ARTIFICIAL INTELLIGENCE IN TECHNOLOGY TRANSFER: REGULATORY CHALLENGES AND IMPLICATIONS FOR INNOVATION ECOSYSTEMS IN BRAZIL

DESAFIOS REGULATÓRIOS E IMPLICAÇÕES PARA OS ECOSSISTEMAS DE INOVAÇÃO NO BRASIL

Abstract

This article analyzes the interactions between artificial intelligence and technology transfer processes within innovation ecosystems in Brazil, with an emphasis on the associated regulatory challenges. The objective of the study is to examine how the use of artificial intelligence-based technologies influences the generation, management, and dissemination of technological knowledge between scientific institutions and the productive sector. This research adopts a qualitative and exploratory approach, based on a bibliographic review and documentary analysis of specialized literature and national and international regulatory frameworks related to innovation and artificial intelligence governance. The findings indicate that AI-based tools enhance the capacity to analyze scientific and technological data, supporting decision-making processes and strengthening institutional mechanisms for innovation management. However, the study also identifies regulatory gaps and challenges related to technological governance, particularly concerning transparency, accountability, and the secure use of automated systems. It is concluded that the strategic integration of artificial intelligence can improve technology transfer processes, provided that it is supported by consolidated regulatory and institutional guidelines that ensure its ethical, safe, and responsible use. The study contributes by highlighting the need for alignment between innovation policies and artificial intelligence governance structures in the Brazilian context.