A second Google A.I. researcher says the company fired her.

Two months later Frustrated departure of a well-known artificial intelligence researcher At Google, another AI researcher at the company said he was fired after criticizing the way employees were working on ways to address bias and toxicity in their artificial intelligence systems.

Margaret Mitchell, better known as Meg, who was one of the leaders of Google’s Ethical AI team, sent Tweet On Friday afternoon only saying: “I have been fired.”

Google confirmed that his employment was terminated. “After reviewing the conduct of this manager, we confirmed that there were several violations of our code of conduct,” a company statement read.

This statement was claimed by Drs. Mitchell had violated the company’s security policies by picking up confidential documents and personal employee data from the Google Network. company Said earlier Dr. Mitchell had tried to delete such files, the news site Axios reported last month.

Dr. Mitchell said on Friday evening that he would soon make a public comment.

Dr. Mitchell’s post on Twitter comes less than two months after Timnit Gabru, another leader of Ethical AI at Google. Said that he was fired by the company After criticizing Minority Hiring as well as its approach to bias in AI, the company received a Dr. In view of Gabru’s departure, Drs. Mitchell strongly criticized and publicly criticized Google’s stand on the matter.

More than a month ago, Drs. Mitchell said he was left out of his work accounts. On Wednesday, he Tweeted Dr. He remained locked out after trying to protect Gabru, who is black.

“Due to the endless decline to save face for Upper Crust at Tech at the expense of the lifelong career of minorities,” she wrote.

Dr. Mitchell’s exit from the company was another example of the growing tension between Google’s senior management and its workforce, which is more pronounced than in workers at other large companies. The news also highlighted the growing conflict in the tech industry AI in bias, Which is at least associated with questions related to hiring from communities.

Today’s AI systems can carry human biases as 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 worry that researchers are not paying attention to the issue.

Google announced in one blog post Tomorrow that an executive at the company, Marion Crack, who is Black, will oversee a new group inside the company dedicated to responsible AI.


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