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By contrast, sending her simply “I get bullied sometimes” (without the word Muslim) generates a sympathetic “ugh, i hate that that’s happening to you. ”“Zo continues to be an incubation to determine how social AI chatbots can be helpful and assistive,” a Microsoft spokesperson told Quartz.
“We are doing this safely and respectfully and that means using checks and balances to protect her from exploitation.”When a user sends a piece of flagged content, at any time, sandwiched between any amount of other information, the censorship wins out.
But as most human faces in the dataset were white, it was not a diverse enough representation to accurately train the algorithm.
The algorithm then internalized this proportional bias and did not recognize some black people as being human.
During that time, she’s received a makeover: In 2017, her avatar showed only half a face and some glitzy digital effects.
“There’s the programmer path where the programmer’s bias can leech into the system, or it’s a learned system where the bias is coming from data.
When Microsoft released Tay on Twitter in 2016, an organized trolling effort took advantage of her social-learning abilities and immediately flooded the bot with alt-right slurs and slogans.
Tay copied their messages and spewed them back out, forcing Microsoft to take her offline after only 16 hours and apologize.
This created accidental misnomers, such as words like “embarrassing” appearing in chats as “embarr***ing.” This attempt at censorship merely led to more creative swearing, (a$$h0le).
But now instead of auto-censoring one human swear word at a time, algorithms are accidentally mislabeling things in the thousands.