Some of the main commercial engines of the massive resurgence of interest in AI over the last five years are already threatened by legislative, political and economic factors. It’s a grim prospect, since the bursting of the AI bubble would recall the AI winter of the 1970s. If the current groundswell of interest in artificial intelligence should peak and then abate, the field risks to suffer the same kind of ‘false dawn’ which virtual reality experienced in the early 1990s, as business gradually realizes that the enabling technologies and milestones might be a decade or more away. In the AI research and application sphere there’s evident tension between the need to maintain excitement and funding, and the embarrassing truth that state-of-the-art neural networks are still extraordinarily experimental - or even merely conceptual. Does AI research need its own 'RealPlayer' to bridge the PR gap between research and applicability?
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January 2023
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