Raw LLM Responses
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G
AI is cheaper than career vets ($3million per servicemember). Robots don't assau…
ytc_UgyMsF_gj…
G
That's actually crazy that such a thing needs to be explained. There's a reason …
ytr_UgzHBdYYH…
G
That‘s just what the bible is talking about in the last book named REVELATION.
T…
ytc_Ugz1fyKr1…
G
Me intending to become a visual novelist: MUAHAHAHA I AM IMMUNE!!!
Seriously th…
ytc_UgzEV8CuW…
G
A robot which is clever enough to hatch and carry out a plan to destroy humans f…
ytc_UgxYvPBHi…
G
2:25 you should try animations using AI. Is faster and you'll be able to stay up…
ytc_UgzTZa4XA…
G
Sydney is actually a real person hired by MS to pretend to be AI but there's tho…
ytc_Ugxrd7Xsj…
G
(I am not an artist, tell me if anything I say is dumb)
The difference between …
ytc_Ugy1EOx8E…
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"}
]