REFLEXÕES SOBRE A INTELIGÊNCIA ARTIFICIAL NA AGENDA 2030 PARA O DESENVOLVIMENTO SUSTENTÁVEL

Sthéfano Bruno Santos Divino

Resumo


RESUMO

O presente artigo tem como problema de pesquisa o seguinte questionamento: como a Inteligência Artificial (IA) pode contribuir para o cumprimento das metas da Agenda 2030 para o Desenvolvimento sustentável? A primeira seção se incumbe da demonstração das possíveis utilizações da IA para o efetivo atingimento dos Objetivos de Desenvolvimento Sustentável (ODS). Neste momento, destacam-se os aspectos positivos e os aspectos negativos na utilização da IA. Na segunda seção, realiza-se um estudo sobre os atos normativos de alguns países sobre as possíveis implicações negativas e regulamentais da IA para com a sociedade. Para tanto, utiliza-se os métodos dedutivo e de pesquisa integrada. Ao final, demonstra-se que a IA apresenta-se como importante fator da equação posta pela Agenda 2030, desde que devidamente observada e regulada.

PALAVRAS-CHAVE: Agenda 2030; Inteligência Artificial; Desenvolvimento Sustentável.

 

ABSTRACT

This article has as a research problem the following question: how can Artificial Intelligence (AI) contribute to meeting the goals of the 2030 Agenda for Sustainable Development? The first section is responsible for demonstrating the possible uses of AI for the effective achievement of the Sustainable Development Goals (SDGs). At this moment, the positive and negative aspects in the use of AI are highlighted. In the second section, a study is carried out on the normative acts of some countries on the possible negative and regulatory implications of AI for society. For this, the deductive and integrated research methods are used. In the end, it is shown that AI presents itself as an important factor in the equation posed by Agenda 2030, as long as it is properly observed and regulated.

Keywords: Agenda 2030; Artificial intelligence; Sustainable development.


Palavras-chave


Agenda 2030; Inteligência Artificial; Desenvolvimento Sustentável.

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Referências


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DOI: https://doi.org/10.14210/rdp.v16n1.p30-64

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