ARTIFICIAL INTELLIGENCE AND METADATA

Abstract

Artificial intelligence (AI) and metadata are transforming data management in multiple sectors. AI, with its capacity for machine learning and processing of large volumes of information, allows for more efficient and accurate data management. Metadata, which is data about other data, makes it easier to organize, search and use information. The combination of AI and metadata offers significant benefits in terms of practical applications and process optimization. This paper examines the applications and benefits of this combination, addressing how AI improves data quality and automates processes, while metadata provides context and makes it easier to find information. Ethical and privacy challenges are also discussed, highlighting the need for transparency, accountability and data protection in the use of AI and metadata. The optimization of computer systems through AI and metadata is explored, improving operational efficiency, security and service personalization. The review concludes that, despite the challenges, the integration of AI and metadata offers significant opportunities to innovate and improve the functionality of systems, promoting more efficient data management and informed decisions.

Keywords: Artificial intelligence, metadata, ethics.