Raw LLM Responses
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in
A compelling glimpse into where value creation is heading. Agentic AI, multimoda…
7463307897221…
in
Really thoughtful framing I don’t think AI can be “disarmed” in the sense that c…
7465028726636…
in
This is the correction phase of the AI hype cycle that many experienced engineer…
7465065210773…
in
Strong perspective. A lot of AI discussions still focus primarily on capability,…
7464960982323…
in
#NewYorkState Capitol: #EnergyEfficient #HumanCentered #AI-#Quantum #Innovations…
7466516181236…
in
"Though the AI-assisted test-takers had a higher solve rate than the control gro…
7464409529749…
in
Scott Schobert Totally agree! This is a major concern that is surfacing right no…
7468743178913…
in
Imagine explaining your job in 2036: “I don’t build products anymore - I generat…
7464363003648…
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."
}
```