Skip to main content
Log in

What are experts for?

  • Open Forum
  • Published:
AI & SOCIETY Aims and scope Submit manuscript

Abstract

Knowledge engineering is the term given to the process of developing expert systems and knowledge engineers are the people who acquire the requisite knowledge from experts and structure that knowledge into a useable computer program. As knowledge engineering becomes a more accepted technology, there is increasing concern about attendant social costs, such as job displacement or possible exploitation of experts. This paper reports on our efforts to explore this latter issue by scrutinizing how knowledge engineers think about the domain expert and the role that person plays in system development. To accomplish this aim, we asked several samples of novice engineers to write story completions to a preamble that describes a knowledge engineer encountering a reluctant expert who may be fearing job loss if the system is implemented. The resulting accounts were content-analysed for insights as to how novice system builders think about experts. The results indicate that experts are conceived more as a tool to be used rather than a person to be respected.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  • Berry, W. (1990).What are people for? San Francisco, CA: North Point Press.

    Google Scholar 

  • Bruner, J. (1986).Actual minds, possible worlds. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Dreyfus, H. L. (1972).What computers can't do: A critique of artificial reason. New York: Harper & Row.

    Google Scholar 

  • Dreyfus, H. L. and Dreyfus, S. E. (1986).Mind over machine. New York: Free Press.

    Google Scholar 

  • Feigenbaum, E. A. (1980).Knowledge engineering: The applied side of artificial intelligence. Stanford, CA: Stanford University Heuristic Programming Project.

    Google Scholar 

  • Galambos, J. A., Abelson, R. P. and Black, J. B. (Eds.) (1986).Knowledge structures. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Hayes-Roth, F. (1984). The knowledge-based system: A tutorial.IEEE, September, 11–28.

  • Johnson, D. G. (1985b). Should computer programs be owned?Metaphilosophy,16, 276–288.

    Google Scholar 

  • Kintsch, W. (1975). Memory representations of text. In R. L. Solso (Ed.),Information processing and cognition. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • LaFrance, M. (1990). The special structure of expertise. In C. Westphal and K. McGraw (Eds.)Readings in knowledge acquisition: Current issues and trends. Chichester, England: Ellis Horwood.

    Google Scholar 

  • Mandler, J. M. and Johnson, N. S. (1977). Remembrance of things parsed. Story structure and recall.Cognitive Psychology,9, 111–151.

    Google Scholar 

  • Michealson, R. H., Michie, D. and Boulanger A. (1985). The technology of expert systems: Transplanting expert knowledge to machines.Byte, April, 303–312.

  • Moor, J. H. (1979). Are there decisions computers should never make?Nature and System,1, 217–229.

    Google Scholar 

  • Naylor, C. (1983).Build your own expert system: Artificial intelligence for the aspiring microcomputer. New York: Halstead Press.

    Google Scholar 

  • Pennington, N. and Hastie, R. (1986). Evidence evaluation in complex decision making.Journal of Personality and Social Psychology,51, 242–258.

    Google Scholar 

  • Read, S. J. (1987). Constructing causal scenarios: A knowledge structure approach to causal reasoning.Journal of Personality and Social Psychology,52, 288–302.

    Google Scholar 

  • Rumelhart, D. E. (1977). Understanding and summarizing brief stories. In D. LaBerge and S. J. Samuels (Eds.),Basic processes in reading: Perception and comprehension. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Rumelhart, D. E. and Abrahamson, A. A. (1973). A model for analogical reasoning.Cognitive Psychology,5, 1–28.

    Google Scholar 

  • Schank, R. C. and Abelson, R. P. (1977).Scripts, plans, goals, and understanding. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Stein, N. L. and Glenn, C. G. (1979). An analysis of story comprehension in elementary school children. In R. O. Freedle (Ed.),New directions in discourse processing (Vol. 2 pp. 83–107). Norwood, NJ: Ablex.

    Google Scholar 

  • Weizenbaum, J. (1976).Computer power and human reason: From judgment to calculation. New York: W. H. Freeman.

    Google Scholar 

  • Whitby, B. (1988).Artificial intelligence: A handbook of professionalism. Chichester: Ellis Horwood.

    Google Scholar 

  • Zuboff, Shoshana. (1988).In the age of the smart machine. New York: Basic Books.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Preparation of this chapter was supported by National Science Foundation Grant BNS 87-21882 to Marianne LaFrance.

Rights and permissions

Reprints and permissions

About this article

Cite this article

LaFrance, M. What are experts for?. AI & Soc 5, 161–171 (1991). https://doi.org/10.1007/BF01891722

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01891722

Keywords

Navigation