Trust Calibration
Showing confidence and uncertainty
The determination's internal certainty score is shown as a green, amber, or red band alongside a next-step sentence reading "medium confidence: a human officer will review before any decision takes effect".
Housing assistance: you appear eligible to apply
An officer will review this before any decision takes effect.
Low confidence. 0 of 3 confirmed. An officer will review this before any decision takes effect.
Trust marks and certification
The certification claim 'decisions reviewed by a human before effect' is shown as a mark that links directly to the audit evidence behind it, rather than as a free-standing badge.
Every claim below links to the record behind it. Tap a claim to see its evidence.
A claim with no record behind it cannot be shown here. The mark renders from the certification register, so a lapsed audit removes the claim rather than leaving a free-standing badge.
Graduated delegation
The risk tier of a service action (checking a payment date is low, lodging an appeal is high) sets the delegation level offered, and that level defaults to the most conservative option.
At any level: “stop and hand back to me” takes one tap and applies immediately. This cap is fixed by the service. Your assistant cannot raise it on its own. Only low-consequence actions reach the delegated rung.
Moving up a rung is always the user’s explicit act. The system may suggest it after demonstrated use; it may never perform it.
Transparency by default
A static algorithmic-transparency record is paired with event-driven 'transparency moments' that surface at decision points and irreversible actions.
You’re working with an AI assistant. It helps prepare your energy rebate claim; a human officer decides it. How it works is on record below.
The assistant reads your answers and your household records (with your permission), fills in the claim, and estimates your rebate from the published rate tables. It cannot approve or refuse anything. Officers review every claim it prepares; the assistant’s error and override rates are published quarterly.
Disclosures appear only at decision points and irreversible actions. Raise one at every step and users learn to dismiss it.
The record stays in place, so it can be checked or cited later. A service that publishes only the record hides the moment that mattered; one that shows only moments leaves nothing on record to contest later.
Communicating the level of automation
The automation degree of this action is shown as one of three concrete labels (AI-assisted, AI-recommended, AI-decided) alongside an open-banking-style pre-action consent panel.
The label is set by what the system does, checked against the oversight records. A service cannot claim ‘AI-recommended’ while its reviewers approve at a rate no different from ‘AI-decided.’
Signaling human-in-the-loop oversight
Accountable human review is shown as a before, during, and after signaling sequence that names the reviewing role and surfaces review-quality metrics.
Your claim will be reviewed by an assessment officer before any outcome takes effect. The assistant prepares; it does not decide.
Behind this signal: 14 officers reviewed claims this quarter
Both buttons take one step. An override placed behind menus signals that oversight is unwelcome.
The sequence claims oversight three times, and each claim carries a published number: the officer’s name, the time spent, and the correction rate. That turns a fake review into a stated falsehood.
Earned trust and reversible delegation
Earned trust and always-revocable consent are shown as an expand-and-contract delegation control with a guaranteed-parity exit.
Available after 12 confirmed actions. Nothing changes unless you accept.
Withdrawal is penalty-free by design: the non-agent channel runs at equal service quality, so the person fleeing a misbehaving agent is not the person the exit punishes.
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