This article introduces a method for creating tamper-evident logs of AI model responses using a hash chain. By linking each response to the previous one with a cryptographic hash, any modification or deletion of a log entry becomes immediately apparent. The tutorial provides Python 3 code to set up a mock model endpoint and a client that generates these hash-chained logs, ensuring the integrity and order of model outputs. AI
IMPACT Provides a method for verifying the integrity and order of AI model responses, useful for auditing and debugging.
RANK_REASON The article describes a technical method and provides code for implementing a specific tool, rather than announcing a new model or significant industry shift.
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