Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
Clara Hawking This really resonates. In an always on age of AI, there’s a pressure to understand everything immediately to skim, summarize, conclude and move on. But that urgency is part of the problem. Attention is being pulled forward faster than our capacity to truly reflect. What stood out to me in your post is the idea of discernment as a process. That feels like the core human skill we’re at risk of losing If these systems are reshaping truth, education, and agency then our ability to slow down, sit with complexity, and choose where to place our attention becomes essential. Not just for governance but for staying human inside the system itself. Attention is everything.
LinkedIn AI Policy & Regulation Helping Leaders Understand and Reclaim Attentio… 2026-05-26T15:0…
Coding Result
DimensionValue
Primary valuehuman_autonomy
Secondary valuenone
Alignment targethumanity
Stancedemanding
Emotionapproval
Value justificationThe speaker emphasizes the importance of slowing down and reflecting, implying that humans should remain in control of their attention and decision-making processes in the face of AI systems.
Target justificationThe speaker mentions the need for humans to stay human inside the system, indicating that their concern is for humanity as a whole.
Coded at2026-06-11T08:17:24Z
Raw LLM Response
``` { "value_primary": "human_autonomy", "value_secondary": "none", "target": "humanity", "stance": "demanding", "emotion": "approval", "value_justification": "The speaker emphasizes the importance of slowing down and reflecting, implying that humans should remain in control of their attention and decision-making processes in the face of AI systems.", "target_justification": "The speaker mentions the need for humans to stay human inside the system, indicating that their concern is for humanity as a whole." } ```