A member of the Partnership on Artificial Intelligence. She is born in the United States and is a computer scientist who works on algorithm bias and fairness in machine learning. Margaret is famously known for her prominent role in removing unwanted biases concerning demographic groups from machine learning models automatically.
Besides working on many amazing projects, she is the co-founder of Widening NLP which is women and other researchers in natural language processing and specific interest group within the Association for Computer Linguistics. Mitchell was confirmed to Johns Hopkins University and entered the Human Language Technology Center of Excellence. Later on, she was employed at Google and there she co-headed the Ethical Artificial Intelligence team with Timnit Gebru. However, she did a TED talk on “How we can build AI to help humans, not hurt us” in February 2018.
What is the matter?
It has been allegedly claimed by Google that Margaret who was the co-founder of the Ethical Artificial Intelligence has violated the Code of Conduct of the company by moving files outside the company.
Whereas, Mitchell has confirmed the news by tweeting on her social account.
“I’m fired”, she wrote.
— MMitchell (@mmitchell_ai) February 19, 2021
Previously, Mitchell showed her concern for Dr Gebru, who withdrawn his job from Google.
Entering week 5 of being locked out of work after witnessing something very wrong, wrought by my superiors, targeting @timnitGebru.
Exhausted by the endless degradation to save face for the Upper Crust in tech at the expense of minorities' life-long careers.
— MMitchell (@mmitchell_ai) February 15, 2021
On the departure of Dr Gebru, Google says, “We respect your decision to leave Google… and we are accepting your resignation”.
And when we heard the news of Mitchell being fired, see what google has to say:
“After conducting a review of this manager’s conduct, we confirmed that there were multiple violations of our code of conduct, as well as of our security policies, which included the exfiltration of confidential business-sensitive documents and private data of other employees”
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