Framework for Auditable AI Commerce Transactions Proposed
Researcher proposes verifiable event timeline for autonomous commerce agents with tamper-evident auditability and fraud detection, addressing gaps in AP2 and ACP protocols.
Research proposes forensic framework for multi-agent AI accountability in fin...
Academic paper introduces HANSARD, a reference architecture for auditing autonomous AI agents in finance and security, addressing liability gaps when multi-agent systems cause harm through provenan...
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