Fair Lending laws#
Regulations prohibiting discrimination in credit decisions.
Important
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What they are#
Fair lending laws are the US statutes that prohibit discrimination in credit — chiefly the Equal Credit Opportunity Act (ECOA), covering all credit transactions, and the Fair Housing Act, covering mortgages and housing. They bar decisions based on protected characteristics like race, sex, age, religion, or national origin.
Two theories of harm#
Enforcement rests on disparate treatment (treating applicants differently on purpose) and disparate impact (a facially neutral rule that disproportionately burdens a protected group, even with no intent). Crucially, statistical disparities alone can trigger scrutiny before any intent is shown.
Why they matter for ML#
A credit model can discriminate through proxies — zip code or surname standing in for race — so compliance demands fairness testing, sensitivity analysis, and ongoing monitoring. It also requires adverse-action explanations specific enough to tell a rejected applicant why, which is hard for opaque models — a driver of explainable AI in finance.
Theme: Explainability & Governance · All terminology
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Mind map — connected ideas
High-Stakes Domains · Basel III · Fairness Guardrails · Risk-Based Decisions · SHAP (SHapley Additive exPlanations) · LIME (Local Interpretable Model-agnostic Explanations)
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More in Explainability & Governance
Basel III · Counterfactual Explanations · High-Stakes Domains · LIME (Local Interpretable Model-agnostic Explanations) · Post-hoc Explainability · SHAP (SHapley Additive exPlanations)
See also
Source article Adapted (context, re-expressed) in our own words from: Fair Lending laws (insightful-data-lab.com).