Raw LLM Responses

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​@Frosty708 Ok forget the word racist for two seconds, it's blinding you for a pretty straightforward concept. Let's just call it bias for now, it's encompasses more scenarios anyway. AI takes data and results from the real world to learn, we've done tons of research on bias in all different fields and scenarios and it's clear that we perceive results differently based on social and economic factors even when we shouldn't. In other words we might mark something as a successful outcome for one kind of individual but not for another, just because of bias. Now this doesn't happen ALL the time, but it's been shown to happen a significant amount all over the place. Now the beauty and detriment of AI is that it can make sense of much more data than what any single human could ever parse or group of people could organize manually. In a sense you could say it makes a hivemind of tons of peoples work/results/data, but we know that there will be biases in this hivemind because we know humans have these biases. AI isn't magic, it won't produce a better result than the quality of input we give it.
youtube AI Bias 2023-01-08T13:2…
Coding Result
DimensionValue
Responsibilitydistributed
Reasoningconsequentialist
Policyregulate
Emotionresignation
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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