Raw LLM Responses
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G
Don’t forget the holier than thou idiots who think nice words can solve all the …
rdc_gtcp9i2
G
And imo this lack of regulation hurts the AI companies as well because it's tota…
ytr_UgzGZgbs9…
G
WHAT ABOUT THE link between AI and animals and farming? can you touch on this to…
ytc_UgzPvhisY…
G
No it is not it is accurate as it can possibly be but it makes sense why its cal…
ytc_UgwQiuamq…
G
Robotaxi stopped to try to get her to shut the hell up. She talks more than my g…
ytc_UgxaNu2kB…
G
Bestbuy is rolling out automated warehousing as well. The facilities may be able…
ytc_UgyjzVdo8…
G
Well he is being straightforward for an occultist. AI, properly curated, definit…
ytc_UgyELTk01…
G
I use ai to make pictures I can’t make, like for ai-art contests (on the website…
ytc_UgxZoS6SO…
Comment
Of course, it can. I'm a machine learning engineer and algorithms are biased all the time or more accurately, the algorithm is being influenced by a biased dataset. The algorithms just do what you code them to do but they can work improperly if you dont account for all the possible edge cases like different complexions, background noise, different features, etc . A convolutional neural network for example relies on its dataset to make inferences about different features. If you made an image recognition system that was designed to detect dogs but you trained that model on only pictures of pugs, if you showed the model a picture of a german shepherd, it might not label it as a dog. That is because the model is overfitted to a biased dataset.
youtube
2019-12-09T18:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
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{"id":"ytr_UgzOw2_UuId_9WOnrFR4AaABAg.8lVjE3jHhDW9WJAIMN8t2D","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
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{"id":"ytr_Ugi6DHYKx8YUMngCoAEC.8RehwotTueh8fh_z-XPGiY","responsibility":"distributed","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytr_UgjF2qj63lIzHHgCoAEC.8ROnyH1SVdNABw8Ocu5aE8","responsibility":"developer","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytr_UggQG6eUAXHh13gCoAEC.8QvIvb-6MgB92KhcvD9Bg_","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytr_UgiOUvYyrawYc3gCoAEC.8QjWWcdzynm92KgtJm6ohm","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"approval"}
]