A scoping review and empirical analysis produce a six-category taxonomy of factors driving AI non-development and abandonment, showing that practical issues like resource limits and organizational dynamics often outweigh ethical concerns in real decisions.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
The paper proposes a deployer-side framework using production contracts, risk-based testing, and compatibility gates to govern opaque LLM updates in software supply chains, supported by exploratory evidence that targeted tests reveal regressions missed by overall metrics.
citing papers explorer
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To Build or Not to Build? Factors that Lead to Non-Development or Abandonment of AI Systems
A scoping review and empirical analysis produce a six-category taxonomy of factors driving AI non-development and abandonment, showing that practical issues like resource limits and organizational dynamics often outweigh ethical concerns in real decisions.
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Test Before You Deploy: Governing Updates in the LLM Supply Chain
The paper proposes a deployer-side framework using production contracts, risk-based testing, and compatibility gates to govern opaque LLM updates in software supply chains, supported by exploratory evidence that targeted tests reveal regressions missed by overall metrics.