Who Knows Anything about Anything about AI?

In Russell Blackford & Damien Broderick (eds.), Intelligence Unbound. Wiley. pp. 46–60 (2014-08-11)
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Abstract

This chapter provides a classification scheme for artificial intelligence (AI) predictions, and tools for analyzing their reliability and uncertainties. It presents a series of brief case studies of some of the most famous AI predictions: the initial Dartmouth AI conference; Hubert Dreyfus' criticism of AI; Ray Kurzweil's predictions in The Age of Spiritual Machines; and Stephen Omohundro's AI Drives. The chapter takes every falsifiable statement about future AI to be a prediction. Thus the following four categories are all predictions: Timelines and outcome predictions, Scenarios, Plans, and Issues and metastatements. The following schema was suggested by a review of the AI predictions literature : Causal models, Non‐causal models, The outside view, Philosophical arguments, and Expert judgment. The chapter looks at four prominent AI predictions, and analyses their accuracy, attempting to gain insights that will be useful for assessing future prediction.

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