Raw LLM Responses
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in
If there are follow- up studies, I would gladly volunteer for the control group …
7463556725057…
in
Matthew Kilkenny This really resonates. What stands out to me is how much of thi…
7466109742659…
in
This points to a deeper shift than cost curves. What’s breaking isn’t just the p…
7424109776378…
in
"I used to worry AI would take our jobs. Now I worry it will make us do cardio f…
7463949895175…
in
"Aligned to whose values" is the question the field has been avoiding precisely …
7466489182429…
in
AI is always 1 step ahead... may not be in the right direction though…
7467698973168…
in
This gets me thinking in lot of other examples of hidden inference Name in promp…
7466763853373…
in
srsly...the Emperor's church as the moral high ground 🤣 ...the image implies the…
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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."
}
```