Overview
Objectives
- Understand legal, and regulatory issues surrounding the use of Generative AI, including bias, privacy, and copyright concerns.
- Explore the various regulatory frameworks, such as the EU AI Act, and learn how to ensure AI systems are compliant with these regulations.
- Gain practical experience using AI compliance tools and customizing AI models to meet specific legal requirements.
- Assess the compliance of AI applications in your organization with existing laws and regulations.
Audience
This session is for professionals from diverse fields, including technology, law, compliance, ethics, management, and policy, as well as anyone using or overseeing AI systems. It equips participants with practical tools and knowledge to navigate legal and privacy challenges in Generative AI.
Learning outcomes
- Legal Compliance: Ability to ensure AI systems meet legal and regulatory standards.
- Ethical Awareness: Recognize and address ethical issues and biases in AI systems.
- Regulatory Knowledge: Understanding key laws and regulations, including Swiss Federal Act on data protection, GDPR, the EU AI Act, and copyright laws.
- Risk Management: Capability to evaluate risks in AI use, especially concerning client data and intellectual property.
- Practical Skills: Hands-on experience including authorized and unauthorized practice regarding the use of Generative AI, and EU AI Act compliance tools
Programme
- Copyright and Liability
- Data protection, ethics, biases
- Regulatory frameworks
- Am I compliant? Hands-on session
Registration
Registration deadline
14 May 2025
Fees:
- CHF 1300.-
- CHF 650.- (Reduced price)
- An additional CHF 200.- for the Micro-credential
Application File
- Pièce d'identité
- CV
Curriculum
Period
15 May 2025 - 16 May 2025
Teaching hours
14 teaching hours
Microcertification
2 ECTS credits
EQF-level: 7
Date(s)
15 May 2025
Description
This session addresses the issue of copyright, what we know, and what we don’t know about Gen AI copyright
- Introduction to Generative AI, Impact in industry/institutions, existing issues regarding copyrights and Liability.
- Copyright from the input, training, and output
- Transparency & Explainability
- Liability
Date(s)
15 May 2025
Description
- Swiss and EU legal frameworks for data protection
- Practical implications for generative AI.
- Practical Implications of Local Deployments.
- Discuss challenges like handling user inputs and outputs that might violate FADP / GDPR.
- Identifying and Mitigating Biases in Generative AI
- Compare the pros and cons of open-source AI models regarding data protection
- Highlight high-profile cases where AI systems breached privacy laws (e.g., unauthorized data use, GDPR fines).
- Discuss lessons learned and mitigation strategies.
Hand-on activity:
* identify authorized and unauthorized practices involving generative AI in regard of copyright, liability, and data protection.
Date(s)
16 May 2025
Description
Get inside of the regulatory efforts organized by different governments, how they affect industry, and society, strengths and weaknesses. Deep understanding of the EU AI Act and Swiss AI regulatory efforts.
- Introduction to Global AI Regulation
- AI Regulation in the EU: The AI Act
- Risk Classification under the EU AI Act
- Compliance Strategies under the AI Act
- The Swiss Approach to AI Regulation
- Global Comparison of AI Regulatory Approaches
- The Role of Standards in AI Regulation
- Ethical Considerations in AI Regulation
Date(s)
16 May 2025
Description
- EU AI Act compliant checkers. Are you compliant?
- Using Gen AI to understand EU AI Act better.
Assessment
As part of the microcertification, participants will be required to complete an assignment, representing approximately 40 hours of personal work.
Intervenant-es
- Nicolas CAPT is the founding partner of Quinze Cour des Bastions. He is internationally recognized for his expertise in media law, reputation management, modern technology law, and particularly the legal aspects of artificial intelligence.
- Léonore BOZOVIC is a specialist associate in new technology law at Quinze Cour des Bastions. She is also a PhD candidate at Lausanne University, with research focusing on consent under data protection law.
- PhD Maria Assunta CAPPELLI is a researcher at the Computer Science Center (CUI) of the University of Geneva. She holds a Ph.D. in Law from the University of Trento, as well as a Master’s degree in Digital Systems and Services and a Master’s degree in Education with a focus on Analysis and Intervention in Educational Systems, both from the University of Geneva. Her work explores the intersection of artificial intelligence, law, and ethics, with a particular focus on autonomous vehicles. She examines issues such as civil liability, driver-vehicle interfaces, and the complex interplay between safety and security.
- Dr Jose Luis FERNANDEZ-MARQUEZ is a Senior Lecturer at the Centre Universitaire d’Informatique (CUI) and coordinator of continuous education courses on AI for specialists at the University of Geneva. He has more than 15 years of experience in AI, spanning both public and private sectors. He has specialized in AI-enhanced collective intelligence, merging crowdsourcing techniques with AI in the field of emergency management.
Director(s)
Prof. Giovanna DI MARZO SERUGENDO, Centre universitaire d'informatique (CUI), University of Geneva
Coordinator(s)
Dr Jose Luis FERNANDEZ-MARQUEZ, University of Geneva
Contribution to the Sustainable Development Goals
