Raw LLM Responses
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in
Anthropic, who uses AI to train CAI ( methodology) by using AI to score the rein…
7468720376626…
in
This shift toward autonomous AI government operations is a monumental leap that …
7464616108981…
in
Mike Pappas How do you know that they "want individual AI-powered solutions to s…
7424459841399…
in
It’s striking how much the concerns of the Church, AI designers, builders, and u…
7470334293974…
in
Incredible progress, especially on agentic systems. Building production GenAI pl…
7469818112024…
in
The problem with that is that humans rarely serve other humans; they generally s…
7465979478859…
in
A phenomenal perspective on what's happening in the UAE right now. Dubai and Ab…
7464676089546…
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Pascal BORNET Your emphasis on 'who decides and benefits' is a powerful point. T…
7464912080656…
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."
}
```