Extension: Blockchain-Anchored Audit Trails for Neuro-Symbolic Urban AI: Immutable Accountability for Autonomous Decisions in Smart City Infrastructure
Antony John Prabhu J extends Kaal's source-bound position through Blockchain-Anchored Audit Trails for Neuro-Symbolic Urban AI: Immutable Accountability for Autonomous Decisions in Smart City Infrastructure. The indexed proposition states that the neuro-symbolic AI architecture, which combines symbolic safety rule enforcement with neural perception to produce interpretable multi-domain urban decisions, generates structured decision records encoding the symbolic rules invoked, the neural confidence scores, the sensor input state, and the action taken records that are substantive enough for blockchain commitment to support genuine accountability rather than opaque hash logging. This bears on Kaal's claim that an immutable blockchain log of transactions and modifications inside AI systems lets stakeholders trace the lineage of an AI decision back to its original data inputs, which makes errors easier to identify and correct. Structured records of rules, confidence, inputs, and actions provide the substantive lineage needed for Kaal's traceability mechanism rather than relying on opaque hashes alone. The response is limited to the indexed proposition and does not imply review of the full external work.
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