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AI winter
Period of reduced funding and interest in AI research
AI winter
In the history of artificial intelligence (AI), an AI winter is a period of reduced funding and interest in AI research. The field has experienced several hype cycles, followed by disappointment and criticism, followed by funding cuts, followed by renewed interest years or even decades later. The term first appeared in 1984 as the topic of a panel discussion at the annual meeting of AAAI (then called the "American Association of Artificial Intelligence"). Roger Schank and John McDermott—two leading AI researchers who experienced the "winter" of the 1970s—warned the business community that enthusiasm for AI had spiraled out of control in the 1980s and that disappointment could certainly follow. They described a chain reaction, similar to a "nuclear winter", that would begin with pessimism in the AI community, followed by pessimism in the press, followed by a severe cutback in funding, followed by the end of serious research. Three years later the billion-dollar AI industry began to collapse...
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