Abstract
There have been few attempts, so far, to document the history of artificial intelligence. It is argued that the “historical sociology of scientific knowledge” can provide a broad historiographical approach for the history of AI, particularly as it has proved fruitful within the history of science in recent years. The article shows how the sociology of knowledge can inform and enrich four types of project within the history of AI; organizational history; AI viewed as technology; AI viewed as cognitive science and historical biography. In the latter area the historical treatments of Darwin and Turing are compared to warn against the pitfalls of “rational reconstructions” of the past.
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Adam, A.E. What can the history of AI learn from the history of science?. AI & Soc 4, 232–241 (1990). https://doi.org/10.1007/BF01889942
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DOI: https://doi.org/10.1007/BF01889942