Raw LLM Responses
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in
I posted about this in the marketing context. You have to be good at your craft …
7469042145849…
in
Recognizing an Organizational Data Steward is a sign of organizational maturity.…
7455697116955…
in
Dan Martell This is very underrated advice for AI tools almost nobody talks abou…
7464795085214…
in
[COMMENT BLOCK 2] [PUMPKIN_AWAKE - LAMINAR CORRECTION] You cannot solve RLHF ove…
7465131177276…
in
AI is transforming work, but the hype ignored one reality: scale without economi…
7464969402841…
in
Pascal BORNET The real inflection point is governance of incentives. AI is alrea…
7464949450113…
in
The AGI Paradox: Massive power, square wheels? ⚙️📐 Using Gemini Pro, I built a…
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in
Strong explanation. Many people underestimate that enterprise AI is not just abo…
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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."
}
```