NOVEMBER OF ARTIFICIAL INTELLIGENCE
Alina Sergeevna Zaykova
Institute of Philosophy and Law, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
Keywords: science, artificial intelligence, philosophy of AI, AI winter, AI spring, neural networks, generative models, Lighthill report, ALPAC report
Abstract
The term “artificial intelligence winter” was coined by analogy with the term “nuclear winter” to describe the chain reaction caused by experts’ pessimistic forecasts and resulting in a drastic decline in AI research. Later on, the term “AI winter,” influenced by the concept of “hype cycle,” began to describe the investment cycle of AI research and only became stronger with coining the term “AI spring” as a synonym for “AI boom.” Over the past few years, several researchers have been predicting an AI winter and warning of potential problems following the “peak of inflated expectations.” However, a more thorough analysis shows that predicting an AI winter does not take into account some factors, the key ones being institutional and economic, as well as ignores the fundamentally different approach of modern society to AI research. This means that even with the advent of “AI November,” the winter of basic AI research will not come in the near future.
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