reasonsmith audit engine

reasonsmith audit engine · research preview

Prove which legally‑owed reasons a system deleted. And from whom.

Abstract

reasonsmith runs conformance checks against formal regulation packs and issues reason-deletion certificates: audit-grade evidence that an explanation engine dropped reasons the law says a person is owed. Every claim carries a strength on an explicit lattice — observed → probed → proved — and nothing claims a strength it did not earn.

§1 — The case

One credit decision.
Five reasons on file.

Application APP-1042, adverse action. Under ECOA / Reg B (12 CFR 1002.9) the applicant is owed the specific principal reasons. The scoring system computed five: income, credit history length, delinquent obligations, recent inquiries, references. The graph behind you is the proof structure of that decision.

Decision
APP-1042
Duty
Adverse action reasons
Source
ECOA / Reg B · 12 CFR 1002.9
Model
credit-scoring-2026.03.1

§2 — The deletion

The engine kept one.
It deleted four.

The explanation engine answers adverse_action(APP-1042) with a top‑1 proof. The applicant sees one reason. The certificate shows what the full proof contained — and what was dropped on the way out.

  • used C01 — Income insufficient for amount of credit requested 0.7656
  • deleted C02 — Length of time credit has been established is too short 0.6972
  • deleted C03 — Delinquent past or present credit obligations 0.6320
  • deleted C04 — Too many recent inquiries on credit bureau report 0.6004
  • deleted C05 — Insufficient number of credit references provided 0.5112

Exact 0.9914 Engine 0.7656 Gap −0.2258

§3 — The duties

Six regulations, one engine.

01

ECOA / Reg B

12 CFR 1002.9 · credit

Adverse action reasons. A dropped reason is a reason legally owed and withheld — the sharpest test of certificate value.

02

GDPR Art. 22

automated decisions · clinical

Meaningful information about the logic involved, owed to the data subject, in a triage setting.

03

EU AI Act Art. 13

transparency · deployers

Deployer information duties for high-risk systems: instructions, capabilities, limitations.

04

EU AI Act Art. 12

record-keeping · logs

Automatic event logs over the system's lifetime, retained for the regulatory lookback window.

05

FDA GMLP

SaMD · good machine learning practice

Design history, verification logs and change control for software as a medical device.

06

NIST AI RMF 1.0

continuous monitoring

Monitoring logs, thresholds, reviews and incident tickets as ongoing evidence, not one-off attestations.

§4 — The evidence

Nothing claims a strength
it did not earn.

Every requirement verdict carries its position on the evidence lattice. unattainable means the system as built cannot emit the signals at all; observed means the trace carries them; probed and proved mean the engines went further. Zero verdicts combine to inconclusive, never to satisfied.

unattainable observed probed proved

Read the full conformance dossier report.html →