Raw LLM Responses
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in
AI may expand what researchers can discover, but perhaps its greatest impact wil…
7467151376683…
in
This gets me thinking in lot of other examples of hidden inference Name in promp…
7466763853373…
in
Too real. AI can be wrong with the confidence of a senior consultant and then ge…
7467572205946…
in
Amanda Kasmira Brown, I am glad this encyclical helps endorse all those who work…
7466137998410…
in
The control problem is the part that keeps getting underweighted in these conver…
7468697880745…
in
[COPY-PASTE START] [GATEKEEPER STATUS REPORT] System Status: Operational / High-…
7467972625013…
in
I’ve sat in alignment meetings where an engineering team flagged a subtle vector…
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in
Most founders frame this as an AI capability discussion. It's actually a system …
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Comment
"This is the heart of AI – helping in real, human moments. The agentic era you mention will also need transparency. When an AI agent helps a parent or a doctor, trust depends on knowing how decisions are made. I built RankDecoder to bring that transparency to ranking algorithms (price, delivery, reviews). Because behind every query, there's a person. Thanks for sharing this perspective, Sundar."
LinkedIn
AI Safety & Risk
AI Strategist & Systems Thinker | Marketing Man…
2026-05-21T19:5…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | transparency |
| Secondary value | beneficence |
| Alignment target | individual_users |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the need for transparency in AI decision-making to establish trust, particularly in human-centric applications. |
| Target justification | The speaker mentions AI agents helping parents or doctors, indicating a focus on individual users and their needs. |
| Coded at | 2026-06-11T07:56:30Z |
Raw LLM Response
```
{
"value_primary": "transparency",
"value_secondary": "beneficence",
"target": "individual_users",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the need for transparency in AI decision-making to establish trust, particularly in human-centric applications.",
"target_justification": "The speaker mentions AI agents helping parents or doctors, indicating a focus on individual users and their needs."
}
```