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.
Privacy notice
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
Once you have registered, you will find useful information, downloads and extra services relating to this training course in your online learning environment.
Your benefit
- The webinar offers you a well-founded overview of the legally relevant issues surrounding AI.
- They deal with the requirements for the legally compliant design of projects and concepts using AI.
- You arm yourself against errors and liability traps at an early stage.
- You will have ample opportunity to clarify your individual questions with an expert.
Methods
Lecture, presentation, discussion, case studies and checklists.
Recommended for
Specialists and managers, lawyers, AI developers, mathematicians, engineers and generally people from companies who want to implement concepts and projects with AI and need 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