Raw LLM Responses
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in
This is a helpful way to explain the AI stack. LLMs think, RAG retrieves, Agents…
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in
Darren Holland, building AI that scales responsibly is the real challenge ahead.…
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This is where AI gets interesting to me — not as one tool trying to do everythin…
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"The proactive thrive. The passive get displaced." Since when this is a new tren…
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in
This is the part many organisations still underestimate. AI itself is not the st…
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For entry level positions AI isxa big threat because their tasks are typically t…
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in
AI should serve the common good of all humanity. Its purpose should be to expand…
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in
"Though the AI-assisted test-takers had a higher solve rate than the control gro…
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Comment
Sabrina N. I don't think there is any one solution. I don't think bans and the use of AI detection are the way to go. They are not meaningfully enforceable or fit for purpose, respectively. It's clear at this stage that assessment needs to change. The days of relying on artefacts as stand-ins for learning are probably over (and that has been well overdue for some time, as someone who has been investigating contract cheating for years). If for some reason a university wants to use a report or an essay for the purposes of assessment, they can either, a) use it as a purely formative exercise (remove the value of cheating), b) watch the student write it, or c) make the assessment a face-to-face conversation about the document rather than the document itself. Ultimately, universities need to be spending more time having conversations with students about their learning, and these conversations should be the assessment.
LinkedIn
General AI Discourse
Integrity Investigator & Data Scientist | Assur…
2026-05-28T04:2…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | human_autonomy |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the need for universities to focus on conversations with students about their learning, implying a desire for human judgment and autonomy in the assessment process. |
| Target justification | The speaker is primarily concerned with the impact of AI on individual students and their learning experience, as evident from their suggestions for alternative assessment methods. |
| Coded at | 2026-06-11T08:26:26Z |
Raw LLM Response
```json
{
"value_primary": "human_autonomy",
"value_secondary": "none",
"target": "individual_users",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the need for universities to focus on conversations with students about their learning, implying a desire for human judgment and autonomy in the assessment process.",
"target_justification": "The speaker is primarily concerned with the impact of AI on individual students and their learning experience, as evident from their suggestions for alternative assessment methods."
}
```