Expert Systems (ES) are as yet imperfectly defined. Their two consistently cited characteristics are domain knowledge and expert-level performance. We propose that current structural definitions are inadequate and suggest a view of ES as communication channels. We proceed to explore the factors influencing applicability of ES technology to an enterprise and the impacts that could be expected. A consequence of this view is the idea of incremental information loss on the path from the expert to the ES user. Strategies for (...) minimizing this loss derive naturally from our perspective and are evident in successful ES. (shrink)

Three case studies were conducted on the implications of the use of expert systems for the work of clerks and operators in Britain. An expert system had been introduced in a process control application. The operators' work was deskilled. The second case was a fault diagnosis application. An operator was very happy with his new work. In the third case, insurance clerks received training to operate an expert system which extended the scope of their work. In conclusion, it is suggested (...) that expert systems extend the range of work which can be automated, but may not have unique impacts. (shrink)

The social sciences lack concepts and theories for an understanding of what new information technology is doing to our society. The article sketches the outlines of a broad historical and comparative approach to this issue: ‘an anthropology of information technology’. At the base is the idea ofexternalisation of knowledge as a historical process. Three main epochs are characterised by externalisation of knowledge through a) spoken language and a social organisation of specialists, b) writing and c) computer programming. The impact of (...) expert systems on learning is also discussed. (shrink)