ΠΕΡΙΓΡΑΦΗ

Artificial intelligence is no longer only a technology issue. It is now a legal, regulatory, governance and risk-management issue for almost every business using digital tools, automation, data analytics, AI-assisted decision-making or third-party AI systems.

The EU AI Act introduces a new compliance framework that lawyers and business leaders must understand in order to manage risk properly. Organisations will need to know whether they are providers, deployers, importers or distributors of AI systems, how their AI tools are classified, and what obligations apply at each level of risk.

This course provides a practical, business-focused walkthrough of the Act. It explains the structure and scope of the legislation, the risk-based approach, the obligations imposed on businesses, the governance measures expected in practice, and the consequences of non-compliance.

Designed for lawyers and compliance professionals, the seminar moves beyond theory and focuses on what advisers need to identify, ask and implement when supporting clients or internal teams using AI.

ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ

This course is suitable for:

• Lawyers advising businesses on technology, compliance, contracts, employment, data protection or corporate governance
• Legal and compliance officers
• C-suite executives and senior managers, including CEOs, CTOs, COOs and risk leaders
• Data Protection Officers and privacy professionals
• IT, AI, machine-learning and product professionals who need to understand legal obligations
• Procurement and vendor-management professionals
• HR and people operations leaders using AI-assisted tools
• Professionals in healthcare, finance, public-sector bodies and other regulated environments

ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

Course content

_{Module 1: Origins, Scope and Key Definitions}

• The legislative journey and the relationship with GDPR and the wider global regulatory landscape
• Who is covered:providers, deployers, importers and distributors
• What qualifies as an AI system and what is excluded
• Key implementation dates, transitional periods and practical planning points

_{Module 2: The Risk-Based Framework and Core Obligations}

• The four-tier risk model: prohibited, high-risk, limited-risk and minimal-risk systems
• High-risk AI: covered sectors, use cases and mandatory requirements
• Different  obligations for providers and deployers
• Transparency requirements for limited-risk systems, including chatbots and deepfakes‍

_{Module  3: Compliance in Practice, Governance and Enforcement}

• Conducting anAI inventory, gap analysis and internal risk assessment
• AI literacy, human oversight and internal responsibility for AI governance
• Policies, procedures and contractual controls for AI procurement and deployment
• Conformity assessments, technical documentation and the EU AI database
• Penalties and the enforcement role of national supervisory authorities

‍Wrap Up and Q&A

• Practical implementation priorities
• Questions from participants and key takeaways