<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/6164723a5b4446579135ea63b17c4099&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6164723a5b4446579135ea63b17c4099-e2e687b6c8674823.gif</thumbnail_url><duration>190.7906</duration><title>EU AI Act Compliance for Underwriting Systems</title><description>This Loom explains how the EU AI Act and its June 26 Digital Omnibus amendments affect high-risk AI systems used in insurance underwriting. It describes a risk-based framework where higher safety or fundamental-rights impact requires stricter obligations, including concrete expectations for documentation, testing, and accountability. The Digital Omnibus allows processing special category data when strictly necessary to detect and correct bias with safeguards, even for systems not classified as high-risk. The speaker says their focus includes risk management, data governance, technical documentation mapped to the Act, human oversight, testing, and security, noting underwriting AI is generally high-risk when it can impact an individual’s access to financial services.</description></oembed>