Raw LLM Responses
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in
This hits the core of the issue, Matthew Kilkenny. Technology is never morally n…
7465079911347…
in
The giveaway is the phrase “overworked AI.” You cannot overwork an AI in the hum…
7463950133739…
in
The real question behind AI is exactly right, who benefits and who sets the dire…
7465690499882…
in
What solution do the Pope and Olah propose? To make AI Catholic?! Will Bin Salma…
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in
I looked at the comments section here to check how many people tolerate and appr…
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in
This gets me thinking in lot of other examples of hidden inference Name in promp…
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in
That headline is doing work the study never asked for. The MIT “Your Brain on Ch…
7464304238295…
in
Relying too much on AI gonna backfire job seekers only, yea once you get the job…
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Comment
Aaron H Indeed it does not sure what you mean by the “handful of people” : the “Call to Rome : AI ethics” united almost all the faith and Philosopies in the world 🌍 In 2024 on the 80th Anniversary of the Atomic bomb?
LinkedIn
AI Safety & Risk
AI Ethics Advisor • LinkedIn Ethical AI top Voi…
2026-05-27T06:3…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | none |
| Secondary value | none |
| Alignment target | society |
| Stance | optimistic |
| Emotion | approval |
| Value justification | The comment does not explicitly express a value preference for AI. |
| Target justification | The speaker mentions a global event, 'the Call to Rome : AI ethics', which suggests a focus on society as a whole. |
| Coded at | 2026-06-11T08:21:26Z |
Raw LLM Response
```json
{
"value_primary": "none",
"value_secondary": "none",
"target": "society",
"stance": "optimistic",
"emotion": "approval",
"value_justification": "The comment does not explicitly express a value preference for AI.",
"target_justification": "The speaker mentions a global event, 'the Call to Rome : AI ethics', which suggests a focus on society as a whole."
}
```