Raw LLM Responses
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G
This is the ultimate truth that the next generation WILL face..
100percent..
We …
ytc_UgyMShWz3…
G
This just shows, we should stop using and storing our data on the cloud. Use les…
ytc_UgwgtEviT…
G
I think it does look ai because in most ai images of people, they look super shi…
ytc_UgwrGDdU6…
G
yeah, you've said some crazy stuff in the past two minutes. Where are these test…
ytc_UgwV7R6qm…
G
His tendency to call people “zombies” or “soulless” simply for being mean or cri…
ytc_UgwgZuyqE…
G
Thank God i grew up and had a wonderful childhood without AI, smartphone and soc…
ytc_UgxwZhtLr…
G
Hahahahahah imma bookmark this one and come back in 5 years.
Here’s my predict…
ytc_Ugziksb13…
G
Si il y en a qui ont cru que c'était pour notre bien ... MDR !!…
ytc_Ugy3DYzAp…
Comment
While AI has the potential to revolutionize healthcare, there are also potential negative consequences to its use. One major concern with AI is that it may perpetuate or even amplify existing biases and discrimination in healthcare. This is because AI is only as unbiased as the data it is trained on and the way it is programmed. Since humans who create these programs have their own implicit biases, the AI will replicate it and maybe even amplify it with its efficiency. Another concern is that healthcare professionals and patients often are not educated enough to understand complex algorithms used by the AI and how it arrives at its decisions. This lack of transparency can decrease trust in the technology. Furthermore, large amounts of data is required in order to develop a reliable AI systems, much of which is sensitive medical information. This raises concerns about privacy and security risks, particularly if the breaches or unauthorized access to the data is obtained. While AI has enormous potential to improve healthcare, it is important to be aware of the potential negative consequences of its use.
youtube
AI Harm Incident
2023-04-24T03:0…
♥ 32
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[{"id":"ytc_UgzLZDICQoncahhls0F4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz_1JJeK8TzMzkjy6t4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgwEGDKxxu1yWrFQVnd4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgyLP9muwFMbN2nQu2t4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyXhvWiHUq0OTWc-0N4AaABAg","responsibility":"clinicians","reasoning":"consequentialist","policy":"industry_self","emotion":"resignation"},
{"id":"ytc_UgzSPzDcK6PFdJ3Oojl4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugy_HBzp_P0JVbolLNV4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgwMhwgSlKwTbgBuVrZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgzQJf9HJVirqehJ_IF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyYEZm5B8_kno6PlCB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"})