Raw LLM Responses
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Library Learns Workers now are doing this. Memorizing code syntax will not be a …
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This hits the core of the issue, Matthew Kilkenny. Technology is never morally n…
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Shipping 8x more code is just faster interpolation, not true recursive self-impr…
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Do you honestly think it naturally follows that the net result will be AI, robot…
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Last week I used ChatGPT to bake a cheesecake. Yesterday I polished my cover let…
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Human Centric frameworks that puts AI-Forward is a good balance. But orgs who pu…
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Mohammed Shakeer Mohammed Shakeer The prevailing theory is that AI generated pro…
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Pradeep Sanyal You just defined the exact battlefield of next-gen AI Governance,…
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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."
}
```