One afternoon in Florida in 2014,18-year Brisha Borden was running to pick up her god-sister from school when she spotted an unlocked kid’s bicycle and a silver scooter. Brisha and a friend grabbed the bike and scooter and tried to ride them down the street. Just as the 18-year-old girls were realizing they were too big for the toys, a woman came running after them saying, “That’s my kid’s stuff.” They immediately dropped the stuff and walked away. But it was too late — a neighbor who witnessed the event had already called the police. Brisha and her friend were arrested and charged with burglary and petty theft for the items, valued at a total of $80.

The previous summer, 41-year-old Vernon Prater was picked up for shoplifting $86.35 worth of tools from a nearby Home Depot store. He had already been convicted of several armed robbery charges and had served 5 years in prison. Borden, the 18 year old, had a record too — but for juvenile misdemeanors.

For the the full transcript and podcast:

https://medium.com/nevertheless-podcast/transcript-garbage-in-garbage-out-78b74b08f16e

Bias, AI, Gender Bias, Gender Gap, Women in the WorkplaceBrigitte BellanNovember 8, 2017Joanna Bryson, ProPublica, Nevertheless, Sue Black, Chuin Phang, Pearson, Carissa Romero, Paradigm

AI robots learning racism, sexism, and other prejudices from humans, study finds - The Independent

Artificially intelligent robots and devices are being taught to be racist, sexist and otherwise prejudiced by learning from humans, according to new research.

A massive study of millions of words online looked at how closely different terms were to each other in the text – the same way that automatic translators use “machine learning” to establish what language means.

Some of the results were stunning.

Prejudice, AI, Sexism, RacismBrigitte BellanJuly 2, 2017Independant, Robots, Machine Learning, Joanna Bryson, University of Bath, AI filters, European Union, Law