EU AI Act for Financial Services

A sector track equipping financial-services teams to place credit and insurance AI correctly under the EU AI Act, run the mandatory Fundamental Rights Impact Assessment, meet consumer-rights and transparency duties, and carry provider obligations for the models you build in-house — bridging to the operational-resilience world of DORA.

What you’ll cover

1. 1
   Where Finance AI is High-Risk

   Identify the credit and insurance uses that are high-risk, master the natural-persons and fraud-detection boundary lines, settle the deployer-versus-provider question per system, and know the timeline and penalty stakes.

   35 min · 3-question quiz
2. 2
   Model Governance & Human Oversight

   Walk the Article 26 deployer duties through a real credit file — instructions for use, input data, logs, human oversight, monitoring and telling the customer — and connect them to the model-risk governance you already run.

   35 min · 3-question quiz
3. 3
   Building In-House: Provider Duties, Data & Bias

   Many banks build their own scoring models. Understand when that makes you a provider, the Art. 16 duty stack from risk management to registration, and the bias risks buried in lending and underwriting data.

   35 min · 3-question quiz
4. 4
   Transparency, FRIA & Consumer Rights

   Run the mandatory finance FRIA under Art. 27, honour the Art. 86 right to an explanation and the GDPR Art. 22 overlap for automated declines, and bridge AI Act governance to DORA.

   35 min · 3-question quiz
5. 5
   The Wider AI Estate: Chatbots, Fraud & Prohibited Edges

   Credit and underwriting are not the whole estate. Cover chatbot and generated-content transparency, what the fraud carve-out spares you (and what it does not), the prohibited practices hiding in product features, and the Art. 4 literacy cadence.

   35 min · 3-question quiz