March 14 2025
9:00 am - 12:00 pm
Online
Highlights

The use of AI in publishing houses is now a reality - but how do you make it legally compliant and future-proof? In our exclusive expert webinar, you will find out what really matters when implementing AI systems. Our experts show:

  • The impact of the EU AI Act and how to minimize legal risks
  • The importance of AI literacy and corporate culture for successful AI integration
  • Best practices and technologies that make AI transparent and safe

Register now for free!

 

Please note that the webinar will be held in German. 

Participate

Registration takes place externally via the following link.
Register now for free

Agenda

Welcome

Governance, Transformation and Training - what is important when building sustainable AI strategies

  • What it's about:
    • The time of funny prompting is over - now publishers are faced with the challenge of effectively integrating AI into their business so that real added value is created
    • But how do you create a sustainable AI strategy that creates real business cases, minimizes risks and at the same time strengthens your own competitiveness?
  • In this presentation, you will find out what really matters:
    • Governance & compliance - What the EU AI Act means for publishers and what the rules of the game are now
    • Transformation & culture - How to successfully integrate AI into structures and processes
    • Technology & Training - The right tools, the necessary know-how and AI literacy as an obligation and an opportunity

Whether content production, sales or new business models - AI can bring real benefits to publishers. The right strategy is needed to ensure that it becomes a productivity booster rather than a risk factor.

AI in everyday editorial work: Technological strategies for the safe use of AI

  • AI use cases considered holistically along the phases of the content lifecycle
  • Safe handling of AI
    • AIDevOP processes at Xpublisher: fulfillment of the BSI-AIC4 requirement
    • Integration of AI technologies in Xpublisher
      • Technological overview
      • LLM models for use in editing and proofreading processes
      • What is a RAG model, how does it work and what are the advantages?
      • Dealing with hallucinations in an AI
      • Implementable AI use cases
      • Transparency: making AI applications visible to users and mandatory labeling of AI-generated content
    • Effects for everyday editorial work
      • Protection against copyright infringements
      • Reduction of potential liability risks due to incorrect information
      • High degree of transparency and labeling through AI generated content

Final discussion

To conclude, we will discuss trends and developments together. Our experts will answer specific questions in the Q&A session.

 

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