ISO/IEC 人工智能工程质量标准

IF 13.3 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Computer Science Review Pub Date : 2024-09-14 DOI:10.1016/j.cosrev.2024.100681

Jesús Oviedo , Moisés Rodriguez , Andrea Trenta , Dino Cannas , Domenico Natale , Mario Piattini

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引用次数: 0

摘要

人工智能（AI）在企业的数字化转型中发挥着至关重要的作用，人工智能应用的影响力与日俱增。在此背景下，开发这些人工智能系统以确保其有效运行和使用变得越来越重要。为此，近年来出台了许多国际标准。本文对这些标准（主要是 ISO/IEC 定义的标准）进行了广泛评述，尤其侧重于软件方面：流程和产品质量层面；以及集成了人工智能系统的应用程序的数据质量层面。

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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ISO/IEC quality standards for AI engineering

Artificial Intelligence (AI) plays a crucial role in the digital transformation of organizations, with the influence of AI applications expanding daily. Given this context, the development of these AI systems to guarantee their effective operation and usage is becoming more essential. To this end, numerous international standards have been introduced in recent years. This paper offers a broad review of these standards (mainly those defined by ISO/IEC), with a particular focus on the software aspects: at the level of process and product quality; and at the level of data quality of applications integrating AI systems.

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来源期刊

Computer Science Review Computer Science-General Computer Science

CiteScore

32.70

自引率

0.00%

发文量

审稿时长

51 days

期刊介绍： Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.