Tue, Sep 15 · 1:00 PM CEST
Format: 60-minute presentation & panel, followed by 20 minutes of interactive Q&A and networking Target Audience: AI founders, CTOs, product managers, legal counsel, compliance leads, and EU policy advisors.
Event Agenda Part 1: The Four EU AI Risk Tiers (15 Minutes) Every builder and deployer must determine their system's regulatory category. Non-compliance carries financial penalties up to €35 million or 7% of global annual turnover.
Unacceptable Risk: Social scoring, subliminal behavioral manipulation, and workplace/school emotion recognition. Banned completely in the EU. High Risk: AI in recruitment, credit scoring, medical devices, educational admissions, and critical infrastructure. Requires risk management systems, high-quality data auditing, logging, and mandatory human oversight. Limited Risk: Chatbots, AI coding assistants, synthetic media generation, and deepfakes. Subject to active enforcement requiring mandatory transparency disclosures and content watermarking. Minimal Risk: Spam filters, AI video game NPC behavior, and basic recommendation engines. No mandatory regulatory burden under the AI Act; voluntary codes of conduct apply.
Part 2: Active Enforcement vs. Future Milestones (20 Minutes) Currently Enforced Requirements
User Interaction Disclosures: Chatbots and interactive agents must explicitly notify users that they are interacting with an AI system. AI Literacy: EU AI Act Article 4 statutory literacy training obligations for staff operating AI systems.
Future Developments and Deadlines
AI Regulatory Sandboxes: EU Member States must establish operational AI Sandboxes, offering startups a controlled framework to test high-risk models under legal guidance before commercial launch. Full High-Risk System Compliance: Standalone high-risk AI applications and safety components transition into mandatory compliance oversight over upcoming regulatory windows.
Part 3: Practical Takeaway: The AI Compliance Toolkit (20 Minutes)
Attendees will receive an actionable technical and operational framework:
Risk Classification Decision Tree: A clear logic flow to categorize your product’s regulatory tier and determine applicable requirements.
Part 4: Interactive Q&A and Community Discussion (15–20 Minutes) An open floor covering open-source model responsibilities, edge cases, overlapping GDPR requirements, and practical technical implementation challenges.
Official Registration & Calendar Invites: RSVPing on Meetup does not guarantee a calendar invite. Please claim your seat on our central Luma calendar: Register on Luma: https://luma.com/1gpeahgp
