HOW AI CAN REDUCE ERRORS AND SPEED UP PRODUCT APPROVAL WITHIN TECHNICAL STANDARDS

Abstract

This article presents an integrative systematic review on the application of Artificial Intelligence (AI) in product design with a focus on technical compliance with regulatory standards. In the face of increasing regulatory complexity in sectors such as engineering, healthcare, and technology, AI has proven to be an ally in automating processes such as reading standards, classifying products, and generating compliance reports. The research was conducted based on publications indexed between 2018 and 2024, using strict selection criteria. The results show the use of technologies such as language models, neuro-symbolic systems and generative algorithms, with emphasis on their contribution to the reduction of errors and rework. Significant barriers were also identified, such as the absence of empirical validation, ethical dilemmas and regulatory challenges, especially in the Brazilian context. Comparative analysis allows us to understand the most advanced sectors, the associated risks, and the importance of explainability as a pillar for reliable and safe AI.