Can you take AI at its word?
AI agents may provide flawed explanations of their work, which is a concern for designers. This issue matters because it affects the trustworthiness of AI outputs.
Original reporting · uxdesign.cc
Read “Can you take AI at its word?” at UX Collective →
How this was written. Awesome B2B Design wrote this article with a language model from UX Collective’s reporting (model: @cf/meta/llama-3.3-70b-instruct-fp8-fast); it describes that reporting rather than adding to it. The original, linked above, is the full story.
Key points from UX Collective’s report
- AI agents can provide fluent but incorrect explanations of their work.
- Designers have stopped trusting certain types of explanations from people and may need to apply similar skepticism to AI agents.
- The issue of flawed explanations from AI agents is a concern for designers.
Designers have learned to be cautious when relying on explanations provided by people, and it appears that a similar skepticism is warranted when dealing with AI agents.
AI agents are capable of explaining their own work in a fluent manner, but this does not necessarily mean that their explanations are accurate.
The fact that AI agents can provide incorrect explanations raises important questions about the trust that can be placed in their outputs, and designers are taking notice. This article is based on reporting by UX Collective.
Questions and answers
Can AI agents explain their work fluently?
Yes, AI agents can explain their work fluently.
Are AI agents' explanations always accurate?
No, AI agents' explanations are sometimes wrong.
