Skip to main content
AI Consumer Compliance
Sign in Create account
Countries Industries Topics Regulations News Glossary Search About Contact

Finance & Banking

High risk sector

AI in credit decisions, fraud detection, trading, and customer service raises fairness, transparency, and stability concerns.

Overview

Banks and fintechs use AI for underwriting, fraud detection, AML, trading, and chat support. Regulators focus on model risk management, fair lending, explainability of adverse decisions, and consumer disclosure.

What this means for you

You may be declined credit or flagged for fraud by an AI. Laws in many jurisdictions give you the right to an explanation or a human review of important decisions.

Relevant laws & frameworks

  • EU AI Act

    The world's first comprehensive horizontal AI law, imposing risk-based obligations across the EU.

  • Colorado AI Act

    First comprehensive US state AI law targeting consequential decisions; effective in 2026.

  • NIST AI RMF

    Voluntary US framework for managing AI risks across the life cycle (Govern, Map, Measure, Manage).

  • UK GDPR Art. 22

    Rights regarding solely automated decisions with legal or similarly significant effects.

  • CCPA/CPRA ADMT

    California is issuing regulations on automated decision-making technology under the CCPA/CPRA.

Business examples

  • Global bank transparency reports

    Several large banks now publish annual AI/model-risk transparency reports covering credit and fraud systems.

Related industries