Raw LLM Responses
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in
I’m amazed by everything you’ve done, including your well deserved Nobel Prize, …
7463394877146…
in
Thanks for emphasizing "a process of shared discernment.” In that context, it is…
7465042436466…
in
Matthew, this is an important moment. AI is no longer just technical or regulato…
7465530366959…
in
The real AI race is shifting from performance leadership to infrastructure indep…
7463513643134…
in
This is a powerful perspective. AI’s real value in research may be less about re…
7466276061354…
in
Very relevant perspective — AI creates the most value when it augments skilled p…
7464951806138…
in
OpenAI’s new reasoning model produced a novel proof disproving a long‐standing E…
7467042520544…
in
AI can reduce the time spent finding information. Deciding what to trust remains…
7467485767297…
Comment
Geographic anchoring may take care of logistical routing but at the same time erase a patient's biological identity by defaulting to Western clinical baselines by increasing genetic and biological blind spots. Medical AI safety requires decoupling genetics from location, prompting for both the physical location of the patient and their specific ethnic health predispositions. This problem is already existing example where patient of different ethinicty vists a GP in a different geograhical location My view is that Medical AI would be more efficent on regional flavour rather than one solution fits all
LinkedIn
AI Safety & Risk
AI Product & Programme Manager | AI Governance …
2026-06-01T01:0…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | safety |
| Secondary value | fairness |
| Alignment target | vulnerable_groups |
| Stance | demanding |
| Emotion | outrage |
| Value justification | The speaker emphasizes the need for medical AI safety, highlighting the issue of geographic anchoring that can lead to biological identity erasure and increased genetic and biological blind spots. |
| Target justification | The speaker is concerned about the impact of medical AI on patients from different ethnicities and geographical locations, indicating a focus on vulnerable groups. |
| Coded at | 2026-06-11T08:35:23Z |
Raw LLM Response
```json
{
"value_primary": "safety",
"value_secondary": "fairness",
"target": "vulnerable_groups",
"stance": "demanding",
"emotion": "outrage",
"value_justification": "The speaker emphasizes the need for medical AI safety, highlighting the issue of geographic anchoring that can lead to biological identity erasure and increased genetic and biological blind spots.",
"target_justification": "The speaker is concerned about the impact of medical AI on patients from different ethnicities and geographical locations, indicating a focus on vulnerable groups."
}
```