This initiative falls within the framework of SDAIA's efforts to enrich Arabic content, spread technical awareness, standardize scientific terminology and concepts, and facilitate access to information needed by researchers, specialists, media professionals, and others concerned with these fields, in a way consistent with the objectives of Saudi Vision 2030.

The glossary was prepared by specialized national staff in the Saudi Data and Artificial Intelligence Authority (SDAIA), reviewed and approved by a committee formed in cooperation with King Salman International Complex for the Arabic Language. Its membership also includes experts and consultants in the technical and linguistic field, as per a methodology consisting of four main stages: collecting terms and their definitions from 20 reliable sources, the translation of terms and their definitions in an accurate contextual manner, and technical review by experts and specialists in the data and artificial intelligence, and finally linguistic review by a team of linguists to ensure that terms and definitions are accurately reflected.

The importance of launching this dictionary comes in light of the increased interest in data science and artificial intelligence, and the expansion of the development of relevant applications in various health, educational, security, commercial, industrial, and other fields, since many of the technical terms and concepts in these areas are not scientifically and accurately defined, especially in Arabic content, in addition to the lack of specialized Arabic sources.

This dictionary will contribute to enriching the Arabic content of data and artificial intelligence, and spreading the culture of advanced technologies enabling digital transformation, which will be under continuous revision to keep pace with technical developments, to be a main permanent reference for specialists and those interested in these areas at the local and global levels.

The dictionary can be viewed and downloaded via the following link: https://sdaia.gov.sa/files/Data_and_AI_Glossary.pdf