Setback or correction
AI winters, failed programmes, retractions, influential critiques. Progress is not only forward.
8 milestones.
Second AI Winter
From approximately 1987 to 1993, AI research entered a second sustained contraction as commercial expert-system vendors collapsed, the Lisp machine market failed, and DARPA substantially reduced funding for AI programmes following unmet expectations from the preceding boom.
John Searle Publishes the Chinese Room Argument
In 1980, John Searle at the University of California, Berkeley published 'Minds, Brains, and Programs' in Behavioral and Brain Sciences, presenting the Chinese Room thought experiment to argue that executing a computer program is insufficient to produce understanding or intentionality, directly challenging claims of strong artificial intelligence.
First AI Winter: Lighthill Report and DARPA Funding Cuts
In 1973, James Lighthill's report for the British Science Research Council assessed artificial intelligence research and found it had failed to meet its goals; the report contributed to substantial funding cuts in the UK and, alongside DARPA reviews in the United States, precipitated the period known as the first AI winter.
Lighthill Report on Artificial Intelligence
In 1973, Sir James Lighthill, Lucasian Professor of Applied Mathematics at the University of Cambridge, delivered a report to the UK Science Research Council concluding that AI research had failed to meet its stated goals, citing the 'combinatorial explosion' as the decisive technical barrier. The report prompted sharp cuts to UK government funding for AI.
Perceptrons: An Introduction to Computational Geometry
In 1969, Marvin Minsky and Seymour Papert of MIT published Perceptrons: An Introduction to Computational Geometry, a formal mathematical analysis of single-layer perceptrons that demonstrated key limitations, notably the inability to compute non-linearly separable functions such as XOR, and contributed to a reduction in funding and research activity in connectionist approaches to AI.
The ALPAC Report on Machine Translation
In 1966, the Automatic Language Processing Advisory Committee (ALPAC), convened by the United States National Research Council, published a report concluding that machine translation was slower, less accurate, and twice as expensive as human translation, leading to a sharp reduction in US government funding for machine translation research.
Alchemy and Artificial Intelligence, RAND Corporation Memorandum by Hubert Dreyfus
In December 1965, Hubert Dreyfus, a philosopher at the Massachusetts Institute of Technology consulting for the RAND Corporation, published RAND Memorandum P-3244, 'Alchemy and Artificial Intelligence', arguing that the cognitive assumptions underlying contemporary AI research were philosophically untenable and that the field faced fundamental, not merely technical, limits.
Herbert A. Simon predicts machines will be capable of any work a human can do, within twenty years
In 1965, Herbert A. Simon of Carnegie Mellon University published 'The Shape of Automation for Men and Management', in which he predicted that machines would, within twenty years, be capable of performing any cognitive task a human could perform, a claim that became one of the most cited and scrutinised forecasts in the history of artificial intelligence.