Raw LLM Responses
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in
Ruben Hassid Artificial intelligence becomes substantially more impactful when i…
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Angharad Hurley Now that you point it out, I have a feeling that particular sent…
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If Anthropic engineers vibe code and their product is getting insane hype, you k…
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in
The deeper challenge may be that concepts such as dignity, truth, justice, and p…
7464999926620…
in
This gets me thinking in lot of other examples of hidden inference Name in promp…
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Each layer solves a different failure mode in AI systems, from static knowledge …
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in
Some needed context on both sides of the equation. We've recently added four sof…
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One big question that stopped me while learning AI/LLMs: Till now, I understood …
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Comment
The 'who benefits' framing exposes the governance gap. I see companies rushing to deploy agents without defining ownership of the output or liability for errors. Speed beats scrutiny every time. How are you seeing leadership teams actually structure accountability for autonomous AI decisions?
LinkedIn
AI Policy & Regulation
Creating Breakthroughs by Leaders, AI, Strategy…
2026-05-26T05:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | fairness |
| Alignment target | organisations |
| Stance | critical |
| Emotion | outrage |
| Value justification | The speaker emphasizes the need for accountability and liability for errors in AI decision-making, indicating a primary concern for accountability. |
| Target justification | The comment focuses on companies and leadership teams, suggesting that the target of the speaker's concern is organisations. |
| Coded at | 2026-06-11T08:11:53Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "fairness",
"target": "organisations",
"stance": "critical",
"emotion": "outrage",
"value_justification": "The speaker emphasizes the need for accountability and liability for errors in AI decision-making, indicating a primary concern for accountability.",
"target_justification": "The comment focuses on companies and leadership teams, suggesting that the target of the speaker's concern is organisations."
}
```