Match each of the following financial regulatory determinations regarding automated lending systems to the general administrative principle that most directly justifies it:
- A regional credit union was prohibited from deploying an automated credit-scoring model that incorporated zip-code-level demographic proxies, even though the model demonstrably maximized overall loan repayment rates.A predictive lending evaluation tool must not be approved on the basis of aggregate financial performance if it relies on generalized demographic data to assess individual risk.
- A mortgage lender was required to grant manual underwriting appeals exclusively to loan applicants whose automated rejections were triggered by unverified anomalies in secondary financial records.Mandatory individualized reconsideration is warranted whenever an automated adverse determination is contingent upon factual records whose evidentiary accuracy remains uncorroborated.
- A digital micro-lender was permitted to use proprietary machine-learning algorithms to determine interest rates without releasing its source code, provided that the exact statistical weight of every applicant variable was made public.An automated commercial evaluation system satisfies public accountability standards if the decision-making criteria and their relative influence are fully disclosed, even if the underlying software mechanics remain confidential.
Cevap
The credit union scenario matches the principle barring demographic proxies despite aggregate performance; the mortgage lender scenario matches the principle mandating individual review for uncorroborated adverse records; the digital micro-lender scenario matches the principle that disclosing criteria weights suffices for accountability without proprietary code release.
Each regulatory determination is paired with the principle whose conditional requirements and normative scope exactly match the facts: demographic proxy prohibition matches the rule against generalized demographic risk assessment; manual review for uncorroborated records matches the rule mandating review for unverified adverse data; and publishing variable weights without source code matches the rule defining sufficient disclosure for algorithmic accountability.
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Principle Identification and Application
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