📝 General Introduction

Artificial Intelligence (AI) is reshaping industries and societies at an unprecedented pace, with applications spanning healthcare, education, finance, manufacturing, and even legal systems.

As AI systems become more autonomous and integrated into decision-making processes, they raise complex legal and ethical questions related to liability, privacy, intellectual property, and transparency.

Legal engagement with AI is no longer optional—it is essential to ensure responsible, fair, and safe deployment of intelligent technologies that respect human rights and institutional integrity.

This workshop is designed to equip participants with a comprehensive understanding of the legal frameworks surrounding AI, including risk analysis, regulatory trends, and policy development.

It explores international legislation, ethical principles, data protection standards, and the future of law in the age of intelligent machines.

Through five days of interactive training, participants will gain practical legal tools to manage AI-related risks, draft institutional policies, and align with global compliance standards.

This program is ideal for professionals navigating the intersection of law and technology in a rapidly evolving digital landscape.

🎯 Target Audience

• Legal advisors and consultants
• Lawyers in public and private sectors
• Compliance and governance officers
• Legal and technology managers
• AI developers and product leads
• Policy makers and legal researchers

🎯 Expected Outcomes

• Understand the legal foundations of AI technologies
• Analyze ethical and legal challenges in AI deployment
• Explore international regulations and policy initiatives
• Develop institutional policies for responsible AI use
• Promote legal compliance and digital governance

📚 Scientific Topics

Theme 1: Introduction to AI and Legal Systems

Session 1: AI Fundamentals and Legal Relevance

• Definition and applications of AI
• Differences between traditional and intelligent systems
• Legal implications of AI technologies

Session 2: Law and Technology Interface

• Role of law in regulating innovation
• Legal challenges of emerging technologies
• Need for adaptive legal frameworks

Theme 2: Legal and Ethical Responsibility

Session 1: Civil and Criminal Liability

• Who is liable for AI errors?
• Legal personhood of AI systems
• Limits of liability in autonomous decisions

Session 2: Ethical Principles in AI Use

• Fairness and non-discrimination
• Transparency and explainability
• Respect for privacy and human dignity

Theme 3: Data Protection and Privacy

Session 1: AI and Personal Data

• Data collection and processing
• Compliance with privacy laws
• GDPR and global data standards

Session 2: Cybersecurity and AI Systems

• Securing intelligent platforms
• Emerging security threats
• Legal and technical safeguards

Theme 4: Intellectual Property and Innovation

Session 1: AI as a Creator

• Ownership of AI-generated content
• Copyright in machine-generated works
• Patents and smart technologies

Session 2: Licensing and Legal Models

• Open vs proprietary licensing
• Protecting algorithms and models
• Legal challenges in using pre-trained systems

Theme 5: Public Policy and Future Legislation

Session 1: Global Regulatory Initiatives

• EU AI Act and OECD guidelines
• UN and international efforts
• Trends in global AI governance

Session 2: Building Institutional AI Policies

• Drafting internal AI usage policies
• Legal impact assessments
• Sustainable compliance and governance