Raw LLM Responses
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G
Well without AI the economy will eventually recover. With AI, you're just count…
ytr_UgyYlJxCG…
G
This is a test to "This is a test, but don't worry, you're probably going to fai…
ytc_Ugz1p6TPH…
G
Imagine all AI robots as surgeons and anestheist in operation theater get corrup…
ytc_Ugx6RuLU4…
G
Elon musk cannot see the future. He does not know more than any of us. We don’t …
ytc_UgyqSrHzA…
G
If you "poison" a train drawing, it would be the best. Ai doesn't know how to do…
ytc_Ugx3aMOKh…
G
These are not just US issues. Job loss to AI and robots is a global issue. T…
ytc_UgxZuvUnX…
G
guys.... this is AI slop... The voice the imagery, the scenery... its all AI why…
ytc_Ugzw3ID1V…
G
Hell yeah i aint in either the art community or the ai community but fuck up the…
ytc_UgzQeOZ4v…
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"}
]