How AI can be surprisingly dangerous for the philosophy of mathematics— and of science

Autores

  • Walter Carnielli ISTC-CNR Laboratory for Applied Ontology- Trento, Italy and Centre for Logic, Epistemology and the History of Science University of Campinas - Unicamp, Campinas, SP, Brazil

DOI:

https://doi.org/10.23925/1980-7651.2021v27;p01-12

Palavras-chave:

Machine learning, Artificial Intelligence, Philosophy of science, Justification, Interpretability

Resumo

In addition to the obvious social and ethical risks, there are philosophical hazards behind artificial intelligence and machine learning. I try to raise here some critical points that might counteract some naive optimism, and warn against the possibility that synthetic intelligence may surreptitiously influence the agenda of science before we can realize it.

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Publicado

2021-07-15

Edição

v. 27 (2021)

Seção

Artigos Originais

Licença

https://creativecommons.org/licenses/by-sa/4.0/legalcode