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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Audit of two German algorithm registers using checklists from a 2025 proposal finds they require adaptations to meet proposed transparency goals.
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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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Are Algorithm Registers Transparent? Perspectives from Germany
Audit of two German algorithm registers using checklists from a 2025 proposal finds they require adaptations to meet proposed transparency goals.