : 2022-05-18 DOI:10.32620/reks.2022.2.11
V. Kharchenko, H. Fesenko, O. Illiashenko
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引用次数: 1

Abstract

The subject of the research is the models of artificial intelligence (AI) quality. The current paper develops an AI quality model based on the definition and ordering of its characteristics. Objectives: to develop the principles and justify the sequence of analysis and development of AI quality models as ordered sets of characteristics; to offer models of AI quality for further use, first, the evaluation of individual characteristics and quality in general; to demonstrate the profiling of AI quality models for systems using artificial intelligence. The following results were obtained. The sequence of construction of AI quality models is offered. Based on the analysis of references, a list of AI characteristics was formed and their definitions were harmonized. The general model of AI quality is presented with a description of the step-by-step procedure for the realization of its hierarchical construction. A basic model of AI with abbreviated sets of characteristics is proposed due to its importance. Examples of profiling of quality models for two systems - monitoring of engineering communications and recognition of road signs are given. Conclusions. The study's main result is the development of a quality model for artificial intelligence, which is based on the analysis and harmonization of definitions and dependencies of quality characteristics specific to AI. The selection of characteristics and the construction of the quality model were carried out in such a way to exclude duplication, ensure the completeness of the presentation, as well as to determine the specific features of each characteristic. It is extremely difficult to create a model that would fully meet such requirements, so the presented options should be supplemented and improved considering the rapid development of technologies and applications of AI. The proposed quality models are open and can be supplemented and detailed according to the specific purpose and scope of AI.
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研究的主题是人工智能(AI)质量模型。本文在定义和排序人工智能特征的基础上,开发了一个人工智能质量模型。目标:制定人工智能质量模型作为有序特征集的分析和开发顺序,并证明其合理性;提供人工智能质量模型以供进一步使用,首先,评估个人特征和总体质量;以演示使用人工智能的系统的人工智能质量模型的概况。获得以下结果。给出了人工智能质量模型的构建顺序。根据对参考文献的分析,形成了人工智能特征清单,并对其定义进行了统一。提出了人工智能质量的通用模型,并描述了实现其层次结构的分步过程。由于其重要性,提出了一个具有缩写特征集的人工智能基本模型。给出了工程通信监控和路标识别两个系统的质量模型分析示例。结论。该研究的主要结果是开发了一个人工智能质量模型,该模型基于人工智能特有的质量特征的定义和相关性的分析和协调。特征的选择和质量模型的构建是以排除重复、确保演示的完整性、,以及确定每个特征的特定特征。创建一个完全满足这些要求的模型是极其困难的,因此考虑到人工智能技术和应用的快速发展,应该对所提出的选项进行补充和改进。所提出的质量模型是开放的,可以根据人工智能的具体目的和范围进行补充和详细说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radioelectronic and Computer Systems
Radioelectronic and Computer Systems Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
3.60
自引率
0.00%
发文量
50
审稿时长
2 weeks
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