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.
3
Pith papers citing it
771
external citations · Crossref
citation-role summary
background 2
citation-polarity summary
years
2026 3roles
background 2representative citing papers
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.
citing papers explorer
No citing papers match the current filters.