Raw LLM Responses
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in
“Just the beginning” See THE HEROES AGENTIC AI I’ve been part of this journey fo…
7464253218248…
in
Mehran Shovkati that's a fair point. AI gives you the answer. SO forced you to u…
7466906209707…
in
I am convinced the prices will only increase as the constraints surrounding AI s…
7465431548301…
in
Strong point on agents.Thank you, Demis. My conviction is that the next governan…
7463321134097…
in
Keryann Granet It is here to stay, but with this technology. Are we leaving a be…
7465305290649…
in
AI impacts work, but human compliance expertise is crucial. Navigating TTB and s…
7464166813048…
in
Abu Dhabi targeting 50% of government operations run by autonomous AI agents is …
7464647546527…
in
Sure, and when I use it to have sophisticated language discussions and to reflec…
7464544677707…
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."
}
```