Raw LLM Responses
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G
Took 30 minutes — Analyze the evolution and impact of AI models (foundation, rea…
rdc_mbn3ct4
G
We are an artist. We've created art with our emotion. Happy, Sad, angry, etc. An…
ytc_UgxMTFpee…
G
When we do what we've always done, we'll get what we've always gotten. Money and…
ytc_UgzI4XAeJ…
G
i don't think ANYBODY take ai images seriously, that's why is only used in meme …
ytc_UgxXdypQ0…
G
Please don't say "thank you" becoz each time it calculates an answer...milluons …
ytc_UgyRH3ovu…
G
We don't make enough power for AI to take everyones job AI can't do even a 100th…
ytc_Ugw5KyKGw…
G
What godlike person, is going to program that AI. That becomes godlike.? How stu…
ytc_Ugx5PQwV1…
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@michaelwinkler7841 AI art is just a program that assambles preexisting images t…
ytr_UgwP4eJVV…
Comment
"The article on Tesla's Autopilot seems to cherry-pick negative incidents without providing a balanced view. An honest analysis would compare Tesla's accident statistics with those of human-driven vehicles, considering miles driven and conditions. It should also contrast Tesla's camera-based system with other manufacturers' use of LIDAR and radar, offering insights into different autonomous technologies.
For each incident, context is crucial - was the system misused, or did it fail as designed? The article should discuss Tesla's responses to safety concerns, like software updates, and how regulatory bodies view these statistics.
Moreover, acknowledging the limitations of all autonomous systems, not just Tesla's, would offer a fairer critique. The piece lacks mention of the industry's direction, upcoming tech, or regulatory changes that could impact safety and deployment.
Lastly, transparency in data sources and methodology is vital. Without this, the article feels like it's manipulating public opinion rather than educating it on the complex reality of autonomous vehicle safety."
youtube
AI Harm Incident
2025-01-19T17:0…
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgzZ-0lUFQrxdAMS9Bp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugy2UX64H1Mo4c0vgt54AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxApkn0WMMqvL5pWX14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx0swZ4kh5iRug0c9N4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw0DYmkwE5ehsW0JoN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyyJWaVDd20D2MIxxR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxGMAWY7O7_4eg2v_d4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugz3of2MQmWnLP309o14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugz7uO5xSoYu8S5aAnB4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugz9qbULdEK1QWoqTih4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"}
]