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.
A unified framework of five principles for AI in society
3 Pith papers cite this work, alongside 771 external citations. Polarity classification is still indexing.
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A six-dimension framework shows structural failures in four governance principles under radical capability asymmetry, with two requiring new normative theory and a pattern of interdependent breakdown.
A thermodynamic-inspired information-geometric framework defines a composite LLM stability score that outperforms a utility-entropy baseline by 0.0299 on average across 80 observations, with gains increasing at higher entropy.
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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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Cognitive Comparability and the Limits of Governance: Evaluating Authority Under Radical Capability Asymmetry
A six-dimension framework shows structural failures in four governance principles under radical capability asymmetry, with two requiring new normative theory and a pattern of interdependent breakdown.
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An Information-Geometric Framework for Stability Analysis of Large Language Models under Entropic Stress
A thermodynamic-inspired information-geometric framework defines a composite LLM stability score that outperforms a utility-entropy baseline by 0.0299 on average across 80 observations, with gains increasing at higher entropy.