Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
The EdTech point 👏🏾 If the systems being deployed in learning environments carry the values and blind spots of their creators, then the question is not just what AI teaches but who is equipped to critically mediate it. That falls on educators and managers. And most of them have not been prepared for that responsibility. We talk a lot about AI governance at the policy and platform level. We talk very little about governance at the human layer, the people who sit between the algorithm and the learner, or between the algorithm and the employee. Quiet credibility is exactly right. And it has to be built at every level of an organization, not just at the top.
LinkedIn AI Policy & Regulation Senior L&D Leader | Leadership & Management Dev… 2026-05-26T06:2…
Coding Result
DimensionValue
Primary valueaccountability
Secondary valuenone
Alignment targetindividual_users
Stancedemanding
Emotionapproval
Value justificationThe speaker emphasizes the need for educators and managers to be equipped to critically mediate AI, implying a desire for accountability in AI governance at the human layer.
Target justificationThe target of the speaker's concern is individual users, specifically learners and employees, who are impacted by AI systems in learning environments and workplaces.
Coded at2026-06-11T08:12:23Z
Raw LLM Response
```json { "value_primary": "accountability", "value_secondary": "none", "target": "individual_users", "stance": "demanding", "emotion": "approval", "value_justification": "The speaker emphasizes the need for educators and managers to be equipped to critically mediate AI, implying a desire for accountability in AI governance at the human layer.", "target_justification": "The target of the speaker's concern is individual users, specifically learners and employees, who are impacted by AI systems in learning environments and workplaces." } ```