Raw LLM Responses
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in
That headline is doing work the study never asked for. The MIT “Your Brain on Ch…
7464304238295…
in
Thought-provoking perspective on the future of work. The real challenge isn’t ju…
7468020806074…
in
Abacus? Really? I mean seriously? I have an Abacus and 1minAI account and this i…
7466877880925…
in
Keith King, I have encountered this critical issue with AI Labs and was led to p…
7464885314868…
in
I am convinced the prices will only increase as the constraints surrounding AI s…
7465431548301…
in
The next phase of AI strategy and implementation will be discerning where to use…
7470166502525…
in
Clara Hawking — Clara — your framing of governance as "a process of shared disce…
7464995655455…
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This integrated perspective on enterprise AI architecture provides excellent gui…
7464651647324…
Comment
Recognizing an Organizational Data Steward is a sign of organizational maturity. For this to work, a specific mindset must exist: "Stop fixing bad data; start tuning the process!" The shift from liability to strategic asset only happens when we stop treating data stewardship as a solo role and start seeing it as a collective responsibility. The twist? Everyone who manages a process is a Contributing Data Steward, led by Organizational Data Stewards. Now, for AI to be credible, the accountability must lie with those who feed the model.
LinkedIn
AI Ethics & Trust
Business Intelligence | Data Modeling | Object …
2026-04-30T19:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | organisations |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the need for accountability in AI systems, specifically that it must lie with those who feed the model. |
| Target justification | The comment discusses organizational maturity and the role of Organizational Data Stewards, indicating that the target of alignment is organisations. |
| Coded at | 2026-06-11T07:54:55Z |
Raw LLM Response
```json
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "organisations",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the need for accountability in AI systems, specifically that it must lie with those who feed the model.",
"target_justification": "The comment discusses organizational maturity and the role of Organizational Data Stewards, indicating that the target of alignment is organisations."
}
```