Artificial Intelligence and the new level of human-machine interaction

Authors

DOI:

https://doi.org/10.23925/1984-3585.2022i26p6-43

Keywords:

Artificial intelligence, machine learning, large language models, human-machine interaction, culture, semiotic competence

Abstract

The paper presents some of the main aspects the undergoing revolution Arti- ficial Intelligence (AI) is experiencing, especially in natural language processing (NLP) due to machine learning. The objective is to demonstrate that large language models – like those powering ChatGPT – are decisive steps not only towards a stronger AI but towards a new technological frontier: machines are striding through the gates that give access the human world of culture. The semiotic competence to produce and un- derstand several modalities of signs (music, image, verbal language, etc.) of machines raises the human-machine interaction to a new level. The paper proposes a schema to analyze such recent advances in AI in the broader context of the technological evolution of machines. The schematic analysis serves to explore important questions concerning the risks and benefits of this new level of human-machine interaction.

Author Biographies

Gustavo Rick Amaral, Universidade Anhembi Morumbi

Semioticista e pesquisador do Centro Internacional de Estudos Peirceanos (CIEP/PUC-SP) e do grupo de pesquisa Transobjeto (TIDD-PUC-SP); doutor pelo Programa de Estudos Pós-Graduados em Tecnologias da Inteligência e Design Digital (TIDD) da PUC-SP (2014); professor dos cursos de Comunicação Social da Universidade Anhembi-Morumbi.

Fernando Xavier, Universidade de São Paulo

É cientista da computação e pesquisador do grupo de estudos em Saúde Planetária do Instituto de Estudos Avançados da USP, com pesquisas relacionadas à dengue e análise de dados de redes sociais. Doutorando pelo Programa de Engenharia Elétrica da Escola Politécnica da USP. Atualmente, é engenheiro de dados na TOTVS.

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Published

2023-08-06