Raw LLM Responses
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in
Safety of agentic systems starts with visibility. Most deployment failures don’t…
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The plug it in bit...I work with lots of clients who understandly aren’t comfort…
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in
This is a much-needed clarification. AI language is moving so quickly that acron…
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in
Two years ago I proposed to go luddite in year 1 and 2 of university (pen and pa…
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in
The brain does crave stimulation, but we keep confusing stimulation with screen …
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in
Great job! Now I'm waiting for somebody to build an AI system that consumes Link…
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in
Marek Porycki, The archaeology framing is spot on. You keep the result and lose …
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Summarising historical information based on meeting material and minutes and the…
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Comment
The control problem is the part that keeps getting underweighted in these conversations. The capability curve is well documented. The governance curve is not keeping pace and that gap is where the real risk lives. One of the core arguments I make in The Executive's AI Playbook is that business leaders cannot afford to outsource their understanding of what AI systems are actually doing inside their organizations. The recursive improvement scenario makes that argument more urgent, not less. You cannot govern what you do not understand and most executives still do not understand what they have already deployed.
LinkedIn
AI Safety & Risk
Founder & CRO @ Spartera | Founder @ Orion AI |…
2026-06-05T16:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | transparency |
| Alignment target | organisations |
| Stance | critical |
| Emotion | fear |
| Value justification | The speaker emphasizes the need for business leaders to understand what AI systems are doing inside their organizations, implying a desire for accountability in AI governance. |
| Target justification | The speaker is addressing business leaders and organisations, highlighting the importance of internal understanding and governance of AI systems. |
| Coded at | 2026-06-11T08:38:45Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "transparency",
"target": "organisations",
"stance": "critical",
"emotion": "fear",
"value_justification": "The speaker emphasizes the need for business leaders to understand what AI systems are doing inside their organizations, implying a desire for accountability in AI governance.",
"target_justification": "The speaker is addressing business leaders and organisations, highlighting the importance of internal understanding and governance of AI systems."
}
```