Two months later the harrowing departure of a well-known artificial intelligence researcher a second A.I. The company’s researcher said she was fired after criticizing the treatment of employees who worked to combat bias and toxicity in their artificial intelligence systems.
Margaret Mitchell, known as Meg, was a director of Google’s Ethical A.I. Team, sent a Tweet on Friday afternoon just say, “I’m fired.”
Google confirmed that her employment relationship has ended. “After reviewing the conduct of this manager, we confirmed that there were several violations of our code of conduct,” the company said in a statement.
The statement went on to claim that Dr. Mitchell violated the company’s security guidelines by removing confidential documents and private employee data from the Google network. The Company said beforehand that Dr. Mitchell had attempted to remove such files, Axios news site reported last month.
Dr. Mitchell said Friday night that she would have public comment soon.
Dr. Mitchell’s post on Twitter comes less than two months after Timnit Gebru, the other head of the Ethical A.I. Team at Google, said she was fired from the company after criticizing his approach to minority attitudes as well as his approach to bias in A.I. After the departure of Dr. Gebru from the company criticized Dr. Mitchell emphatically and publicly expressed Google’s stance on the matter.
More than a month ago, Dr. Mitchell that she was banned from her work accounts. On Wednesday she has tweeted that she stayed locked out after trying to get Dr. Gebru who is black to defend.
“Exhausted from the endless deterioration to save the face of the upper crust in tech at the expense of minority minority careers,” she wrote.
The departure of Dr. Mitchell from the company was another example of the growing tension between Google senior management and employees, which is more open than those of other large companies. The news also highlighted a growing conflict in the tech industry Bias in A.I.., which is intertwined with attitudes of underrepresented communities.
Today’s A.I. Systems can be prejudiced by humans because they learn their skills by analyzing large amounts of digital data. Because the researchers and engineers who build these systems are often white men, many fear that researchers are not paying this topic the attention it needs.
Google announced in one blog entry Yesterday a company executive, Marian Croak, who is Black, will oversee a new group within the company dedicated to the responsible A.I.