The Irrelevance of the Turing Test in Current Deep Learning
Vol.22,No.2(2021)
Abstract
Keywords:
deep learning (DL); artificial intelligence (AI); Turing test; intelligence; learning; training data; language
The role of artificial intelligence in the Turing test is to imitate human beings to such an extent that people will not realize it is a machine. With the rise of deep learning (a subcategory of AI), the situation is changing rapidly as the new systems do not focus on imitating human intelligence but emphasize thorough solutions to specific issues. The main difference between predefined AI and deep learning (DL) is that these systems are self-learning and have verifiable results. Firstly, we need to analyse the application of the Turing test in the Loebner Prize because, there, the primary emphasis is on aspects of human intelligence – learning, reasoning and understanding. Secondly, in the Turing test, only general intelligence is considered, and this can be questionable. If DL does not possess this form of intelligence, by this reasoning, we should consider it unintelligent. However, is such understanding correct? The third and last aspect questions whether the Turing test is beneficial for an AI designed for specific tasks because the results do not bring any new data and conclusions.
deep learning (DL); artificial intelligence (AI); Turing test; intelligence; learning; training data; language
Author biography
Ondrej Hriadel
Katedra filozofie a aplikovanej filozofie Filozofická fakulta Univerzity sv. Cyrila a Metoda v Trnave Nám. J. Herdu 2 917 01 Trnava Slovensko
Katedra filozofie a aplikovanej filozofie
Filozofická fakulta Univerzity sv. Cyrila a Metoda v Trnave
Nám. J. Herdu 2
917 01 Trnava
Slovensko
Pozícia:
Interný doktorand
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Copyright © 2021 Ondrej Hriadel