Raw LLM Responses
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in
Thnx for sharing your thoughts on this since that in itself moves the broader di…
7465176302447…
in
The gym membership line is gold but the question underneath it is dead serious. …
7464058726577…
in
AI is already transforming the way we work. The real question is no longer just …
7467201300720…
in
We'd better begin ramping up our human capital in the west. My decades-long plan…
7463554151877…
in
I agree with you that this deserves slow reading, not instant certainty dressed …
7464997226256…
in
The shift from isolated tutorials to open-sourcing actual enterprise-grade, prod…
7463135266371…
in
JMS -- Digital engineering (with twins and simulation) is one side of a coin tha…
7465916692578…
in
AI doesn’t replace ambitious people.It exposes passive ones. The students winnin…
7467067853167…
Comment
Great observation and analysis! That is why it's so important to ground any AI Medical tool in local clinical guidelines and escalation thresholds. You mentioned US defensive medicine culture leading to higher ER rates, but it could also very well be the model implicitly inferring closeness to hospitals (US vs Tokyo) in the case of a serious emergency and providing the better value/efficient approach. Would be useful to do an analysis of model's recommendations for rural vs urban settings (the same language/country context) to find out the exact source of its reasoning.
LinkedIn
AI Safety & Risk
Training better and more doctors with CaseCraft…
2026-05-31T09:0…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | safety |
| Secondary value | fairness |
| Alignment target | individual_users |
| Stance | demanding |
| Emotion | approval |
| Value justification | The comment emphasizes the importance of grounding AI medical tools in local clinical guidelines to ensure safe and effective care. |
| Target justification | The speaker is concerned with the impact of AI medical tools on individual users, particularly in terms of receiving appropriate medical attention. |
| Coded at | 2026-06-11T08:33:11Z |
Raw LLM Response
```json
{
"value_primary": "safety",
"value_secondary": "fairness",
"target": "individual_users",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The comment emphasizes the importance of grounding AI medical tools in local clinical guidelines to ensure safe and effective care.",
"target_justification": "The speaker is concerned with the impact of AI medical tools on individual users, particularly in terms of receiving appropriate medical attention."
}
```