Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
HsuanHua Chang 張絢華, MBA, MSCS, PCC That is a fair point. It feels like they are …
7464018811197…
in
Hey Ruben Hassid - last week Claude hallucinated data when I asked it to analyze…
7464862742315…
in
You forgot to add Hyperlambda.dev The Best Solution for building AI Agents with …
7462284159554…
in
Nice read. We believe there needs to be more human wellness centered ethical dig…
7465550558607…
in
Robert Studholme in my cloister/starship class I do exactly that after forcing t…
7464988414698…
in
Strong explanation. Many people underestimate that enterprise AI is not just abo…
7464978030877…
in
While there's some general wisdom in Pope Leo's AI encyclical, it also completel…
7465619827131…
in
Spatial equity remains a critical concern in urban planning today. Algorithmic t…
7465158041915…
Comment
Maarten Masschelein agreed this hits where most teams fail. Data stewardship isn’t a title, it’s discipline. Clean pipelines mean nothing if people don’t trust the data. The real test: can someone use your data without asking you? If not, it’s not a tech gap, it’s an ownership gap. Get this right, and AI delivers. Get it wrong, and you just scale confusion.
LinkedIn
AI Ethics & Trust
Data Strategy & Governance Advisor | Helping En…
2026-04-29T12:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | transparency |
| Secondary value | accountability |
| Alignment target | organisations |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the importance of trustworthy data and clean pipelines, which implies a desire for transparency in data management. |
| Target justification | The comment is addressed to teams and organisations, implying that the speaker wants AI to be aligned with the value of transparency for the benefit of these entities. |
| Coded at | 2026-06-11T07:54:47Z |
Raw LLM Response
```
{
"value_primary": "transparency",
"value_secondary": "accountability",
"target": "organisations",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the importance of trustworthy data and clean pipelines, which implies a desire for transparency in data management.",
"target_justification": "The comment is addressed to teams and organisations, implying that the speaker wants AI to be aligned with the value of transparency for the benefit of these entities."
}
```