Raw LLM Responses

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Comment
causing harm is ambiguous. you can't destroy mass for example, so for an AI there may not be a teachable concept of harm, but only a training to prevent known types of harm. in other words, all types of harm that occur to us. implying that the concept of harm will always have blind spots, which the AIs will stumble upon inevitably. all we can do is involve as many minds as possible in finding types of harm, to close as many blind spots as possible before the unthinkable happens.
youtube AI Harm Incident 2025-09-11T22:0…
Coding Result
DimensionValue
Responsibilitydistributed
Reasoningmixed
Policyindustry_self
Emotionresignation
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[ {"id":"ytc_UgyCkt-SCd6qNFOhHTF4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"fear"}, {"id":"ytc_UgwKgN92eaYQAFRG2yx4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"}, {"id":"ytc_UgwGwP7xgpdyYv75ZeR4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"outrage"}, {"id":"ytc_Ugz7u3QuyyAYIip7Smt4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"industry_self","emotion":"resignation"}, {"id":"ytc_UgxwCJHwbjlWazIugOh4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"ytc_UgywhUGYyXhX-S9XNHZ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"}, {"id":"ytc_UgyCn4T4Yt47jf9kcix4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"ban","emotion":"outrage"}, {"id":"ytc_UgwV7R6qmwxADx_wJz14AaABAg","responsibility":"developer","reasoning":"mixed","policy":"liability","emotion":"outrage"}, {"id":"ytc_Ugwj87WOXUcktqsnh9h4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"mixed"}, {"id":"ytc_UgwdjSrDzmmWq3OJGb54AaABAg","responsibility":"distributed","reasoning":"unclear","policy":"unclear","emotion":"mixed"} ]