Raw LLM Responses
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in
Finally, the staged approach here highlights an important principle: AI adoption…
7464632516239…
in
🚨 Silent UI Fragmentation: The legacy, single-tap TTS "Speaker" integration was …
7466118625612…
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Amanda Kasmira Brown, I am glad this encyclical helps endorse all those who work…
7466137998410…
in
Strong perspective. A lot of AI discussions still focus primarily on capability,…
7464960982323…
in
Alvin Foo do you ever work at the Silicon layer? When you write your software? S…
7464548717661…
in
This really resonates with something I’ve been thinking about for a long time: A…
7465821635913…
in
Sanders asks the right question — and immediately retreats from it. "Who decides…
7465664544707…
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AI doesn't take away your job; it takes away the "things that aren't worth doing…
7466530366988…
Comment
Pope Leo XIV's encyclical "Magnifica Humanitas" just gave a moral megaphone to the work I do every day. 🕊️ I’ve spent half a decade, studying how algorithms make decisions. As founder of DecodedAlgorithms, I reverse-engineer the algorithms that quietly decide who gets a loan, a job, a home. When a résumé screener bins your application because of a gap or a keyword, and not even HR can explain why, that’s not efficiency, that’s automated exclusion. DecodedAlgorithms steps in, accesses the logic of the algorithms companies hide behind, and breaks the silence. The solution isn’t to wait for regulation or papal pressure to trickle down. It’s to decode the algorithms now. DecodedAlgorithms helps translate the technical jargon of algorithms into a clear, actionable plan so you can improve your application faster and succeed sooner. Transparency you can use, TODAY not just a headline. Learn more at : for more updates at : hashtag#PopeLeoXIV hashtag#MagnificaHumanitas hashtag#AITransparency hashtag#AIEthics hashtag#AlgorithmAudit hashtag#DecodedAlgorithms
LinkedIn
AI Safety & Risk
CEO @ DecodedAlgorithms.co.uk | See What’s Real…
2026-05-29T14:0…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | transparency |
| Secondary value | fairness |
| Alignment target | individual_users |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the importance of understanding how algorithms make decisions and promotes their work in reverse-engineering algorithms to bring transparency to the decision-making process. |
| Target justification | The speaker is focused on helping individual users, such as job applicants, by providing them with a clear and actionable plan to improve their applications and succeed sooner. |
| Coded at | 2026-06-11T08:29:53Z |
Raw LLM Response
```
{
"value_primary": "transparency",
"value_secondary": "fairness",
"target": "individual_users",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the importance of understanding how algorithms make decisions and promotes their work in reverse-engineering algorithms to bring transparency to the decision-making process.",
"target_justification": "The speaker is focused on helping individual users, such as job applicants, by providing them with a clear and actionable plan to improve their applications and succeed sooner."
}
```