Raw LLM Responses
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in
(sadly, the article is behind a paywall, so I don't know what it says... but I h…
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Incredible pace of progress and some genuinely important breakthroughs especiall…
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Abu Dhabi goes beyond the adoption of AI - it is re‐architecting the very idea o…
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I believe this is misplacing AI skepticism. pretty soon, there will be no discer…
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Library Learns Workers now are doing this. Memorizing code syntax will not be a …
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Very relevant. The easiest thing to copy today: UI + feature layer. The hardest …
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This post captures why point solutions fail in enterprise environments. Real AI …
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It is the responsibility of all governments in the world to NOW care for their p…
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Comment
William Waites I am really currious to hear from the Academic Integrity officers that will work on this wave of assessments and dissertations because the agentic revoluction, claude cowork/code, and OpenAI codex have diffused very recently and they offer a new level of options that are starting to percolate down to students. It is probably a minority of students using them effectively, but I found a few in my narrow sample of dissertations, if you extrapolate from that it should be around 20-30%. And they generate a new level of complexity in academic integrity forensic, as I explained in other replies, they can be used to avoid mechanical fake references, but concept stretching and erronous content hallucination requires manual checking that might slip through, and might actually be harder for the student to spot even if they read the source because they are trusting the AI so much thet they might end up missunderstanding the source.
LinkedIn
AI Research & Models
Senior Lecturer at University of Southampton
2026-05-26T16:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | unclear |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | skeptical |
| Emotion | unclear |
| Value justification | The speaker is concerned about the potential for AI to generate complex and convincing but erroneous content, which could undermine academic integrity. |
| Target justification | The speaker is focused on the impact of AI on individual students, particularly those who may be using AI tools to generate content for their dissertations. |
| Coded at | 2026-06-11T08:18:01Z |
Raw LLM Response
```
{
"value_primary": "academic_integrity",
"value_secondary": "none",
"target": "individual_users",
"stance": "skeptical",
"emotion": "concern",
"value_justification": "The speaker is concerned about the potential for AI to generate complex and convincing but erroneous content, which could undermine academic integrity.",
"target_justification": "The speaker is focused on the impact of AI on individual students, particularly those who may be using AI tools to generate content for their dissertations."
}
```