| Grant number: | 19/21489-4 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | September 01, 2020 |
| End date: | August 31, 2024 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science |
| Principal Investigator: | Fabio Gagliardi Cozman |
| Grantee: | Bernardo Nunes Gonçalves |
| Host Institution: | Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Associated scholarship(s): | 22/16793-9 - Reconstructing Alan Turing's argument on machine consciousness, BE.EP.PD |
Abstract Recent advances in the Science and Technology of Artificial Intelligence (AI) have brought back a debate about the future of AI in society and culture. The studies about AI and society, nevertheless, do not yet pay much attention to the public debate that took place in the United Kingdom and the United States in the turn from the 1940's to the 1950's. A leading role was played back then by computer pioneers, specially by Alan Turing, who focused on the logical possibilities and limits of future machine capabilities and has made foundational contributions to the debate about the future of AI that are yet to be fully appreciated. In this project we aim at carrying out an in-depth analysis of those contributions. For instance, Turing relies on his anticipation of connectionism and learning machines to discuss machine evolution, and on his universal machine to discuss the scope of machine intelligence. He also refers multiple times to Samuel Butler's\emph{Erewhon}, in a discourse that is also ironic and may support utopian and/or dystopian interpretations but is usually dismissed on account of his use of sense of humor. A reconstruction of the logical structure of Turing's argument must build upon his Computer Science and should also connect elements of History, Philosophy and Literature. The public discussion about AI is in part repeating itself. By going back to Turing, we will be able to qualify the current debate about the future of AI by grounding it on the Computer Science and vision of one of its brightest figures. By following Turing's approach, our focus will be on the logical possibilities and limits of the machines of the future. (AU) | |
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