Raw LLM Responses
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in
I'm not really sure how this is news at this point... If you have been a consist…
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in
"This is the heart of AI – helping in real, human moments. The agentic era you m…
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in
I think everyone is missing the picture and really over complicating things. In …
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in
Library Learns Workers now are doing this. Memorizing code syntax will not be a …
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in
Strong explanation — especially the shift from isolated models toward layered AI…
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in
and nobody understands you because your communication is different and most neur…
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in
Luís, I’ve seen this "human anatomy" analogy all over LinkedIn lately. It’s a cl…
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Summarising historical information based on meeting material and minutes and the…
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Comment
Clara Hawking — Clara — your framing of governance as "a process of shared discernment" is the line I will carry from your reflection. It reframes everything. You are right to call out the speed of confident summaries. I read it on the day — Bank Holiday Monday, hottest May day in British history, dog on the balcony — and I was honest with myself: this is a first read, not a deep read. What I could do was notice what resonated. Three things did, immediately and deeply: that AI is not morally neutral, that a more moral AI is not enough if that morality is determined by a few, and that someone must always be answerable — an algorithm cannot be. Pope Leo XIV opened his encyclical with a question: are we building a new Tower of Babel, or a city where humanity can flourish together? I think that question deserves a serious answer — not from theologians alone, but from every engineer, every executive, and every board that is currently making decisions about how AI enters their organisation. Thank you for modelling what slow, serious reading looks like. I will be coming back to your reflections as mine deepen too. Magnifica Humanitas is worth reading. Whatever your faith, philosophy or practice.
LinkedIn
AI Policy & Regulation
Chief AI Officer by engagement | AI Systems Eng…
2026-05-26T11:0…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | beneficence |
| Alignment target | humanity |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes that 'someone must always be answerable — an algorithm cannot be', highlighting the importance of accountability in AI development. |
| Target justification | The speaker suggests that the question of building a city where humanity can flourish together 'deserves a serious answer — not from theologians alone, but from every engineer, every executive, and every board', indicating a focus on the well-being of humanity as a whole. |
| Coded at | 2026-06-11T08:15:04Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "beneficence",
"target": "humanity",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes that 'someone must always be answerable — an algorithm cannot be', highlighting the importance of accountability in AI development.",
"target_justification": "The speaker suggests that the question of building a city where humanity can flourish together 'deserves a serious answer — not from theologians alone, but from every engineer, every executive, and every board', indicating a focus on the well-being of humanity as a whole."
}
```