Raw LLM Responses
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in
As AI becomes more influential in everyday life, keeping human dignity, responsi…
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in
I'm surprised Laura the AI director is called it chatGPT when it's actually open…
7466823924958…
in
I hope they found a reliable Ai that doesn’t hallucinate at all. Sounds like a m…
7464637181991…
in
This is brilliant but also uncomfortable for the right reasons. The joke lands b…
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in
Most people still use AI like a chatbot, while the real value starts when it bec…
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in
Luís, AI becomes much clearer when you see it as one connected system instead of…
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in
Pope Leo XIV's encyclical "Magnifica Humanitas" just gave a moral megaphone to t…
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The real work task on day one is the instruction that separates this from every …
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Comment
In the context of AI, informal data stewards are the people catching the problems that models will eventually amplify. The person who documents dataset quirks before they become training data assumptions is doing governance work that no formal review process will surface in time. That behaviour has always mattered, but even more now.
LinkedIn
AI Ethics & Trust
Co-Founder & CTO | Turning AI, Data & Platform …
2026-04-30T03:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the importance of informal data stewards in catching problems that AI models may amplify, highlighting the need for accountability in AI development. |
| Target justification | The target of the speaker's concern is individual users, specifically informal data stewards, who are responsible for ensuring the quality and reliability of data used in AI models. |
| Coded at | 2026-06-11T07:54:51Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "individual_users",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the importance of informal data stewards in catching problems that AI models may amplify, highlighting the need for accountability in AI development.",
"target_justification": "The target of the speaker's concern is individual users, specifically informal data stewards, who are responsible for ensuring the quality and reliability of data used in AI models."
}
```