AI’s Impact on Technical Authoring: Evolution or Extinction?
- Presentation
- Artificial Intelligence (AI) in Technical Communication
- 06. March
- 16:10 - 16:55 PM (CET)
- Sandra
- finished Presentation Slides
-
Matthias Gutknecht
- STAR AG
Contents
The digitalization of technical communication requires digital interpretability of content. With the new generative AI there are three options:
1) AI Preprocessing during authoring: Applying AI to create intelligent content by assisting professional technical authors in content structuring and by extracting metadata to provide good digital interpretability and support precise answers to queries
2) AI Postprocessing during content delivery: Having subject matter experts write only lightly structured non-intelligent content and apply AI during content delivery to get better answers to queries and to enhance content interpretation
3) Blend of 1) and 2)
All three approaches are illustrated with examples and evaluated with their pros and cons.
Takeaways
- Examples of augmented technical authoring with AI approaches
- Examples of AI driven interpretation of non-intelligent content
- Pros, cons and recommendations of AI models for different scenarios in intelligent content processing
Prior knowledge
Basic knowledge of (generative) AI (ChatGPT, Bard, Bing Copilot, etc.).