Generative AI (ChatGPT), GDPR, and the EU AI Act: Exploring Concepts, Relationships, and Industry Use Cases

None

• Gain a foundational understanding of Generative AI and ChatGPT, including their industry applications.
• Understand the essential principles of GDPR and the EU AI Act and their impact on Generative AI and ChatGPT.
• Explore the relationships between Generative AI, GDPR, and the EU AI Act, focusing on industry-specific compliance strategies.
• Analyze and apply industry use cases of Generative AI and ChatGPT within the boundaries of GDPR and the EU AI Act.

Module 1: Introduction to Generative AI, ChatGPT, and Machine Learning

• Overview of Generative AI and ChatGPT fundamentals.
• Key industry applications and use cases.
• Basic AI/ML concepts within the framework of regulatory compliance.

Module 2: Understanding GDPR and the EU AI Act

• Key GDPR principles relevant to Generative AI.
• Overview of the EU AI Act and its implications for AI development.
• Ethical and legal considerations in AI, focusing on GDPR and the EU AI Act.

Module 3: Navigating the Intersection of Generative AI, GDPR, and the EU AI Act

• How GDPR and the EU AI Act influence the use of Generative AI and ChatGPT.
• Strategies for ensuring compliance in AI projects.
• Practical steps for integrating GDPR and AI Act requirements into AI initiatives.

Module 4: Deploying Generative AI and ChatGPT in a Compliant Manner

• Best practices for data processing and international transfers under GDPR.
• Addressing security risks and data breaches in AI projects.
• Ensuring compliance across the AI lifecycle, from development to deployment.

Module 5: Record of Processing Activities (GDPR Register - Art. 30) and GDPR Audits

• Establishing and maintaining GDPR Register for AI projects.
• Preparing for GDPR audits with a focus on Generative AI and ChatGPT.
• Case studies on audit readiness and lessons learned from GDPR-compliant AI projects.

Module 6: Industry Integration of Generative AI and ChatGPT

• Practical guidance on integrating Generative AI models into software applications.
• Compliance management for AI model lifecycle: development, deployment, and updates.
• Real-world industry use cases highlighting compliant AI integration.

Module 7: Case Studies and Practical Exercises

• Analysis of industry-specific case studies to apply GDPR and EU AI Act concepts.
• Hands-on exercises to assess and ensure compliance in Generative AI and ChatGPT projects.
• Discussion on overcoming compliance challenges in diverse industry scenarios.

Module 8: Future Trends and Continuous Compliance in Generative AI

• Strategies for ongoing monitoring and auditing of AI projects under GDPR and the EU AI Act.
• Preparing for future developments in AI regulation.
• Building a culture of compliance and ethical AI use within industry settings.

Over the course of two days, participants will gain a comprehensive understanding of Generative AI, including ChatGPT, and how these technologies interact with the regulatory frameworks of GDPR and the EU AI Act.

Day 1 introduces the fundamental concepts of Generative AI and its industry applications, emphasizing the ethical and legal considerations imposed by GDPR and the EU AI Act. Participants will learn how to navigate these regulations to ensure compliant deployment and data processing in AI projects.

On Day 2, the focus shifts to the practical implementation of these concepts, with detailed guidance on maintaining a Record of Processing Activities (GDPR Register - Art. 30) and preparing for GDPR audits. Through real-world case studies and hands-on exercises, participants will explore how to integrate Generative AI into industry applications while ensuring compliance across the AI lifecycle, ultimately equipping them to manage ongoing regulatory challenges and prepare for future developments.

Methodology based on Active Learning: 50% minimum practice. Each theoretical point is systematically followed by examples and exercises.

Continuous monitoring

Certificate of end of course