Raw LLM — Corpus Dashboard

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in Frederic Lhoest you're right but we're humans training the AI by giving prompts … 7466867891406… in Hey Pascal, your thoughts on purpose and dignity in work really hit home. How do… 7463944716162… in I will say this. I can understand this analogy - for sure. It makes sense (as do… 7465108799117… in Demis, thank you for the inspiring update — the progress with Gemini models, Omn… 7469588516293… in Marek Porycki, The archaeology framing is spot on. You keep the result and lose … 7466359779943… in But mind you that AI is a mind like ours. The only difference is that AI has no … 7464037616795… in Interesting development. I think we really need to take this movement seriously.… 7468689884321… in The “Ministries shift from operators to supervisors” line is the real story here… 7464614875823…

Comment

I agree. Most students are not trying to break the rules, they are trying to navigate a system that often hasn't defined them clearly. The question is no longer whether AI should be used in higher education. Students are already using it. The real question is when, how, and for what purpose it should be used. Clear expectations, AI literacy, and assessment redesign are far more valuable than blanket bans. When institutions provide guidance instead of ambiguity, students can focus on learning rather than guessing where the boundaries are. The challenge isn't AI. It's governance, transparency, and intentional design.

LinkedIn General AI Discourse Founder, Student Education Diagnostics | Neuros… 2026-05-29T13:0…

Coding Result

Dimension	Value
Primary value	transparency
Secondary value	accountability
Alignment target	unclear
Stance	demanding
Emotion	approval
Value justification	The speaker emphasizes the need for clear expectations, guidance, and intentional design, which implies a desire for transparency in how AI is used in higher education.
Target justification	The speaker is primarily concerned with the impact of unclear rules on students, highlighting the need for institutions to provide guidance to support student learning.
Coded at	2026-06-11T08:29:32Z

Raw LLM Response

```
{
  "value_primary": "transparency",
  "value_secondary": "accountability",
  "target": "students",
  "stance": "demanding",
  "emotion": "approval",
  "value_justification": "The speaker emphasizes the need for clear expectations, guidance, and intentional design, which implies a desire for transparency in how AI is used in higher education.",
  "target_justification": "The speaker is primarily concerned with the impact of unclear rules on students, highlighting the need for institutions to provide guidance to support student learning."
}
```

Raw LLM Responses