Free Download The EU AI Act for Financial Institutions
Published 8/2026
Created by Christine Mentz
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 37 Lectures ( 50m ) | Size: 138 MB
Classify your AI, know your obligations, and work to the corrected post-Omnibus deadlines
What you'll learn
Classify any AI system in your institution into the correct risk tier and document the reasoning Distinguish provider from deployer obligations, and recognise the three triggers that make a deployer into a provider Apply the Annex III entries for credit scoring, insurance pricing and employment, plus the fraud detection carve-out Use the Article 6(3) derogation correctly, and understand why profiling of individuals closes that door Translate Chapter III into the specific artefacts a supervisor can demand of you Perform and scope a fundamental rights impact assessment under Article 27 Plan against the corrected post-Omnibus timeline rather than the superseded August 2026 deadline Design human oversight arrangements that survive supervisory and internal audit review Map DORA, GDPR, MiFID II and existing model risk evidence onto AI Act requirements to avoid duplication Execute a 90 day readiness plan covering inventory, classification and transparencyRequirements
No prior knowledge of the AI Act is assumed Familiarity with a financial services control environment is helpful but not required Access to your own AI or model inventory will make modules 5 and 6 considerably more valuableDescription
The EU AI Act is now live, and financial services is one of the few sectors named directly in the regulation. Credit scoring, life and health insurance pricing and recruitment tooling are all classified as high risk. If your institution lends, underwrites, or hires anywhere in the European Union, this applies to you, and it applies even if your model sits in London, New York or Singapore.
This course does not read the regulation to you. In 45 minutes it answers the three questions that actually matter: which of your AI systems are caught, what you have to do about each one, and by when.
You will work through the four risk tiers, the difference between being a provider and being a deployer, and the specific Annex III entries that catch banks, insurers and asset managers. You will learn the fraud detection carve-out that saves a great deal of unnecessary work, and the Article 6(3) filter that keeps your scope honest. You will then map the Chapter III requirements and the Article 26 deployer obligations onto concrete deliverables, including the fundamental rights impact assessment that banks and insurers are explicitly required to perform.
Critically, the course is built on the corrected timeline. The Digital Omnibus on AI, published in July 2026, deferred the high-risk obligations to 2 December 2027, but left the prohibitions, the AI literacy duty and the transparency rules exactly where they were. Most training material in circulation still quotes the superseded August 2026 date. This course does not.
Throughout, the emphasis is on not building a parallel compliance universe. The Act contains explicit hooks for regulated financial institutions in Articles 17, 26 and 74 that let you lean on the model governance and internal governance frameworks you already run. You will finish with a 90 day action plan you can start on Monday.
Who this course is for
Risk, compliance and legal professionals in banks, insurers, asset managers and payments firms Internal audit and model risk teams building coverage plans for AI Data, analytics and AI leads who need to know what the second line will ask of them Non-EU institutions serving EU customers or operating EU branches and subsidiaries Consultants and vendors selling AI into regulated financial servicesHomepage
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