Inteligencia artificial: impactos y desafíos en las contrataciones públicas. Revisión sistemática

Artificial Intelligence (AI) has generated diverse impacts and challenges in public procurement processes, with its application being fundamental for economic development and social inclusion. This is justified by the persistence of corruption, regulatory barriers, and the lack of state sustainability. The objective was to analyze factors that affect efficiency, transparency, inclusion, sustainability, technological innovation, regulations, and internal economic development. The methodology applied a systematic review based on articles indexed in Scopus, using thematic, geographic, and language filters, reaching 50 relevant studies from countries such as Brazil, the United States, Canada, Peru, Mexico, and others. The results revealed that AI identified the centralization of powers that limits the transparency and efficiency of public spending. Corruption was a structural problem in Latin America, while in the US, it demonstrated transparency and cost sustainability, achieving successful initiatives. AI, as part of technological innovation, improved effi­ciency, although it faced implementation challenges, managing to reach the conclusion, on the grounds for development, reducing regulatory obstacles that limited its effectiveness in public management.