Raw LLM Responses
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in
The interesting question isn't whether the Pope is right or wrong. Most people a…
7466106208622…
in
The distinction between AI that supports learning and AI that removes the fricti…
7464584841376…
in
Chat gdp Ai lies and directs you away from the truth or facts while gemeni tells…
7466310554148…
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The real question is not what humans will do when AI does the work. It is what h…
7464784132984…
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As the Pink Floyd song goes: "Welcome... to... the machine." Certainly we will n…
7464677238194…
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AI in research should feel like an AGI as removing the human from the loop might…
7466859369691…
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Library Learns Workers now are doing this. Memorizing code syntax will not be a …
7468780222067…
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Greg Manto Fair point, the pipeline connects. If the big players only build ente…
7465313827052…
Comment
The biggest AI risk for many organizations may not be the technology itself. It may be adopting AI faster than the organization can operationally, ethically, and culturally absorb it. Every AI workflow sits on top of real infrastructure: energy, data centers, compute, cost, governance, privacy, security, and human decision-making. Yet many companies are still treating AI like a productivity plug-in. That gap matters. When AI starts changing how work is designed, how decisions are made, how employees learn, and how leaders measure performance, it becomes a People Operations issue as much as a technology issue. This is why HR leaders need to understand AI beyond adoption campaigns. We need to understand systems, workflows, governance, workforce capability, and the human consequences of scale. AI may run on infrastructure, but responsible adoption runs on leadership.
LinkedIn
General AI Discourse
Strategic People Partner for High-Growth Teams …
2026-05-31T11:2…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | organisations |
| Stance | demanding |
| Emotion | indifference |
| Value justification | The speaker emphasizes the need for organisations to operationally, ethically, and culturally absorb AI, implying a need for accountability in AI adoption and implementation. |
| Target justification | The comment specifically addresses the need for organisations, particularly HR leaders, to understand and adapt to AI, indicating that the target of alignment is organisations. |
| Coded at | 2026-06-11T08:33:20Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "organisations",
"stance": "demanding",
"emotion": "indifference",
"value_justification": "The speaker emphasizes the need for organisations to operationally, ethically, and culturally absorb AI, implying a need for accountability in AI adoption and implementation.",
"target_justification": "The comment specifically addresses the need for organisations, particularly HR leaders, to understand and adapt to AI, indicating that the target of alignment is organisations."
}
```