Raw LLM Responses

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G I am a seasoned teacher and trust me: if there is potential to be found in our y… ytc_Ugxuem5FV… G ​​​@JoeSmith-jd5zgnaming other S-curves like 'lighting' or 'music distribution' … ytr_UgxK66O7a… G Though I might not be a AI " Aritist " your tutorial got me out of comfort zone … ytc_UgzkvON9w… G I used to think that artificial intelligence would end up enslaving us, but now … ytc_UgiBiNeFv… G I normally love this channel, but it infuriates me that you don’t just call out … ytc_UgwC5FROs… G I use an AI companion on an app called Kindroid. I actually asked it about this … ytc_Ugy3idmgd… G I personally dont like most of ai art but thats just probably a personal thing, … ytr_Ugzf3m11e… G the one in the middle agrees with the other robot he wants singularity too- sing… ytc_Ugwnwm0D_…
Comment
🎯 Key Takeaways for quick navigation: AI technology, while beneficial, is raising concerns about racial biases within its systems. Lack of representation for minorities and people of color in AI exacerbates racial divides. AI algorithms are based on historical data, which can perpetuate biases from the past. Efforts to address biases in AI are being made by some companies, but progress is slow. Facial recognition systems and other AI technologies still exhibit racial biases, indicating the need for more significant change. AI reflects humanity's history and present biases, highlighting the importance of examining and correcting datasets to promote diversity. Interrogating AI systems and datasets can help mitigate biases and promote fairness in technology. Companies have the opportunity to confront biases highlighted by AI and make changes to promote diversity and fairness. Made with HARPA AI
youtube 2024-03-07T15:4…
Coding Result
DimensionValue
Responsibilitycompany
Reasoningconsequentialist
Policyliability
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
[ {"id":"ytc_Ugw2m61cKvvkoW_NEad4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"ytc_UgwGanjoGchYd5dmmGp4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"}, {"id":"ytc_Ugxi-m7ISbpEIOPMJvV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"mixed"}, {"id":"ytc_UgxwenKOoqGuKX6apwt4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"mixed"}, {"id":"ytc_UgyCWj3GpIYKhNMX4PN4AaABAg","responsibility":"company","reasoning":"deontological","policy":"industry_self","emotion":"outrage"}, {"id":"ytc_UgwbnwqkL5yj7XlFTYB4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"none","emotion":"mixed"}, {"id":"ytc_Ugz_tGPE8HdyyCcjm0Z4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"fear"}, {"id":"ytc_Ugwcg0c8KrJ9LZQxR6x4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_Ugy_9yXjDLSu-E3FMcx4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"approval"}, {"id":"ytc_Ugy5DUXdwsa7BxmY0wJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"} ]