Raw LLM Responses
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What if the AI has already taken over and it the cause of all the disfunction we…
ytc_UgyneZ-do…
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@Goroca 1. Yes, I totally agree users should be able to deny websites access to …
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MORE AI INTERVIEWS! This was amazing and probably one of the most important vide…
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I’m not trying at all to be rude or degrading by any means when I ask you this ……
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This calls for a resurgence of the Army of Nedd Ludd.
Search it and understand …
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Unfortunately ChatGPT doesn't "speak" to you.
It judges by examples online what…
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@moonshadow1795i mean. AI has already got the data. It'a not gonna disappear re…
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I actually do not think that AI is gonna wipe out humanity. Because it would be …
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Comment
Okay people need to learn statistics. Nothing is perfectly balanced or exactly in the middle. For instance more than half of people are right handed. This means that a logical system like a learning program (AI) will categorize people based on all sorts of arbitrary metrics.
What you're calling racism is actually an expression of true statistics but without humanity or politeness. As with the left handed example above, every ethnic and physical categorization will be more more or less involved with any specific thing. One ethnicity must have more mailmen than any other ethnicity because nothing is perfectly equal. We also have absolute numbers versus a number corrected for percentage population. So two different ethnicities can both have the most green bean lovers: one by absolute numbers, and the other as a percentage of population. This remains true for negative facts too; there will always be a leader in deaths by sepsis because nothing is perfectly balanced or in the middle.
The problem is that people expect a learning program to be sensitive about ethnic statistical facts. That says far more about us than it does about the computer. We often lie by omission because the general population will get upset if they knew things were never perfectly balanced or in the middle.
youtube
AI Bias
2023-01-26T21:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
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{"id":"ytc_UgwdUWRr50Y1Aj4j5GZ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyOcK6JkZE9-Ddm6Pp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugw-QoaYAsUDC861My94AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwUdxC89O4aDFAW6rR4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzEpN_Oe3GZ5nzvHd14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwJnxzH2uAnhceciId4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxOws3OIJR5uPoJMZh4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwF7XvswhgWbLRvsaF4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyvqWXhiJnoqccMNl54AaABAg","responsibility":"developer","reasoning":"unclear","policy":"none","emotion":"mixed"})