Raw LLM Responses
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in
Matthew Kilkenny...point3 stopped me immediately. "Human limitations are not def…
7465774034060…
in
If task is vague, they complete the wrong thing fast. The hands need guardrails.…
7464694646338…
in
Gemini Omni, Gemini for Science, CodeMender, and SynthID all point to the same d…
7465749046205…
in
Nothing being done in relation to AI is taking the long term view into account. …
7469537841988…
in
SAURABH SINGH Interesting perspective Crazy how fast companies adopted AI withou…
7465302497302…
in
This could become a very important turning point for edge AI. As models become s…
7463030462504…
in
Stop asking Ai to make decisions for you. It's a fine tool, not a therapist. Not…
7463583203912…
in
Interesting perspective SAURABH SINGH. This is a good reminder that technology a…
7465451254471…
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."
}
```