4.4 Editorial Material

A Human in the Loop: AI won't Surpass Human Intelligence Anytime Soon

期刊

IEEE SPECTRUM
卷 58, 期 10, 页码 48-49

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MSPEC.2021.9563963

关键词

Training; Digital computers; Heuristic algorithms; Neural networks; Prediction algorithms; Cognition; Artificial intelligence

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Artificial intelligence has gone through several waves of investment, with early researchers predicting the arrival of human-level intelligent machines and exploring different technological paths. However, despite advancements in training algorithms and technology, intelligent machines have not yet been able to completely replace humans.
We are well into the third wave of major investment in artificial intelligence. So it's a fine time to take a historical perspective on the current success of AI. In the 1960s, the early AI researchers often breathlessly predicted that human-level intelligent machines were only 10 years away. That form of AI was based on logical reasoning with symbols, and was carried out with what today seem like ludicrously slow digital computers. Those same researchers considered and rejected neural networks. center dot In the 1980s, AI's second age was based on two technologies: rule-based expert systems-a more heuristic form of symbol-based logical reasoning-and a resurgence in neural networks triggered by the emergence of new training algorithms. Again, there were breathless predictions about the end of human dominance in intelligence.

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