Webinar
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AI update: focus on data privacy and employment law

Legal requirements for practical implementation

This webinar is held in German.
Nothing is currently revolutionizing the world of work as much and as quickly as the use of artificial intelligence (AI). Many companies have already integrated AI and are using it in a wide variety of areas. However, while trends and technologies are virtually overtaking each other, the legal framework is often lagging behind. This makes it all the more important to stay up to date in order to be able to act confidently. Our webinar will give you, as a specialist and decision maker in the field of data privacy and employment law, a compact overview of the latest developments and legal requirements. Experienced experts will impart in-depth specialist knowledge and provide practical insights into the use of AI in companies. In addition to current trends and legislative initiatives at national and EU level, the webinar also offers the opportunity for interactive exchange and discussion of specific issues.

Contents

Further training in accordance with AI Regulation Art. 4 for the obligation to provide evidence of AI competence

Keynote: AI and law - where is the journey heading? 

  • Overview of the latest developments and trends in the field of artificial intelligence.
  • Examination of current legislative initiatives and regulatory measures at national and EU level.
  • Opportunities and risks for companies.
  • Impulses for ethical evaluation: Balance between "technically possible" and "ethically justifiable".

 

Employment law: Employment law challenges in the age of AI

  • At a glance: Employment law principles for the use of AI. 
  • The new risk classification of the EU AI Regulation. 
  • Evaluation of individual AI modules, e.g. chatbots, from an employment law perspective. 
  • Liability issues in the event of errors and the role of AI as an aid to work performance. 
  • Involvement of the works council and effects on compliance rules. 

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data privacy: data privacy and artificial intelligence: risks and legal obligations

  • Basics: GDPR requirements for AI processes, such as data minimization, purpose limitation and consent. 
  • Requirements: data privacy(DPIA), "privacy by design" and "privacy by default". 
  • Risks: Bias and discrimination in AI systems, requirements for high-risk AI systems. 
  • Practice: Handling pseudonymized and anonymized data as well as practical checklists for compliance. 

 

Discussion round/workshop: Practical questions and individual challenges

Concluding exchange with focus on: 

  • Practical examples of AI applications (e.g. application processes, monitoring). 
  • Clarification of individual questions and discussion of legal challenges. 
  • Joint reflection and networking. 

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

  • You will receive a compact overview of the current legal framework for the use of AI.
  • You know what you need to consider in the areas of employment law and data privacy and where the limits lie.
  • You will have the opportunity to discuss specific issues with experienced experts.
  • The keynote speaker will also provide you with valuable input on ethical evaluation.
  • They get a feel for the balance between "technically possible" and "ethically justifiable".

Methods

Lecture, presentation, exchange of experiences, workshop.

Recommended for

Specialists and managers, decision makers and all people who come into contact with AI in their daily work.

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Joint online training
Booking number
41279
€ 840,- plus VAT
1 day
Online
on 03.11.2025
German
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03.11.2025
Live-Online
Booking number: 41279
€ 840,- plus VAT.
€ 999.60 incl. VAT.
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1 day
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Monday, 03.11.2025

09:00 am - 4:00 pm

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Booking number: 41279
€ 840,- plus VAT.
€ 999.60 incl. VAT.
Details
1 day
Limited number of participants
Booking number: 41279
€ 840,- plus VAT.
€ 999.60 incl. VAT.
Details
1 day
Limited number of participants
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