AI Decision-Making: Authority Validation Critical AnalysisAI Decision-Making: Authority Validation Critical Analysis
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Kami Harcej
• Apr 11
“When decisions become real without valid authority”
This work examines how AI-driven decisions can appear valid while lacking the authority or conditions required to become actionable.
It focuses on a critical gap:
– outputs are treated as admissible – decisions are accepted as valid – but authority and conditions are never fully established
The analysis highlights:
– where systems assume authority rather than explicitly validating it – how admissibility is inferred instead of resolved – where decisions become actionable without sufficient grounding – why systems can execute correctly while lacking valid basis
The goal is to identify where decisions are allowed to become real, not because they are admissible, but because nothing prevents them from being treated as such.
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