DisclosureLedger
A use-specific provenance layer for consumer chatbots and selected decision-support surfaces that records system version, bounded input references, output, disclosure, recipient context, human role, outcome evidence, gaps, and correction.
Consumer chatbot disclosures and decision-support records are distinct problems. The supplied research confirms a Connecticut online-safety measure signed in June 2026 with consumer-chatbot disclosure provisions effective October 1, 2026, while employment provisions have a later date. It does not establish that every BI recommendation is covered or that one multi-state report satisfies Colorado, California, or another jurisdiction.
DisclosureLedger should be configured per actual use. It records the deployed system and version, purpose, audience, disclosure version and presentation evidence, bounded input references rather than unrestricted raw data, generated response or recommendation, citations, human role, consequential action if any, provider acknowledgment, complaint, correction, and coverage gap. The proposed capture interface remains unverified.
A provenance chain can support investigation and reviewed disclosure evidence; it cannot prove the output was accurate, the disclosure was legally sufficient, the person understood it, all bypass paths were captured, or a later decision was caused by the model. Sensitive conversation and customer data require minimization, purpose limits, access, retention, and deletion.
Product, data, legal, privacy, and AI-governance leaders operating consumer chatbots or selected business decision-support experiences in regulated or high-accountability contexts.
A confirmed October 2026 consumer-chatbot date creates a strong window.
Use-specific applicability, disclosure evidence, capture coverage, and data minimization are difficult.
Several references and inbound links support the cluster, with moderate grounded convergence.
The dated consumer-chatbot trigger is supported, the provenance mechanism is concrete, and generic evaluation tools do not target disclosure operations.
The buyer and covered uses remain broad, capture is unverified, jurisdictional mapping requires experts, sensitive-data logging is risky, and large governance vendors can extend.
Discussion
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