Raw LLM Responses
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in
The interesting question isn't whether recursive self-improvement happens overni…
7468689206324…
in
The biggest AI debate is no longer about capability. It is about control, incent…
7464971332422…
in
This is the correction phase of the AI hype cycle that many experienced engineer…
7465065210773…
in
This is not just digital transformation anymore — it’s institutional transformat…
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in
This is exactly the leadership question we need to ask more often. AI capability…
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in
Jérôme Frossard You raise valid concerns, and honestly that’s exactly why conver…
7463924199292…
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This is brilliant but also uncomfortable for the right reasons. The joke lands b…
7464655645322…
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"Though the AI-assisted test-takers had a higher solve rate than the control gro…
7464409529749…
Comment
Thanks Qi Han Wong, very interesting!This maps very directly to legal AI too. Language is not jurisdiction. A Spanish prompt may require Argentine, Spanish, Mexican, or US law. An English contract may still be governed by Argentine law. If the model silently treats language as a proxy for geography or governing law, it may understand the risk correctly but route the answer through the wrong institutional pathway. For legal and compliance AI, explicit jurisdiction anchoring is not a detail. It is a safety layer: governing law, forum, user location, institutional authority, and role of the user all matter.
LinkedIn
AI Safety & Risk
Senior Corporate Lawyer | Independent Director …
2026-05-31T18:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | safety |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | demanding |
| Emotion | approval |
| Value justification | The comment emphasizes the importance of explicit jurisdiction anchoring as a safety layer in legal and compliance AI to prevent incorrect routing of answers. |
| Target justification | The comment highlights the need for AI systems to consider the individual user's location, institutional authority, and role to provide accurate and safe recommendations. |
| Coded at | 2026-06-11T08:35:08Z |
Raw LLM Response
```
{
"value_primary": "safety",
"value_secondary": "none",
"target": "individual_users",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The comment emphasizes the importance of explicit jurisdiction anchoring as a safety layer in legal and compliance AI to prevent incorrect routing of answers.",
"target_justification": "The comment highlights the need for AI systems to consider the individual user's location, institutional authority, and role to provide accurate and safe recommendations."
}
```