The article proposes an accountable tax-AI architecture built on task classification, authoritative and time-stamped sources, explicit assumptions, traceable evidence, mandatory escalation, reason-giving, taxpayer contestability, and post-deployment audit that treats AI as an evidentiary and analytical assistant while preserving the human responsibility that makes tax law intelligible, challengeable, and legitimate.
Edvin Stefani· Open Journal for Research in...· 0 citations
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