Towards an Automated Art?

Capa do livro 'Towards an Automated Art?' com uma imagem de nuvens escuras ao fundo e o título em letras grandes na parte superior.

Towards an Automated Art? Learning Machines, Human Creativity and Uncertainty

 

Luis D. Rivero-Moreno (ed.) | orcid logo 16px https://orcid.org/0000-0002-0494-379X
Helena Barranha (ed.) | orcid logo 16px http://orcid.org/0000-0003-0250-1020

 

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Resumo / Abstract:

Recent advances in the development and global dissemination of artificial intelligence (AI) have fostered renewed debates concerning the relationship between art and digital technologies. Cultural practices are becoming increasingly controlled by algorithmic calculations and automated processes. It is reasonable to predict that, in the near future, AI systems may be capable of autonomous decision-making, producing new creative forms without direct human intervention.
Corporate and political discourses have largely normalised technology as neutral, unstoppable and universally beneficial. Nevertheless, such techno-deterministic approaches tend to be biased and to obscure the profound and often devastating social and environmental impacts of new technologies. As a counterpoint to such narratives, this book emphasises the fundamental importance of critical thinking in the interpretation, use and shaping of emerging technologies. The central question is not how AI can shape artistic practices, but rather how artists can lead the way towards more diverse, creative and humane technological development.

 

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Idioma: Inglês
Local de publicação: Lisboa, Portugal
Edição: Instituto de História da Arte, Faculdade de Ciências Sociais e Humanas da Universidade NOVA de Lisboa / IN2PAST – Laboratório Associado para a Investigação e Inovação em Património, Artes, Sustentabilidade e Território
Número de páginas: 139
ISBN: 
DOI: 
Ano: 2026
Edição: 1.ª
Como citar:
Rivero-Moreno, L.D. & Barranha, H. (eds.) (2026) Towards an Automated Art? Learning Machines, Human Creativity and Uncertainty. Lisbon: IHA-NOVA FCSH / IN2PAST. Online