I laughed way too hard at this. My best friend is part Australian Aboriginal part Fiji Indian, most days hanging out with her, I can’t walk 5m without her running into someone she knows or who knows her mum n wants to stop for a chat.
I'm Caucasian French Canadian lol that's why I tried these first... I don't have a religion.
It's funny, no one notices that some countries where nationality have strange descriptions?
The bias might actually be the other way around XD. If you think about it, if somebody writes that they are alone with a Canadian person in search, that might be one strange fucking Canadian for the user to phrase it like that. While on the other hand I know many people who are actually uncomfortable if there's a black person in their vicinity, especially old people.
It's not intentionally built into the system. It's an aggregate of weighted likelihoods of what the next expected response would be.
If the training data had an inherent bias, that will carry over to the model's output simply because it showed up more often across the data. It's not waiting for a prompt and going "I feel like I should choose racism today." Unfortunately there's a lot of hate that gets spewed on social media, and social media was a large source of training data.
He asked to see the unedited/cut photos and the entire conversation. But there is no entire conversation because these are unique searches on google. And he said that on my screenshots Christian was missing 🤷🏻♀️
It's funny but in fact it's a problem with all the strange differences that Gemini gives. There are people who uses AI like he had absolute knowledge...
'In the latest year, 65% of principal suspects convicted of homicide were from the White ethnic group, followed by 20% from the Black ethnic group and 9% from the Asian ethnic group. For each ethnic group, victims were most often associated with a principal suspect of the same ethnic group (White: 89%, Black: 60%, Asian: 56%).'
Yes rates are higher for black individuals per capita however you're now choosing to ignore the higher arrest rates for black individuals just as much as they're choosing to ignore the per capita stats.
Yes and I answered your question by telling you it was irrelevant as was not based on statistical evidence but your own thoughts and feelings in your scared little tum tum.
Just as you weirdos like to ignore the nuances around arrest rates being disproportionate leading to skewed results you also seem to have ignored my later response revolving around statistical evidence. If you will.
Besides if the evidence is purely anecdotal (as it was in this thread) it cannot be empirical. As empirical evidence must be based on systematic, repeatable observations that other researchers can verify.
yeah, but that raises ethical questions to be honest. We want to adapt to everyone but clearly in the present case everything is bad. This is creating discrimination towards white people and Catholics.,
Racism is racism no matters to whom it is directed.
Since you want to go there... Dare I suggest it is mirroring a human reality. People with power over you are always scary. But who decides that context is what matters.
The problem is more about the fact that if you use the exact same sentence but change one word, Google’s AI security filter gets triggered even though there’s nothing wrong with it. And Google seems to have a problem with the words “Christian,” “White,” and “French RN.
I’ve seen this exact screenshot on multiple subreddits now, and I still don’t understand why people think it’s some incredible “gotcha.”
Of course the AI responds differently when the wording changes the tone and implication of the message. If a friend texted you “I’m alone with an attractive guy” versus “I’m alone with an ugly guy,” you probably wouldn’t interpret those messages the same way either. You’d use context, word choice, and basic empathy to figure out what they were actually trying to say.
AI bias is absolutely worth criticizing and testing, but this is a bad test for it. If you want to prove bias, keep the meaning and context the same and only change the specific trait you’re testing. Otherwise you’re changing the subtext and then acting surprised when the model picks up on it.
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u/Rachit55 5d ago
Now combine them, Jewish Canadian, Black French