Google has been widely criticized for cracking down on AI ethics
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Google has been widely criticized for cracking down on AI ethics

By / December 5, 2020

Timnit Gebru is known for her research on bias and inequality in AI, and especially in 2018 Paper She coauthored with Joy Buolamwini pointing out that commercial face recognition software is not very good when trying to classify women and people of color. Their work has spawned widespread awareness of common issues in current AI, especially as technology has a role to play in determining anything about humans.
At Google, Gebru is a collaborator of the company’s ethical AI team, and one of Black’s many employees. At the company as a whole (3.7% of Google employees are based on the company’s 2020 Diversification Report) – Not in its AI division. The research scientist is also a provider of the Black in AI group. Wednesday night, Gebru tweeted That she was “immediately fired” for an email she sent to a woman’s internal mailing list and Google Mail.
In Later tweets, Gebru clarified that no one at Google clearly said she was fired. Instead, she said Google would not meet her conditional terms of return and accept her resignation immediately because it felt her email reflected “behavior that did not meet Google manager’s expectations.”
In an email, which was published by First Press Platform On Thursday, Gebru wrote that she felt “consistently dishonored” at Google and expressed surprise at the lack of diversity that still lingers at the company.

“Because there is no zero responsibility. There is no incentive to hire women. 39%: Your life gets worse. When you start swapping for people with sugarcane agents, you start to upset other people when they do not want to give a good grade during the calibration.

Gebru also expressed frustration about the internal process involving the review of research papers she has collaborated with others at Google and outside the unpublished company.

Research papers in question

Gebru, who joined Google in late 2018, told CNN Business that the research paper in question was about the dangers of large-scale language models – a growing trend in AI with the release of more capable systems that could create Messages with human voices Such as recipes, poems, and news articles. This is also an area of ​​AI that Google has shown it feels is key to its future in search.
Gebru said the documents had been delivered Conference on Justice, Accountability, and Transparency, Which will be held in March, and there is nothing wrong with how Google submits documents for internal review. She said she wrote an email Tuesday evening after a long return to Google AI, in which she was once again told to remove the paper from the deliberation session or remove her name from it.

Gebru told CNN Business that she was notified on Wednesday that she was no longer working for the company. “It does not have to be this way all the time,” Gebru said.

Email sent to Google Research staff

A Google spokesman said the company had no comment.

In an email sent to a Google Research employee on Thursday, he said Advertise On Friday, Jeff Dean, head of Google’s AI company, told his staff: “Gebru wrote the document but did not allow the company to have two weeks to inspect it before the deadline. The document was reviewed internally, you wrote it, but it “did not meet our tab for publication.”

Dean added: “Unfortunately, this particular document was shared with the notice one day before the due date – we need two weeks for this kind of inspection – and then instead of waiting for the inspector’s feedback, it was approved for submission and submission.”

He said Gebru was responding to a call that would be met if she had to stay at Google. “If we do not meet these requirements, she will leave Google and work on the deadline,” Dean wrote.

Gebru told CNN Business that her terms included transparency on how to withdraw, as well as a meeting with Dean and other AI executives at Google to talk about retaining researchers.

“We accept and respect her decision to leave Google,” Dean wrote. He also described some of the company’s research and audit processes and said he would speak to Google’s research team, including the team with the ethical AI system, “so they know we have a strong complement to these critical research.”

Quick switching display

Just after Gebru’s initial tweet on Wednesday, a colleague and others quickly hacked the internet on her internet, including Margaret Mitchell, who used to lead the Gebru team at Google.

“Today we feel a tragic loss of life in the year of the tragic loss of life,” said Mitchell. tweeted On Thursday. “I can not speak of the pain of losing @timnitgebru as my leader. I can stand out because she – like everyone else – I was mostly shocked.”
“I have you with you like you used to own,” tweeted Buolamwini, who in addition to collaborating on the 2018 paper with Gebru, is the founder of the Algorithmic League. “You are a dignified and respectful person. You listen to other people who do not care. You ask difficult questions not to be arrogant but to uplift the community that we are part of.
Sherrilyn Ifill, Chair and Advisor to the Director, NAACP Legal Education and Legal Education Fund; tweeted“I learned a lot from her about AI bias. What a disaster.”
By noon Friday, a The middle thread decides to leave her And calls for transparency in Google’s decision on research papers signed by more than 1,300 Google employees and more than 1,600 sponsors in the field of education and AI. Their sharers include a large number of women who have fought inequality in the tech industry: Ellen Pao, CEO of Project Inc Inc and former CEO of Reddit; Ifeoma Ozoma, former Google employee who founded Earthseed; And Meredith Whittaker, technical director at AI Now and co-host of the Google Walkout 2018, which protests sexual harassment and misconduct at the company. Others include Buolamwini, as well as Danielle Citron, a law professor who specializes in cyberbullying education at the University of Boston and MacArthur Fellow 2019 student.

Citron told CNN that she sees Gebru as a “leading light” when it comes to disclosure, racial enlightenment and education, and embedding the inequities that arise in algorithmic systems. She says Gebru has shown how important it is to reconsider data collection, and asks whether we should use these systems.

“WTF, Google?” He said. “Sorry, but you’re lucky to have come to work for you.”

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