Contents
Introduction
Protection of algorithms
- What is an algorithm (legally speaking)?
- How do algorithms work?
- How can the development of algorithms be legally protected?
Protection of deep learning
- How does deep learning work?
- How can deep learning be legally protected?
Liability issues with AI
- Manufacturer's liability.
- Operator liability.
- AI as a vicarious agent.
- Credit risk.
- AI with its own legal personality.
- Embedded Law "Super code".
EU regulation on AI
- Area of application: High-risk systems.
- Requirements for the AI system.
- Prohibited AI practices (blacklist).
- Sanctions.
Data Protection
Data as the basis for AI, in particular Art. 22 GDPR - Section 31 BDSG (scoring).
Data collection by means of data mining.
Information/transparency obligations.
Contract design (AVV for KI).
Privacy by design - by default.
Learning environment
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
Your benefit
- In-depth overview of legally relevant issues in connection with AI.
- Support in the legally compliant design of projects and concepts with AI.
- Early identification and avoidance of errors and liability risks.
- Possibility to clarify individual questions with experts.
Methods
Lecture, presentation, discussion, case studies and checklists.
Recommended for
Specialists and managers, lawyers, AI developers, mathematicians, engineers and people who implement concepts and projects with AI in companies and require legal knowledge.
Start dates and details

Thursday, 20.11.2025
09:00 am - 5:00 pm

Wednesday, 25.02.2026
09:00 am - 5:00 pm