Raw LLM Responses
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Mark 21:00 is a prime example of my algorithm feeding me ai generated videos of …
ytc_UgyEbNo4Q…
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Trump is showing right now that he has no concern for infuriating wallstreet or …
ytr_Ugzjm3Kgc…
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Sci show is paid by control AI which is controlled opposition for the AI indust…
ytc_UgxjCGLen…
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it already knows there are twins in their family and due to the profile created …
ytr_Ugyedcly7…
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I am so sorry for your loss as a parent. I cannot even imagine what you’re going…
ytc_UgyiZvn5u…
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True...i only got criticism from my mum after my daughter died. No compassion..n…
ytc_Ugwg2dTXz…
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Even with talent, money and resources, Ai larpers wouldn’t become artist. Becaus…
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Sometimes I make prompts with AI, but I don't share them. I take inspiration fro…
ytc_Ugzv49XA7…
Comment
That is how bias works in machine learning. If the machine is fed skewed data, the output will also be skewed. The issue is when it fails to identify objects because of the skew; and discarding information when it doesn't match the majority of its current database.
If your problem is with the example: it works the other way as well. If you fed the machine historical images of 'computer programmers', for example, it would more easily identify female programmers and discard images of male programmers, simply because the majority of the field was female at the time. It doesn't mean that there were no male programmers, but the machine would still fail to identify them. It's just information bias.
youtube
AI Bias
2019-10-23T19:0…
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_UgxdRRx_b46ZbPxt7SB4AaABAg.AVpqXaCZuYEAVvyvrQyjYB","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytr_UgxdRRx_b46ZbPxt7SB4AaABAg.AVpqXaCZuYEAVw9ZXoXgfy","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgxdRRx_b46ZbPxt7SB4AaABAg.AVpqXaCZuYEAVwlyVT8i2l","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytr_UgyGe0umGerQfKERqFR4AaABAg.90oSXHlvRyg91xWBITtIE1","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytr_UgyIyrson_nDEMSVuLd4AaABAg.90jXziBSWvD93wqcohMCTq","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgwMF7HedZmU4OEkHHl4AaABAg.90fnx1hdU4390n4Mfdg_Ip","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytr_UgxxFgBZsd2sB29WHa94AaABAg.90_AnnFvtzV90dpt_VbUvN","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxJQ_gzZuZoQq-Xdux4AaABAg.90YGM16aw7T90gRToKTLyP","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugy_N8jNWSerzqGSRzZ4AaABAg.90RUnuLUzMd90RhtNtUXNW","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"mixed"},
{"id":"ytr_UgzVP2orbjK1SvgNotl4AaABAg.8skB_No71Br8w_13wkaG62","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}
]