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The philosophy of artificial intelligence is a branch of the philosophy of mind and the philosophy of computer science [1] that explores artificial intelligence and its implications for knowledge and understanding of intelligence, ethics, consciousness, epistemology, and free will.
Moravec's paradox is the observation in the fields of artificial intelligence and robotics that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception skills require enormous computational resources.
Book cover of the 1979 paperback edition. Hubert Dreyfus was a critic of artificial intelligence research. In a series of papers and books, including Alchemy and AI, What Computers Can't Do (1972; 1979; 1992) and Mind over Machine, he presented a pessimistic assessment of AI's progress and a critique of the philosophical foundations of the field.
Called the “godfather of artificial intelligence," Bengio, 60, is a Canadian computer scientist who has devoted his research to neural networks and deep learning algorithms.
The letter highlights both the positive and negative effects of artificial intelligence. [7] According to Bloomberg Business, Professor Max Tegmark of MIT circulated the letter in order to find common ground between signatories who consider super intelligent AI a significant existential risk, and signatories such as Professor Oren Etzioni, who believe the AI field was being "impugned" by a one ...
Zijiao Chen can read your mind, with a little help from powerful artificial intelligence and an fMRI machine. Chen, a doctoral student at the National University of Singapore, is part of a team of ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Mitchell argues that achieving superintelligence would require that machines acquire commonsense reasoning abilities that are nowhere in sight: "Today's AI is far from general intelligence, and I don’t believe that machine 'superintelligence' is anywhere on the horizon." Mitchell addresses 13 pages to "Trustworthy and Ethical AI".
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