Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
"Oh you're using a digital program to draw so it's no different than AI!"
I... I…
ytc_Ugx7XKgbi…
G
The horse and buggy example is glorious. This is why I instruct my students on h…
ytc_UgxlqzU1F…
G
I haven't watched this in a while, but it relates to the topic. It's a discussio…
ytc_UgxyazYfc…
G
OH THESE POLICIES MAY END WHAT IS JUST THE BEGINNING! WITH AI, SURVEILLANCE THRO…
ytc_Ugz6Pcr5x…
G
While I understand the sentiment that I would prefer generative AI be launched i…
ytc_Ugx0wzZh7…
G
Ye cause women are doing heavy makeup these days making themselves look like rob…
ytr_UgwZMGjBT…
G
Art is going to go back to what it was, real talent will shine and that's what w…
ytc_UgwYZVsNt…
G
AI is already menticidingtargeted individuals, and mind controlling people to be…
ytc_UgyJNadSy…
Comment
This example uses human error to portray a problem with a self driving car: driving to close to the vehicle in front of it.
A self driving car would be programmed to keep enough distance and drive at a safe speed so that it has enough time to brake when an object suddenly stops.
If you replace this example with a person suddenly jumping in front of the car then it's still the same, because it will react much faster than a person in that position and it can look at multiple points at once.
Safety on the road would increase even more with the evolution of the self driving car. I would imagine that at one point it would be possible for the car to track moving objects in it's surroundings and estimate where that object is going and/or all self driving vehicle will be linked together to warn other vehicles of objects moving in their paths.
youtube
AI Harm Incident
2015-12-18T11:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_Ugi_GtOLGK5NvngCoAEC","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UginTf9w9kAfAngCoAEC","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UggPMgtotN-UAHgCoAEC","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgggUF_2Qb4HPHgCoAEC","responsibility":"distributed","reasoning":"consequentialist","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UggYd0QeaEjoT3gCoAEC","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgjFNMbehN7Mp3gCoAEC","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgiV6VqZ6rqWDngCoAEC","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgisBoqYfIeKMHgCoAEC","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgiL9TsF2gC4CngCoAEC","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgiMNk6vckjqtHgCoAEC","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]