Gender bias in recruitment: How AI hiring tools are hindering women’s careers
Artificial intelligence is enforcing existing gender biases when it comes to recruitment, according to a new report. But it may have one saving grace.
Artificial intelligence is enforcing existing gender biases when it comes to recruitment, according to a new report. But it may have one saving grace.
When Google forced out two well-known artificial intelligence experts, a long-simmering research controversy burst into the open.
An argument against human gene editing technology being used to edit out disabilities.
In this Q&A with former Facebook employee Kaya Thomas, she discusses what it’s been like to work as a Black woman in tech in her internships and what top companies should be doing to attract minority candidates like her.
The workers were involved in labor organizing at the company and participated in walkouts last year.
Following a dispute over several emails and a research paper on Wednesday, AI ethics pioneer and research scientist Timnit Gebru no longer works at Google.
Gebru, a widely respected leader in AI ethics research, is known for coauthoring a groundbreaking paper that showed facial recognition to be less accurate at identifying women and people of color, which means its use can end up discriminating against them.
Timnit Gebru, one of the few Black women in her field, has voiced exasperation over the company's response to efforts to increase minority hiring.
Timnit Gebru says a manager asked her to either retract or remove her name from a research paper she had coauthored, because an internal review had found the contents objectionable. The contents were about bias in AI.
Timnit Gebru, a co-leader of the Ethical Artificial Intelligence team at Google, said she was fired for sending an email that management deemed “inconsistent with the expectations of a Google manager.”