Quality Engineering for Intelligence (Verification Intelligence series, Paper 3 of 12)

LabCorp (United States)

Indexed indatacite

Abstract

The previous papers in this series established two propositions. The first is that verification — the capacity to determine whether intelligence corresponds to reality — is becoming the scarce resource of the intelligence age. The second is that intelligence systems operating without adequate verification diverge from reality through recursive feedback, becoming more internally coherent and more externally wrong with each cycle. This paper argues that the challenge is not new. The discipline of quality engineering confronted and substantially solved a structurally identical problem over the course of the twentieth century: the challenge of producing reliable outputs from complex processes operating under…

Citation impact

36
total citations
FWCI
1105.59
Percentile
100%
References
11
Too recent for citation history.

Authors

1

Topics & keywords

Keywords
  • Quality (philosophy)
  • Process (computing)
  • Product (mathematics)
  • Reliability (semiconductor)
  • Resource (disambiguation)
  • Intelligence cycle
  • Competitive intelligence
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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