Quality Engineering for Intelligence (Verification Intelligence series, Paper 3 of 12)
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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
1Topics & keywords
Topics
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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