Raw LLM Responses
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The end game where the winner of the AI race lives in solitude with robots.…
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And there lies one of the dangers we face - stupid people who are well educated …
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For context, GPT looking for a reason to compliment me called mercurial. But I …
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Funny how people actually believe that this is the level that robot technology r…
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Its a triple-edged sword...it will reduce entry level jobs that are critical to …
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AI is good, it’s not bad🙄, UBI is ready in case all jobs are taken by AI, AI is …
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Everyone worried about AI taking jobs. I cant wait for robots to start digging t…
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2016 Musk proclaimed to the world "Tesla can drive safer than a human being RIG…
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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
[
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{"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"}
]