~/panel

Panel Talk

on YouTube 45m
Panelat Compass UX Session 2025 · on Thursday, 2025-11-27· [large-language-models, ai-assisted-development]

speakers

name:Pontus Wärnestål
linkedin:pontuswarnestal
name:Rasmus Sanko
linkedin:rasmussanko
name:Melanie Buset
linkedin:melanie-buset-52b29969
name:Jane Vita
linkedin:janevita

resources

video:https://youtu.be/0L2y3QT3OHI
slides:none on file

summary

Panelists focus on concrete tradeoffs: mainstream LLMs like OpenAI ChatGPT and Google Gemini come with embedded corporate value prompts and a claimed 38% hallucination rate, so outputs require human QA; a prototype used 64 interviews to create a 64-interview synthetic user that proved conceptually useful but risks losing validity; a strategic foresight exercise produces three startup scenarios in 3 days versus a month by hand; legal risk feels like buying stolen goods when models train on scraped copyrighted work.

AI-written summary · about

chapters (7)

  1. 0:00Panelist introductions
  2. 1:27Ethical risks in AI design
  3. 13:51AI research vs hallucinations
  4. 26:59AI-generated design ownership
  5. 33:00AI impact on junior designers
  6. 38:41Teaching AI literacy
  7. 45:05Closing remarks & Q&A

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