Raw LLM Responses
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in
Congratulations Demis! We’re working on a new AI cognition model that represents…
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This is one of the most practical breakdowns I've seen on getting started with C…
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in
The most important decisions in AI are no longer about capability, they are abou…
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To your question, Matthew Kilkenny: As with all transformative technologies, we …
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Hey Pascal, your thoughts on purpose and dignity in work really hit home. How do…
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Clara Hawking This really resonates. In an always on age of AI, there’s a pressu…
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in
The real shift may not be “one AI tool versus another AI tool”. It may be workfl…
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The strongest part here is the sequencing from context → personalization → integ…
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Comment
Evan Hunter Evan the nuclear analogy lands hard because it's exact. We didn't let private companies self-regulate fissile material and call it innovation. The distinction that made nuclear different was that governments understood the catastrophic downside before widespread deployment — not after. The governance infrastructure preceded the technology at scale. AI governance is running in reverse. The technology is deployed at scale while the governance infrastructure is still being argued about in congressional hearings. Your point about C-suite and board accountability preceding vendor accountability is right — the problem is most boards don't yet have the technical literacy to ask the right questions. Which creates a gap that vendors fill with their own risk framing. The Vatican moment matters because it's one of the architects saying publicly that the internal accountability structure is insufficient. That's the signal boards should be acting on right now.
LinkedIn
AI Safety & Risk
Healthcare IT & Blockchain Strategist | AI × He…
2026-05-28T11:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | safety |
| Alignment target | society |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the need for outside scrutiny and governance infrastructure to prevent catastrophic downsides, highlighting the importance of accountability in AI development. |
| Target justification | The speaker discusses the impact of AI governance on society as a whole, referencing the need for boards and governments to take action to ensure accountability and safety. |
| Coded at | 2026-06-11T08:27:19Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "safety",
"target": "society",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the need for outside scrutiny and governance infrastructure to prevent catastrophic downsides, highlighting the importance of accountability in AI development.",
"target_justification": "The speaker discusses the impact of AI governance on society as a whole, referencing the need for boards and governments to take action to ensure accountability and safety."
}
```