EU AI Act Demystified: Risk Tiers, August 2 Rules, and Future Requirements.

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.

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