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Comment by Ray Aria

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Faculty member in information systems at the University of Houston–Downtown; researcher on AI governance, public administration, and digital policy.
This paper aims to address a reciprocity gap in public artificial intelligence (AI) governance: existing frameworks increasingly classify, document and audit AI systems but say less about how governments can make AI-enabled transformation visibly reciprocal through public return, low-burden citizen agency and credible redress. [...] This paper theorises public AI dividend infrastructure (PAIDI) as a meso-level architecture linking three layers: public return, citizen agency and assurance/redress.
Unverified (Sep 23, 2026)
Source:
Ray Aria, “Reciprocal public AI governance: public AI dividend infrastructure (PAIDI) for public return, data agency and redress,” Digital Policy, Regulation and Governance, September 23, 2026.
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Policy proposals and claims

A nation should fund a citizens' dividend from AI windfall profits
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