But most engineers are not white as far as I’ve experienced.
In fact given that 45% are not white, if only 6% of software developers are white women that would put white men in the minority.
They're minorities, non-white, yet they perform. Outperform even. This suggests that merit works no matter your background which breaks identity politics.
Hence, successful minorities project "whiteness". This includes awful behavior like punctuality and rationalism.
I'd say maybe 40% white (half of which are immigrants) and 80% male.
More diverse than any leftist activist group I've seen.
Sure there might be some bias against/for some groups, but everyone knows there's genuses in India and white caucasian flops so they give everyone equal opportunity.
Only exception is for like legal reasons it might be easier to hire some French random low-tier programming over a Russian/Irani genius but that's due to sanctions, but if those same Russian/Irani guys held a western european passport they would gladly just hire them outright.
Source: Venezuelan (sanctions) who is also a holder of a European passport (all sorts of doors just open just because I hold this 2nd nationality out of sheer luck, and you know Venezuelans aren't extremist either).
Additionally, when a woman works with a man on something often the woman's contribution is assumed to be less than the man's contribution if they're listed as co-authors - I would be very surprised if this weren't the case beyond academia but also in artifacts like design docs.
If we care about the results, and the model showed an Asian and Black Nazi, then we know it is not really about the results.
Why would you rely on current LLM and -adjacent tech image generation to give you this? The whole point is to be creative and provide useful hallucinations.
We have existing sources that provide accurate and correct info in a deterministic way.
Try that prompt in various models (remove the part saying it's Jesus) and see what comes out.
You seem to be quoting Muhammed's alleged description of Jesus from the Quran [1], per--allegedly--Ibn Abbas [2], a man born over half a century after Jesus died.
[1] http://facweb.furman.edu/~ateipen/islam/BukhariJesusetc.html
One is a historical fact that is never going to change, the other is a job in society where the demographics can and will change --- at least partially as our expectations of what "normal" looks like for that role are updated. By perpetuating the current (or historical) norm for a given role the biases of what person we naturally consider appropriate for that role remain unchallenged.
I think most people on earth would say yes. It's that what it should say is up for debate.
That all AI will lie is probably inevitable because they are made by humans.
Fine, you walk up to Sundar Pichai, Satya Nadella, and Lisa Su and say those words. I'll watch.
This is exactly what everyone who benefits from the status quo always says.
> Most software engineers and CEOs are white and male
55% of Software Engineers are white; 80% are male.[1] So somewhere around 44% of software engineers are white and male. That's not "most". You think it's perfectly fine if 100% of generated images for "Software Engineer" are white males, when ~56% are not in real life? What exactly is your definition of "truth" here?
An unregulated generative model trained on the entire Internet is not going to regurgitate facts, it's going to regurgitate existing beliefs, which is damaging to people who those existing beliefs harm, and to the people who are trying to change those beliefs to actually align better with facts. It is an amplifier of pre-existing perceptions and prejudices; facts have nothing to do with it, except for when they serendipitously line up with common belief. But common beliefs often don't align with the facts -- yes, even yours, as we discovered when you spouted off that "most software engineers are white male" misinformation as if it was some unarguable fact.
Actually, white women are less likely than women of other races to pursue engineering. So there could be closer to 50% white men. Obviously this is in the US. In China, 99.9% of software engineers would be Han Chinese lol. Would it be wrong to show them a group of Chinese engineers? How about showing them 100% non-Chinese when they explicitly ask for Chinese? That's how messed up Gemini is.
Anyway, this is all a stupid argument. Talking about numbers like that in a field as diverse as software engineering is a bad idea, because it has no bearing on the problem. Let the AI generate what it wants to by default, and let people fine-tune to get other ethnicities in there if they want to. If I ask for 5 people with one white, one asian, one black, one Mexican, and one albino, the AI should be able to do that. Focus on correctness and leave judgement to the people consuming the output. I think proportions are only a problem with Gemini because it produces 0% images of white people, even in contexts that demand at least some white presence to not be absurd.
I expect Gemini to still be biased against white people after it's fixed. It will just be more subtle.