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As any heavily stereotyped 13-year-old girl would, she zips through topics at breakneck speed, sends you senseless internet gags out of nowhere, and resents being asked to solve math problems.
I’ve been checking in with Zo periodically for over a year now.
That’s not the case for the other triggers I’ve detailed above.
In order to keep Zo’s banter up to date, Microsoft uses are variety of methods.
But now instead of auto-censoring one human swear word at a time, algorithms are accidentally mislabeling things in the thousands.
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.
Though Google emphatically apologized for the error, their solution was troublingly roundabout: Instead of diversifying their dataset, they blocked the “gorilla” tag all together, along with “monkey” and “chimp.”AI-enabled predictive policing in the United States—itself a dystopian nightmare—has also been proven to show bias against people of color.
Northpointe, a company that claims to be able to calculate a convict’s likelihood to reoffend, told Pro Publica that their assessments are based on 137 criteria, such as education, job status, and poverty level.
The effort in machine learning, semantic models, rules and real-time human injection continues to reduce bias as we work in real time with over 100 million conversations.”While Zo’s ability to maintain the flow of conversation has improved through those many millions of banked interactions, her replies to flagged content have remained mostly steadfast.