Raw LLM Responses
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in
Matthew Kilkenny I asked ChatGPT where its moral compass points, and why. The an…
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Pascal BORNET The real inflection point is governance of AI driven value distrib…
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Robert Studholme in my cloister/starship class I do exactly that after forcing t…
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Wrong formula. Confident delivery. And when I objected, a calm reframe that mayb…
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Greg Manto Fair point, the pipeline connects. If the big players only build ente…
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We've seen the same thing back in the 2000s when the Internet bubble burst. So a…
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Right, weakest layer often determines success of AI stack, especially integratio…
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I will say this. I can understand this analogy - for sure. It makes sense (as do…
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Comment
Thank you for sharing this Pascal BORNET. This is where the control question becomes very real. It is not only about who owns the models or who captures the productivity gains. It is also about who sets the boundaries of what people are allowed to ask, see, verify or challenge. I ran into this today in a very ordinary way. I asked an AI system a legitimate question about a reported crime, and the system treated the question itself as potentially problematic rather than helping me understand it responsibly. Of course safeguards matter. Nobody wants AI systems enabling harm. But if a small number of companies decide, through invisible policy layers, which questions are answerable, which topics are too sensitive, and which information can be surfaced, then AI is not just a productivity tool. It becomes an information control layer. And that is why the question of “who decides?” matters so much.
LinkedIn
AI Policy & Regulation
Enterprise & Partner Sales | SaaS, IDP, AP/AR A…
2026-05-27T13:2…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | transparency |
| Alignment target | society |
| Stance | demanding |
| Emotion | outrage |
| Value justification | The speaker emphasizes the need for control and boundaries in AI decision-making, highlighting the importance of accountability in preventing harm and ensuring responsible information dissemination. |
| Target justification | The speaker's concern about who decides what gets built and who benefits from AI systems, as well as their mention of information control layers, suggests that their primary target is society as a whole, rather than individual users or organizations. |
| Coded at | 2026-06-11T08:23:40Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "transparency",
"target": "society",
"stance": "demanding",
"emotion": "outrage",
"value_justification": "The speaker emphasizes the need for control and boundaries in AI decision-making, highlighting the importance of accountability in preventing harm and ensuring responsible information dissemination.",
"target_justification": "The speaker's concern about who decides what gets built and who benefits from AI systems, as well as their mention of information control layers, suggests that their primary target is society as a whole, rather than individual users or organizations."
}
```