Overview

A 6-module decision-based scenario course covering practical compliance with Regulation (EU) 2024/1689. The learner makes Article 4 (AI literacy) decisions, runs an Article 50 transparency disclosure, navigates a high-risk hiring AEDT, manages a credit-line affected-person scenario, handles an Article 86 affected-person complaint, and faces a supervisory audit. Approximately 100 minutes total. Course delivered in English.

Target Audience:

Compliance managers, DPOs, L&D directors, HR leads, and product managers at EU companies (and EU-active companies) deploying AI in employment, customer-facing, or regulated decisions.

Features and USPs:

Public AI Act RAG demo on blend.training. In-course Article 4 attestation template (PDF). Decision-tree scenarios covering shortlisting, disclosure, credit-line decisions, affected-person rights, and audit. Legally reviewed by qualified EU counsel.

Learning Objectives:

• Identify the Article 6 risk classification of an AI system in context
• Apply Article 4 AI literacy obligations to a realistic deployment decision
• Navigate Article 50 transparency requirements (deepfake / chatbot disclosure)
• Manage Article 86 affected-person requests
• Recognise prohibited Article 5 practices and high-risk Annex III triggers
• Coordinate with the EU AI Office and national supervisory authorities