Raw LLM Responses
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G
My favorite part, is people that are actually intelligent enough to understandin…
ytc_UgySlo_3Y…
G
@41-Haiku But in order to rank people in terms of credibility on AI risks, the p…
ytr_UgzlL3VQZ…
G
The AI hype was created by AI-tools sellers and those who had/have no idea about…
ytc_UgxL6eg1n…
G
Art is better than ai, with ai u can only do so many things. But when u put ur m…
ytc_Ugwazx1Jc…
G
AI relies on electricity.. But then so do we.. 🤔.. Must be an answer somewhere b…
ytc_UgywepyQA…
G
They figured they could trickle down on us for 4 decades so why not drop a turd …
ytr_UgzJdIcAF…
G
Well , I'm sorry but if AI exists , then for sure that will be evil AIs. It's in…
ytr_UgxtY-kQP…
G
I do not understand these studies. Like, it is well known that these LLMs do not…
rdc_o7psi8q
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
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{"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"})