Raw LLM Responses
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in
What’s fascinating is watching defense, finance, enterprise AI, and even the Vat…
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in
This is technologically impressive. But there is a profound difference between a…
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Matthew P. Your point about AI governance running in reverse is well made. Thank…
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Love this insight! That's why thorough testing against good data will be the onl…
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in
What feels impossible today often becomes normal surprisingly fast in technology…
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Pascal BORNET The most important AI decisions today are about governance, owners…
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in
Geographic anchoring may take care of logistical routing but at the same time er…
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TBF, I can't think of a single company I would trust to self-regulate on anythin…
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Comment
This is a major signal. What is emerging is not only a new generation of models, but a more integrated operating layer for AI: search, coding, science, content, agents, security, payments and user environments beginning to converge. That makes the governance question deeper than capability. As AI systems become more agentic and more embedded across everyday tools, institutions and users will need clear answers about data access, permissions, traceability, accountability and the ability to interrupt, contest or reverse action. The path toward more capable AI will also depend on whether governance can scale with the environments in which these systems operate.
LinkedIn
AI Safety & Risk
Vice-President, Council for Innovation, Digital…
2026-05-21T23:3…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | transparency |
| Alignment target | society |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the need for clear answers about data access, permissions, traceability, and accountability as AI systems become more integrated and agentic. |
| Target justification | The speaker mentions institutions and users, indicating a focus on the broader societal implications of AI governance. |
| Coded at | 2026-06-11T07:57:03Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "transparency",
"target": "society",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the need for clear answers about data access, permissions, traceability, and accountability as AI systems become more integrated and agentic.",
"target_justification": "The speaker mentions institutions and users, indicating a focus on the broader societal implications of AI governance."
}
```