The rapid integration of Artificial Intelligence (AI) into software systems across many domains, including critical ones such as healthcare, transportation, and public administration, has intensified the need for robust, reliable, and transparent quality evaluation methods. While numerous standards and regulatory 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 status, 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.