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dc.contributor.authorSturman, Michael C.
dc.contributor.authorMilkovich, George T.
dc.date.accessioned2020-11-25T14:52:39Z
dc.date.available2020-11-25T14:52:39Z
dc.date.issued1992-07-10
dc.identifier.other164585
dc.identifier.urihttps://hdl.handle.net/1813/77190
dc.description.abstractA method for validating expert systems, based on psychological validation literature and Turing's "imitation game," is applied to a flexible benefits expert system. Expert system validation entails determining if a difference exists between expert and novice decisions (construct validity), if the system uses the same inputs and processes to make its decisions as experts (content validity), and if the system produces the same results as experts (criterionrelated validity). If these criteria are satisfied, then the system is indistinguishable from experts for its domain and satisfies Turing's "imitation game." The methods developed in this paper are applied to a human resource expert system, Personal Choice Expert (PCE), designed to help employees choose a benefits package in a flexible benefits system. Expert and novice recommendations are compared to those generated by PCE. PCE's recommendations do not significantly differ from those given by experts. High inter-expert agreement exists for some benefit recommendations (e.g. Dental Care and Long-Term Disability) but not for others (e.g. Short-Term Disability and Life Insurance). Insights offered by this method are illustrated and examined.
dc.language.isoen_US
dc.subjectCAHRS
dc.subjectILR
dc.subjectcenter
dc.subjecthuman resource
dc.subjectstudies
dc.subjectadvance
dc.subjectflexible
dc.subjectemployee
dc.subjectbenefit
dc.subjectsystem
dc.subjectchoice
dc.subjectexpert
dc.subjectlong-term
dc.subjectdisability
dc.subjectdecision
dc.subjectexpert
dc.subjectnovice
dc.titleValidation of Expert Systems: Personal Choice Expert -- A Flexible Employee Benefit System
dc.typepreprint
dc.description.legacydownloadsValidation_of_expert_systems__no__92_33_.pdf: 1277 downloads, before Oct. 1, 2020.
local.authorAffiliationSturman, Michael C.: Cornell University
local.authorAffiliationMilkovich, George T.: Cornell University


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