Bias in the development and use of an expert system: implications for life cycle costs

Suggests that the development and use of an expert consulting system is vulnerable to biases in the subject‐matter expert, knowledge‐engineer, validators, maintainers and end‐users. An expert system, developed at a large insurance company, is used to study these biases. An economic model is then built to evaluate the trade‐offs which must be considered in the process of managing the source of these biases over the life cycle of an application.