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How to Stress-Test AI Content

  • Tutorial
  • Künstliche Intelligenz (KI) in der Technischen Kommunikation
  • 10. November
  • 09:00 AM (MEZ) - 10:00 AM (MEZ)
  • C7.3
  • Mira Vogel

    Mira Vogel

    • SAP SE
  • Gabriele Buchner

    Gabriele Buchner

    • SAP SE

Inhalt

LLMs can quickly generate fluent and polished content, but it often looks better than it is. We'll show what to look for when generating and working with AI output, how to avoid common pitfalls and how to stress-test AI content for relevance, quality, clarity, and responsibility. We’ll also discuss how human involvement still matters: Not just for checking text, but for shaping tone, intent, and responsibility.

Das lernen Sie

Learn to look at AI-generated text from a different angle, spot its common weaknesses, and use that knowledge to avoid typical AI traps and improve your own content.

Referent:innen

Mira Vogel

Mira Vogel

  • SAP SE
Biografie

Mira Vogel holds a master’s degree in Translation Science from Heidelberg University and is currently working as a project manager, translation consultant, and technical translator at SAP SE in Walldorf. She has been involved in designing and shaping tools and processes for software translation within SAP and is currently exploring ways to implement generative AI in the field of technical communication. Recently, she has also been focusing on designing digital assistants and prompt engineering techniques.

Mira Vogel holds a master’s degree in Translation Science from Heidelberg University and is currently working as a project manager, translation consultant, and technical translator at SAP SE in Walldorf. She has been involved in designing and shaping tools and processes for software translation within SAP and is currently exploring ways to implement generative AI in the field of technical communication. Recently, she has also been focusing on designing digital assistants and prompt engineering techniques.

Gabriele Buchner

Gabriele Buchner

  • SAP SE
Biografie

Gabi Buchner is an experienced translator, writer, and trainer with a strong focus on integrating AI into language-centric workflows. With a background in conversation design for AI assistants, she leads innovative projects at SAP that explore how large language models and AI agents can support writing, translation, and terminology work. She regularly runs prompting workshops and training sessions to help professionals develop practical skills in generative AI. Gabi also addresses the multilingual, multicultural, and ethical dimensions of AI assistants and has shared her insights through blogs and talks at global conferences.

Gabi Buchner is an experienced translator, writer, and trainer with a strong focus on integrating AI into language-centric workflows. With a background in conversation design for AI assistants, she leads innovative projects at SAP that explore how large language models and AI agents can support writing, translation, and terminology work. She regularly runs prompting workshops and training sessions to help professionals develop practical skills in generative AI. Gabi also addresses the multilingual, multicultural, and ethical dimensions of AI assistants and has shared her insights through blogs and talks at global conferences.

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