Two months after the deafening death of a prominent artificial intelligence researcher at Google, a second AI researcher at the company said she was fired after criticizing the way they treated employees. are looking to tackle their bias and toxicity in AI. systems.
Margaret Mitchell, known as Meg, who is one of the heads of Google’s Ethical AI team, submitted a tweet on Friday afternoon just said: “I’m fired.”
Google confirmed that her work was terminated. “After conducting a review of this manager ‘s behavior, we confirmed that there were many violations of our code of conduct,” the company said.
The statement further affirms that Dr. Mitchell has violated the company’s privacy policies by deleting confidential documents and employee personal data from the Google network. The company said Dr. Mitchell had previously attempted to delete such files, the Axios news site reported last month.
Dr. Mitchell said on Friday night that she will soon have a public comment.
Dr. Mitchell’s post on Twitter comes less than two months after Timnit Gebru, another leader of the ethical AI team at Google, said she was fired by the company after criticizing the company’s approach. for minority hiring as well as AI bias approach After Dr. Gebru left the company, Dr. Mitchell strongly and publicly criticized Google’s stance on the matter.
Over a month ago, Dr. Mitchell said that she had locked out of her work account. On Wednesdays, she tweeted that she is still locked after trying to protect Dr. Gebru, who is black.
She writes: “Exhausted with endless degradation to save the face of the High Crust in the technology sector at the expense of the minority’s lifelong career.
Dr. Mitchell’s departure from the company is another example of rising tensions between the top management of Google and the Google workforce, which are more outspoken than workers at other large companies. . The news also highlights a growing conflict in the tech industry over bias in AI, which has led to questions regarding hiring from underrepresented communities.
Today’s AI systems can bear human prejudice because they learn their skills by analyzing large amounts of digital data. Because the researchers and engineers that build these systems are usually white men, many worry that researchers are not paying attention to this problem.
Google announced in a blog post yesterday that an executive at the company, Marian Croak, who is black, will oversee a new group in the company dedicated to responsible AI.