A survey of existing standards addressing AI-based technologies

The rapid integration of Artificial Intelligence (AI) into software sys- tems across many domains, including critical ones such as healthcare, transporta- tion, and public administration, has intensified the need for robust, reliable, and transparent quality evaluation methods. While numerous standards and regula- tory initiatives have emerged and many more are being worked on, the current landscape remains fragmented with varying scopes, definitions, and enforcement mechanisms. This paper provides a structured, yet not exhaustive, overview of current international standards, regulatory instruments, and soft-law guidelines relevant to AI-based software quality evaluation. The purpose of this paper is to provide a starting point for practitioners and researchers for understanding the sta- tus, as well as the short-coming evolution, of the standards addressing AI-based technologies and for orienting their efforts to contribute to fill the existing lacks and weaknesses in the standard corpus.