Raw LLM Responses
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G
YES! Absolutely. I just did a search, 'Ai' and this was the second video in the …
ytc_Ugys-eq6o…
G
I personally love ai it’s gonna happen and helps me also it lets people create t…
ytc_UgxwiDwQX…
G
Corporations are pushing ai, LLMs, AGI, ASI, agentic ai, & agents to make humans…
ytc_UgwfIkvny…
G
Mark Rober showed how unsafe Teslas are compared to other self driving cars. The…
ytc_UgxBTyKjp…
G
clueless talking to clueless. LLMs are mimicry, imprints, which leads to curious…
ytc_Ugw8fpvW_…
G
if hes an artist for making ai slop, im a mechanic for starting up a car.…
ytc_UgwEByiMP…
G
I wish people knew all this AI knowledge is not new .. they are just reading old…
ytc_Ugyz6Zrro…
G
Automated customer service is a human nightmare. You will not get your problem r…
ytc_UgwA8ctZO…
Comment
The car forensics specialist Dipl.-Ing. Thomas Kaefer, M.Sc. has requested the original video of the Uber-Volvo accident in Tempe, Arizona (USA) dated March 19th 2018 from the local police. It shows the accident of the Uber-Volvo where a pedestrian was killed. Thomas Kaefer has evaluated the video and additional sources as part of his research work Car-Forensics. He comes here in part to completely different statements than the police reports and the media coverage. In fact, he was able to prove that the pedestrian had not suddenly stepped out of a shadow and that the accident was anything but inevitable for man or machine. The situation at the scene of the accident was not nearly as dark and unclear as the strikingly dark video is supposed to make you believe. The video has been at least once lossy copied and rendered negligent or even deliberately darker. The vehicle has moved within the allowed speed limit of 45 mph and thus not - as reported incorrectly - committed a speed violation. However, it was at the time of the impact 45 mph and not as claimed 40 mph fast and has accelerated independently immediately after the accident. The human driver on board whose job was to monitor the fully automated vehicle did not look at the road at least six seconds before the impact and was apparently distracted. She could have easily avoided the accident by early intervention (braking and / or avoiding). Apparently, however, the sensor systems of the vehicle have failed. The pedestrian must have been identified as an obstacle on collision course at least 4.5 seconds and 80 meters before the accident (stopping distance at this speed max. 54 m).
https://youtu.be/7JBdEGjkmDw
youtube
AI Harm Incident
2018-04-09T12:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgwT6CzwEalsc0GRvk94AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx81CE_mpNZMIFasoB4AaABAg","responsibility":"distributed","reasoning":"virtue","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugw37tso1jWIqITp3op4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugwn08bQGUe5XQClK7N4AaABAg","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugwi7VOngjBC1BEMqD54AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgyzUGCjuZwGNqNx4FJ4AaABAg","responsibility":"user","reasoning":"virtue","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyOyYIaRH_XV46nRiZ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwLTVoZzUN7QFqSVMp4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugw4p04_FSUAO5gGf-14AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgzKcm7DeUQgw_CM4Mt4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"outrage"}
]