Raw LLM Responses
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G
I’m not smart about Advanced Technology but I’m one of those as much interested …
ytc_UgyVJ_uWQ…
G
No one is going to slow things down for them to catch up. They'll probably get r…
rdc_l5lioeh
G
If AI is the future of writing for the entertainment industry, don't anticipate …
ytc_UgxBWbhM6…
G
i type questions into google about video games i play and the ai gets the answer…
ytc_UgwelS60m…
G
He can clearly see there's no driver. He's trying to redirect the automated syst…
ytc_Ugyb1qmPq…
G
Solution, everyone just become professional poker players, AI can’t replace us, …
ytc_Ugz1a-lmM…
G
As a former teacher who has gotten hit ,punched, kicked, desk thrown at her... I…
ytc_UgzCTQPG8…
G
I have so much pride in these female journalists I've been watching lately. The…
ytc_UgzSZ30Ab…
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"}
]