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2011 | OriginalPaper | Chapter

19. Help from Within

Author : Derek Partridge

Published in: The Seductive Computer

Publisher: Springer London

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Abstract

A general mechanism for self-explanation was a spin-off of Expert Systems Technology (EST) which attempted to mechanise human expertise using IT systems composed of a knowledge base (a database of rules and facts) and an inference engine (that deduces further information from user input and the knowledge base). It is persuasive in the small, but fails in the large. Just as with programs, the clarity of small context-free elements (program instructions or IF-THEN rules) is quickly lost when the system, or the purported explanation of the system, grows to be a large collection of these elements. The simplest explanation of a complex system may be complex (although hopefully less complex). Comprehensibility of complex explanations is probably best achieved (insofar as it can be achieved at all) through a combination of sophisticated structure and simple elements; it cannot be achieved through an unstructured mass of simple elements. A putative solution that is programmed, like self-explanation, is subject to all the same difficulties as the IT system it claims to explain.

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Footnotes
1
This small example is taken from Michie’s and Johnston’s book (see next note) which provides far more detail on this near-disaster together with a further selection of cautionary real-life tales all aimed at emphasizing the information-management problem engendered by modern computer technology.
 
2
The Creative Computer (Penguin, 1984) by Donald Michie and Rory Johnston (the first pioneer of British AI, and a science journalist, respectively) is an interesting and readable, upbeat account of the possibilities for advances in Artificial Intelligence (AI) rescuing humanity from the unmanageable complexity of the products of technological progress – e.g. nuclear power stations. Their concluding remarks tell us that, contrary to popular opinion, AI is not about making “super-clever Daleks, unfathomable to man”, its aim is “making machines more fathomable and more under the control of human beings, not less” (p. 214, authors’ emphasis).
I argue for much the same general dangers in modern computer technology (although not for precisely the same reasons). The current chapter echoes Michie’s and Johnston’s proposed response, but with much less enthusiasm for computer-generated explanations being a panacea.
 
Metadata
Title
Help from Within
Author
Derek Partridge
Copyright Year
2011
Publisher
Springer London
DOI
https://doi.org/10.1007/978-1-84996-498-2_19

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