Purpose
Senator Mark Warner's June 2026 AI AGENT Act discussion draft asks how consumer-facing agents can act in users' interests while supporting privacy, cybersecurity, interoperability, competition, and accountability. This proposal offers a testable addition: an optional, versioned decision-record profile for consequential consumer-agent transactions.
A transaction receipt shows what happened. It usually cannot show which serious alternatives the agent considered, what it predicted, why it rejected other options, which feeds supplied the evidence, or whether the result later matched the user's instruction. A decision record preserves those objects so an authorized evaluator can test specific loyalty, steering, and performance questions.
Proposed congressional action
Congress should invite NIST, the Federal Trade Commission, consumer representatives, agent providers, marketplaces, independent researchers, and privacy and security specialists to evaluate a narrowly scoped DRCS-EC pilot.
- Define a common record shape for a bounded set of consequential consumer-agent transactions.
- Test whether independent implementations can produce and validate the same required objects.
- Minimize retained personal and commercial data.
- Separate record production from the rules, readers, and consequences that may use it.
- Publish conformance fixtures, threat models, failure reports, and version changes.
- Measure whether the profile helps evaluators detect steering, instruction drift, omitted serious alternatives, or poor follow-up without treating the record as proof by itself.
Minimum consumer-commerce record
Record minimization is part of the design. The profile should require only the data needed for the declared evaluation and should specify retention, access, correction, deletion, and disclosure rules.
- Delegation snapshot: task, constraints, authority, and consent.
- Option-set snapshot: serious products, sellers, prices, shipping, returns, payment paths, checkout friction, and reliability information considered.
- Selected option and reasons; rejected serious alternatives and reasons.
- A scoring trace that can be recomputed from the recorded inputs and declared rule.
- Feed and evidence provenance.
- Outcome follow-up against the instruction.
- Schema version, record identity, timestamps, integrity controls, and the relevant 17-field DRCS Core objects.
What the current experiment supports
The July 2026 working paper Standardize the Record, Not the Reader uses a corrected Calvano algorithmic-pricing environment to separate evidence production, scoring, changed rewards, targeted restrictions, random interruption, rejected-alternatives review, and a several-reader composite.
- Producing the evidence path alone leaves pricing unchanged under common seeds.
- Forecast scoring leaves pricing unchanged in this implementation.
- Changing the private reward changes the agent’s objective and conduct.
- Outcome-contingent restrictions change conduct at the higher audit intensities tested, where targeted restrictions outperform equally frequent random interruption.
- The rejected-alternatives addition produces no incremental effect because its trigger is inactive or creates negligible exposure.
- The several-reader composite adds no consequence because it never activates.
- The experiment does not establish durable filing, field performance, legal sufficiency, reader diversity, privacy adequacy, or production cost.
Conformance and evaluation
No record is self-authenticating. An evaluator must still examine provenance, implementation integrity, the declared scoring rule, material omissions, and legal authority.
- Required-object completeness, schema identity, and pre-decision timestamp.
- Append-only amendments, version history, and supersession links.
- Option-set and feed provenance; reproducible scoring trace.
- Detection of a dominating rejected option under the declared evaluator rule.
- Reader authorization, purpose limitation, privacy minimization, and correction paths.
- Cross-provider export, tamper evidence, and record-link integrity.
- False-positive and false-negative boundaries for each evaluator.
- Public reporting of inactive triggers, failed hypotheses, and boundary conditions.
Open questions
- Which consumer-agent decisions are consequential enough to justify a record?
- Which option-set and provenance fields are necessary for loyalty and steering tests?
- What information can be minimized, aggregated, held locally, or disclosed only under authorized review?
- Which conformance tests are technical, and which require legal or institutional judgment?
- How should an evaluator distinguish a justified rejection from steering?
- What evidence would justify expanding, narrowing, or ending the pilot?
Sources and downloads
Corrections and supersession
This is version 1.0. Corrections will be listed on this page and in the site corrections log. Any successor will identify the exact version it replaces, preserve this page and its downloads, explain material changes, and link to the superseding version.
Current corrections: none.