Insiders' Critiques of AI Methods
AI researchers tend to be gung-ho people, happier trying to achieve
something than worrying about the hows and whys.
But sometimes it is worthwhile to step back and take perspective.
This page lists some discussions of the limitations of AI
approaches, mostly explanations by former AI researchers of why
they left the field.
AI approaches do not always work well
Artificial Intelligence Meets Natural Stupidity.
by Drew McDermott.
in Mind Design: Philosophy, Psychology, Artificial Intelligence, J.
Haugeland, ed., pp. 143-160, MIT Press, 1981.
common pitfalls in AI research
Intelligence Without Reason
by Rodney A. Brooks.
in Proceedings of the Twelfth International Joint Conference on Artificial Intelligence,
pp. 569--595, 1991.
historical perspective, AI methodology, personal history
Toward a Critical Technical Practice: Lessons Learned in Trying to Reform AI,
by Philip E. Agre.
in Bridging the Great Divide: Social Science, Technical Systems, and Cooperative Work.
Geof Bowker, Les Gasser, Leigh Star, and Bill Turner, Eds. Erlbaum, 1997.
intellectual history of AI, some problems with AI methodology, personal history
Artificial Intelligence and Other
Approaches to Speech Understanding: A case study in methodology.
by Nigel Ward.
Journal of Experimental and Theoretical Artificial
Intelligence, 10, 487-493, 1998.
point-by-point comparison of the AI approach with scientific and engineering approaches
AI visions are not necessarily a good inspiration for computer systems designers
AI techniques are not always a harmless thing to teach undergraduates
Programming as a Discipline?
by Nigel Ward.
Communications of the ACM, 40(12), December 1997, pp 113--114.
effects of courses in "AI programming" and "programming paradigms",
Also see the AI Critics page.
Pointers to other critical reflections on AI are welcome; please
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