Raw LLM Responses
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in
I'm not really sure how this is news at this point... If you have been a consist…
7468808599201…
in
Thanks Qi Han Wong, very interesting!This maps very directly to legal AI too. La…
7466916404416…
in
Interesting development. I think we really need to take this movement seriously.…
7468689884321…
in
The second people stop anthropomorphizing the technology and start holding the h…
7465481531504…
in
I converged on the community of Ai governance from a theory I formulated and I d…
7466481519231…
in
I will say this. I can understand this analogy - for sure. It makes sense (as do…
7465108799117…
in
I'm glad OpenAI and the Vatican are in sync, but I'm skeptical of the AI corps o…
7465011472990…
in
I agree. Most students are not trying to break the rules, they are trying to nav…
7466111267821…
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."
}
```