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in The standardization value of MCP connecting disparate systems cannot be overstat… 7464648662749… in Spatial equity remains a critical concern in urban planning today. Algorithmic t… 7465158041915… in Beautifully said. The point about slow reading feels essential. A document conce… 7464995772388… in John Reeks I have mixed feeling on the impact on education. I have used LLMs to … 7464934205983… in Correct, but it misses also a huge part of the problem.The ripples, the side eff… 7464952935957… in I agree that we need to examine not only what AI can do, but what organizational… 7466125104671… in If Anthropic engineers vibe code and their product is getting insane hype, you k… 7468670127421… in Matthew Kilkenny Thank you Matthew. Roman Yampolski says AI safety is unsolvable… 7465240065565…

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."
}
```

Raw LLM Responses