Raw LLM Responses
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in
Correct, but it misses also a huge part of the problem.The ripples, the side eff…
7464952935957…
in
Exactly. The real question isn’t what AI can do, but who controls it and how the…
7465024374396…
in
Sanders asks the right question — and immediately retreats from it. "Who decides…
7465664544707…
in
There is a new reality that we as humans need to learn how to deploy. Evolving t…
7465054159671…
in
In the context of AI, informal data stewards are the people catching the problem…
7455462971734…
in
If task is vague, they complete the wrong thing fast. The hands need guardrails.…
7464694646338…
in
As AI becomes more influential in everyday life, keeping human dignity, responsi…
7465583257611…
in
hey the biggest leap we need in ai right now isnt just better capabilities its m…
7467021690854…
Comment
There can’t be anything more demoralising to a lecturer than marking work you can clearly see is AI-generated but it can’t be conclusively proved by available integrity software. How is it even possible to allocate a fair mark in those circumstances, especially when there is a clear disjoint between the standard of the student’s usual performance in class and the standard of the dissertation submitted. A possible solution is to call for an oral defence of the work.
LinkedIn
AI Research & Models
Doctor of Laws, Practising Attorney (Commercial…
2026-05-23T11:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | fairness |
| Secondary value | accountability |
| Alignment target | individual_users |
| Stance | demanding |
| Emotion | outrage |
| Value justification | The speaker wants AI-generated work to be identifiable and fairly marked, implying a desire for fairness in assessment. |
| Target justification | The target of the speaker's concern is the individual student, whose usual performance in class may not reflect the standard of their submitted dissertation. |
| Coded at | 2026-06-11T08:01:24Z |
Raw LLM Response
```
{
"value_primary": "fairness",
"value_secondary": "accountability",
"target": "individual_users",
"stance": "demanding",
"emotion": "outrage",
"value_justification": "The speaker wants AI-generated work to be identifiable and fairly marked, implying a desire for fairness in assessment.",
"target_justification": "The target of the speaker's concern is the individual student, whose usual performance in class may not reflect the standard of their submitted dissertation."
}
```