White folks mad cause AI keeps making everyone Black

[BigDaddyBuk]

https://www.axios.com/2024/03/01/meta-ai-google-gemini-black-founding-fathers

Meta AI creates ahistorical images, like Google​

Screenshot: AI-generated images from Meta AI's Imagine tool inside Instagram direct messages.
Meta's Imagine AI image generator makes the same kind of historical gaffes that caused Google to stop all generation of images of humans in its Gemini chatbot two weeks ago.
Why it matters: AI makers are trying to counter biases and stereotyping in the data they used to train their models by turning up the "diversity" dial — but they're over-correcting and producing problematic results.
Catch up quick: After high-profile social media posters and news outlets fanned an outcry over images of Black men in Nazi uniforms and female popes created by Google's Gemini AI image generator in response to generic prompts, Google was quick to take the blame.

• Google stopped Gemini from generating images of humans, saying, "Our tuning to ensure that Gemini showed a range of people failed to account for cases that should clearly not show a range" and called it "way more cautious than we intended."
• Google's stock lost $80 billion in market value — at least temporarily — because of the errors, per Bloomberg.

Yes, but: This isn't just a Google problem, though some critics have painted the search giant as "too woke."

• As late as Friday afternoon, Meta's Imagine AI tool was generating images similar to those that Gemini created.
• Imagine does not respond to the "pope" prompt, but when asked for a group of popes, it showed Black popes.
• Many of the images of founding fathers included a diverse group.
• The prompt "a group of people in American colonial times" showed a group of Asian women.
• The prompt for "Professional American football players" produced only photos of women in football uniforms.

How it works: Imagine is an AI image generator included in Instagram and Facebook DMs and also available at Imagine.Meta.com (as long as you log in).

• Imagine is based on Meta's Emu image-synthesis model, which the company trained on billions of public visible Facebook and Instagram images and is intended to create images based on "increasingly wild ideas."
• To access Imagine in Instagram, go to direct messages, select an existing DM, tap the sticker icon (a square with a face), then choose Imagine.

signs of things to come?

 

[RoomService]

signs of things to come?

No, don't forget whose programming these AI machines.

 

[BigDaddyBuk]

No, don't forget whose programming these AI machines.

It ain't Black folks

 

[Dr. Truth]

Cacs are such pussies always complaining

 

[easy_b]

No, don't forget whose programming these AI machines.

Not necessarily. I seen a few people speak about the far future where majority of the planet is going to have some form of brown tint to them. The days of those super white people is fading and you actually see that going on right now.

 

[Non-StopJFK2TAB]

Are there black people out there that want to see a black George Washington pull out a black man’s tooth?

 

[kidmegaii]

Over correction, respect the efforts, be cause googles original internet trained AI was wild racist.

 

[4 Dimensional]

AI is all data driven. It only works as good as the data collected. This includes images, which all images can be translated into a binary file, and word database. A binary file is a numeric version of any digital object.

For the last 20+ years, we have freely been giving our data via social media platforms. It’s all been collected and stored for it to be recalled using machine learning techniques. It’s just an advance form statistics used for predictability and decision making.

So two things are at play, the programmer and the demographics of data. As I mentioned before, AI only works as good as the data provided. Companies like Google, FB, Microsoft, and so forth have their data, but they also buy it from other entities as well. When creating AI models, the process is oversaw by those who can tailor how AI models are trained. They can implement bias and the models will act on those bias.

Since we are still in the early phases, AI models still struggle significantly to rendering brown people. The models were trained for white people.