People

Google’s AI ethics team is furious with Jeff Dean

Members of Timnit Gebru's team at Google published a letter calling Google's paper review process discriminatory.

Google’s AI ethics team is furious with Jeff Dean

Timnit Gebru's firing has resulted in backlash against Jeff Dean.

Photo: Kimberly White/Getty Images

Google AI lead Jeff Dean is in hot water with members of Timnit Gebru's team at Google, who published a letter Monday challenging his story about Gebru's resignation and calling the research paper review process discriminatory. Gebru's forced departure stemmed from conflict over a research paper about ethical questions for large-language models (which are a big research focus at Google Brain): Google wanted Gebru to take her name off the paper, Gebru threatened to resign, and then Google took that opportunity to remove her from the team.

  • The biggest revelation from the letter is that almost half of all research papers submitted for approval through Google's internal process are done so with a day or less notice to reviewers, despite Dean's claim that the process requires two weeks. He used that claim to justify why Google tried to force Gebru to retract or take her name off of the paper, and this letter seems to debunk that main defense.

More than 1,500 people at Google have signed a petition in support of Gebru and calling for changes to Google's paper review process, including senior engineers and team leaders. Gebru's boss, Samy Bengio, said he was "stunned" at her firing in a post. Others on her team and in the AI ethics community more broadly have written about their disappointment with Dean specifically, who has been a hero for many in the field. Google did not immediately respond to request for comment.

The pushback against Google and Dean specifically here has reached a pretty unprecedented level — and I seriously try to avoid using the word unprecedented. Rather than dying out over the weekend, the anger has escalated. As a number of folks in the industry told me last week, the reputational damage for Google and Dean could be long-lasting here, even when the media circus dies down. Research integrity is paramount for anyone who is remotely serious about AI, and that integrity is a big question mark for anyone looking at Google research now.

Shoot me an email at akramer@protocol.com if you work at Google or in the AI ethics space and would like to talk, or if you'd like my Signal. A version of this article will appear in Tuesday's Source Code newsletter, which you can find here.

 Anna Kramer

Anna Kramer is a reporter at Protocol (Twitter: @ anna_c_kramer, email: akramer@protocol.com), where she writes about labor and workplace issues. Prior to joining the team, she covered tech and small business for the San Francisco Chronicle and privacy for Bloomberg Law. She is a recent graduate of Brown University, where she studied International Relations and Arabic and wrote her senior thesis about surveillance tools and technological development in the Middle East.

jeff dean timnit gebru google artificial intelligence protests culture discrimination workers
Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

Keep Reading Show less
Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

cryptocurrency blockchain bitcoin lawsuit
sponsored content
Sponsored Content

How is technological innovation breaking down barriers and increasing access to financial services?

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

Keep Reading Show less
FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
sponsored sponsored content
amazon web services
Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

Keep Reading Show less
Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

aws amazon web services cloud computing analytics data analytics adam selipsky

Farewell from Protocol

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

Keep Reading Show less
Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

machine learning
Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

Keep Reading Show less
Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

mlops ai machine learning
Latest Stories
Bulletins