A INTELIGÊNCIA ARTIFICIAL (IA) APLICADA EM PROPOSTAS DE LICITAÇÕES E CONTRATOS
This article deals with public bidding and contracts. The bidding process, regardless of the chosen modality, as established by law, aims to find the proposal considered most advantageous for the public administration, taking into account criteria and principles previously defined by the Federal Constitution of 1988 (CF/88), and which has as its historical landmark Law No. 8,666/93, now fully replaced by Law No. 14,133/21, which provides for the methods and methodologies for public agents to carry out contracts. The objective is to recognize the importance of using Artificial Intelligence (AI) in public bidding and contract proposals. As a methodology, this article involves qualitative, descriptive research, and a bibliographic review was chosen because it is a method that allows the use of previously published material on the subject, serving as a theoretical basis for the study, which sought publications in Scielo, Google Scholar, Revista de Administração de Empresas (RAE) and Revista de Administração Contemporânea (RAC). The present study presents as a result that AI is implemented to simulate human intelligence, capable of causing great impacts on public administration and its strategies. Currently, many types of AI software and applications are revolutionizing the workflows of government agencies, such as ChatGPT, machine learning, robotics, blockchain and algorithms. By implementing AI in bids and contracts, public administration will be able to track and monitor the following phases of the process, analyze and prepare proposals, prices, risks, detect fraud and ensure that everything occurs with greater transparency, obtaining, as a consequence, a reduction in the possibility of corruption.
Authors
- Rafaella Christina Gomes
Publication Details
- Journal
- Revista fisio&terapia.
- Published
- 2024-10-31
- DOI
- https://doi.org/10.69849/revistaft/ni10202410311157
- Primary Topic
- Artificial Intelligence in Law
- Type
- article
- Field-Weighted Citation Impact
- 0.00