Raw LLM Responses
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in
Great job! Now I'm waiting for somebody to build an AI system that consumes Link…
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in
For field robots, AI is not only about better conversation or coding. It is abou…
7463314655923…
in
Incredible updates! Seeing the staggering pace of frontier models like Gemini 3.…
7466535373645…
in
What’s emerging here is less about search evolution and more about a shift in wh…
7463926552246…
in
Thought-provoking perspective on the future of work. The real challenge isn’t ju…
7468020806074…
in
Dr.Mohamed Nagy I do not think AI is a tool anymore because of the autonomy it n…
7463376781962…
in
What's fascinating is how quickly conversations about AI capability turn into co…
7468701849718…
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Clara Hawking This really resonates. In an always on age of AI, there’s a pressu…
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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."
}
```