Raw LLM Responses
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in
#NewYorkState Capitol: #EnergyEfficient #HumanCentered #AI-#Quantum #Innovations…
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in
Interesting development. I think we really need to take this movement seriously.…
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Great observation and analysis! That is why it's so important to ground any AI M…
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The “Ministries shift from operators to supervisors” line is the real story here…
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That headline is doing work the study never asked for. The MIT “Your Brain on Ch…
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I’m amazed by everything you’ve done, including your well deserved Nobel Prize, …
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Avnish Gulati Definitely need to feed that AI body good data in order to reach o…
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The interesting part is that this moves AI from being a support layer into becom…
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Comment
Rebecca Human AI Trust Leader Yes and no 🙂 I think that, as you stated, AI can "re-solve" known (from training data) problems, in different variations. But it can also generate solutions that match for new (in the sense of "not been in training data") problems. Most likely this is not how a human would have tackled a new problem, but the result can still be of value, ideally checked, confirmed and utilized by a knowledgeable human. Furthermore, I disagree with "machines do not navigate the real world". They do, collecting and analyzing enormous amount of data for military and for civilian purposes.
LinkedIn
General AI Discourse
Projektmanager
2026-05-23T08:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | human_autonomy |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | optimistic |
| Emotion | approval |
| Value justification | The speaker emphasizes the importance of human oversight and confirmation of AI-generated solutions, indicating a desire to maintain human control and autonomy in decision-making processes. |
| Target justification | The speaker's focus on the interaction between humans and AI, particularly in the context of problem-solving and decision-making, suggests that the target of alignment is individual users who work with AI systems. |
| Coded at | 2026-06-11T08:01:00Z |
Raw LLM Response
```
{
"value_primary": "human_autonomy",
"value_secondary": "none",
"target": "individual_users",
"stance": "optimistic",
"emotion": "approval",
"value_justification": "The speaker emphasizes the importance of human oversight and confirmation of AI-generated solutions, indicating a desire to maintain human control and autonomy in decision-making processes.",
"target_justification": "The speaker's focus on the interaction between humans and AI, particularly in the context of problem-solving and decision-making, suggests that the target of alignment is individual users who work with AI systems."
}
```