Raw LLM Responses
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G
Ai Artist sounds strange but as long ss he admit that he using Ai nothing wrong;…
ytc_UgwHgnnSQ…
G
It's easy enough to say that they have to directly and explicitly consent to fac…
rdc_gqjjms5
G
lol, no
no one is "panicking", except maybe for you that keep talking about AI a…
ytc_UgzVOTiRO…
G
@citizen3000 well I couldn't see it, asked chatGPT itself and that's what it to…
ytr_UgwxI6HdQ…
G
And then news will breakout one day that, that mid-level coding AI was a group o…
ytc_Ugz6Sl_W0…
G
As we rely more on AI, less human education will be necessary. Even if not the c…
ytc_UgxMxTS1H…
G
I find it odd that a Google employee is running the media circuit, and not be un…
ytc_UgynA56ks…
G
Services, food, products, and AI itself are made for humans. If humans lose thei…
ytc_UgxcTXRAv…
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"}
]