Technical

Credit Scoring AI

AI systems that assess individuals' creditworthiness to determine loan eligibility, terms, and credit limits.

Definition

Credit Scoring AI refers to artificial intelligence systems used by financial institutions to assess individuals' creditworthiness—determining eligibility for loans, credit cards, mortgages, and other financial products, as well as setting interest rates and credit limits.

EU AI Act Classification: Credit scoring AI is explicitly listed as high-risk in Annex III(5)(b): "AI systems intended to be used to evaluate the creditworthiness of natural persons or establish their credit score, with the exception of AI systems used for the purpose of detecting financial fraud."

Requirements for High-Risk Credit Scoring AI:

  • Risk Management (Art. 9): Continuous assessment and mitigation of discrimination risks
  • Data Governance (Art. 10): Training data must be representative; bias testing required
  • Transparency (Art. 13): Lenders must explain AI's role in credit decisions
  • Human Oversight (Art. 14): Human review capability for adverse decisions
  • Record Keeping (Art. 12): Logs enabling audit of decisions

Jurisdictional Variations:

  • EU: High-risk classification plus GDPR Article 22 rights (human intervention, right to contest)
  • US: Fair Credit Reporting Act (FCRA), Equal Credit Opportunity Act (ECOA); adverse action notices required; CFPB guidance on AI
  • Colorado: SB 21-169 requires insurers to test algorithms for unfair discrimination

Related concepts: Automated Decision System, Profiling, Algorithmic Discrimination, Right to Explanation

Sources

  • Fair Credit Reporting Act
  • Equal Credit Opportunity Act