Critique Of The Interpretations And Prospects Of Artificial Intelligence

Abstract

The field of Artificial Intelligence has had a particular creative and productive period in recent years, drawing attention and further participation in its development from both researchers and business. Artificial Intelligence is said to be making progress on key benchmark tests and researchers are producing impressive and surprising machines. What interests us primarily as philosophers of Artificial intelligence is the interpretive meaning we give to these advances to the field, and whether human level general intelligence could ever be reproduced in a machine. In this paper, there will be a review of the dominant paradigms in the philosophy of artificial intelligence and various critique of their theories of mind and the views of artificial intelligence research and why they fail. There will be a proposal of a better meaning of intelligence and the Lovelace Test of machine intelligence that better encapsulates this meaning of intelligence. Lastly, there will be a demonstration of why serial computers have and will never pass the Lovelace Test and therefore never be intelligent.