Raw LLM Responses
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G
Ai will see like i do that humans have become parasitic and it will either thin …
ytc_Ugx-rKakr…
G
you're not a real artist if you use ai
you're not a real artist if you use photo…
ytc_UgytpYwZT…
G
When will people stop taking advice from AI? Its error rates are estimated to be…
ytc_UgwOQnE2i…
G
4 workers on ~£30k salaries actually cost an employer ~£47k each (after pension,…
ytc_UgyDyr12z…
G
What if the real threat isn't AI manipulating us, but AI manipulating other AI s…
ytc_UgyCdRSke…
G
@MGRisMid I don’t care if the characters are muted, I care about the people that…
ytr_Ugz6QgEbf…
G
The same way we always did ... Bro we have 16k nukys😂 fafo.. ai makes virus, we …
ytc_UgzBvV0cN…
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What happened to the car's laser and radar detection? even if the camera's did n…
ytc_UgzbjPvH_…
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"})