INTELIGÊNCIA ARTIFICIAL NO CENÁRIO JURÍDICO: PERSPECTIVAS E DESAFIOS NO CONTEXTO ATUAL BRASILEIRO

This will address the topic of Artificial Intelligence (AI) with a focus on the legal field, exploring the expectations and impacts of this technological advancement. The article discusses the current landscape of the AI market, highlighting the leadership of the United States and China, and Brazil's position within this context, analyzing its challenges and the consequences of technological progress in light of Brazilian state initiatives. Using a mixed methodology, the article is divided into three parts: the first, with an analytical approach, contextualizes the advent of AI and how it's being implemented; the second, based on documentary research, explores the perspectives and main impacts arising from this implementation; and the third, using a deductive methodology, analyzes the Brazilian State. The objective is to outline a panorama comparing the main powers in Artificial Intelligence with Brazil, making the implications and challenges of expansion visible.It concludes that AI advancement in Brazil is promising, especially with the adoption of AI through public policy practices by the Executive branch or its implementation by the Judiciary. However, the lack of a legal framework could expose the country to risks, emphasizing the need for a proactive stance to ensure Brazil keeps pace with innovations and capitalizes on the opportunities generated.

Authors

Publication Details

Journal
Revista fisio&terapia.
Published
2025-06-08
DOI
https://doi.org/10.69849/revistaft/ar10202506082144
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

INTELIGÊNCIA ARTIFICIAL NO CENÁRIO JURÍDICO: PERSPECTIVAS E DESAFIOS NO CONTEXTO ATUAL BRASILEIRO

Letícia Lourenço Sangaleto Terron, Donizeti Ap. Garcia Júnior
Revista fisio&terapia.
Ethics and Social Impacts of AI
article

INTELIGÊNCIA ARTIFICIAL NO CENÁRIO JURÍDICO: PERSPECTIVAS E DESAFIOS NO CONTEXTO ATUAL BRASILEIRO

Letícia Lourenço Sangaleto Terron, Donizeti Ap. Garcia Júnior
article en

Abstract

This will address the topic of Artificial Intelligence (AI) with a focus on the legal field, exploring the expectations and impacts of this technological advancement. The article discusses the current landscape of the AI market, highlighting the leadership of the United States and China, and Brazil's position within this context, analyzing its challenges and the consequences of technological progress in light of Brazilian state initiatives. Using a mixed methodology, the article is divided into three parts: the first, with an analytical approach, contextualizes the advent of AI and how it's being implemented; the second, based on documentary research, explores the perspectives and main impacts arising from this implementation; and the third, using a deductive methodology, analyzes the Brazilian State. The objective is to outline a panorama comparing the main powers in Artificial Intelligence with Brazil, making the implications and challenges of expansion visible.It concludes that AI advancement in Brazil is promising, especially with the adoption of AI through public policy practices by the Executive branch or its implementation by the Judiciary. However, the lack of a legal framework could expose the country to risks, emphasizing the need for a proactive stance to ensure Brazil keeps pace with innovations and capitalizes on the opportunities generated.

Revista fisio&terapia.Vol. 29(147)
Peace, Justice and strong institutions
Openalex Percentile: Top 88%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.