Abstract
This disclosure describes systems, methods, and protocols for establishing programmatic financial and linguistic accountability in generative conversational shopping advertisements. An interactive ad unit parses a live dialogue stream of a generative conversational agent to identify a verifiable commercial assertion. Upon identifying the assertion, the system calculates a probability of model hallucination using token-level log-probabilities and softmax temperatures. A portion of an advertising budget or a pre-funded collateral pool is dynamically diverted into a smart contract escrow as a fidelity bond, where the bond amount scales with the probability of hallucination and a product category liability multiplier. Following a transaction, a hybrid verification oracle performs a tri-factor audit. To verify the accuracy of claims, the Hybrid Verification Oracle (HVO) conducts a systematic review. The audit reconciles the assertion against an authoritative manufacturer product manifest, a decentralized consensus audit performed by independent verification models, and physical-to-digital logistical data. If the assertion is determined to be a hallucination, the escrowed bond is programmatically slashed and routed directly to the consumer’s wallet as a linguistic restitution credit, bypassing customer service queues. Contextual drift detection protects the merchant by automatically voiding the bond if malicious prompt injection or baiting is detected.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, N/A, "System and Method for Collateralized Generative Advertising: Programmatic Truth-Bonding in Interactive Shopping Ad Units", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/11337