Google's Firing of Top Two Ethical AI Leaders Raises Concerns

By

Google has fired both leads of its Ethical AI unit, leaving doubt about the direction of the team. The company has come under fire in recent months for alleged gender bias, racism, gaslighting and censorship.

Last month, the company's workers formed the first major union in Silicon Valley in support of employee activism. The most recent controversy involves the firing of Margaret Mitchell, co-lead of Google's Ethical AI unit and an ethical AI expert. Mitchell specialized in a variety of topics, including machine learning bias, race, gender diversity and language models for image capture. She announced her firing in a tweet last Friday.

The move follows the firing of Timnit Gebru in December. Gebru was the other co-lead of the Ethical AI team, and had worked with Mitchell in that capacity for about two years. Google said in a statement that Mitchell had been fired after confirmation of "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."

Gebru claims she was fired for criticizing the company for silencing marginalized voices. She also co-authored a research paper urging tech companies to ensure AI language systems do not promote gender bias. Google says Gebru resigned.

Sundar Pichai, CEO of Google, has publicly apologized for the handling of Gebru's removal and has promised to work on restoring employee trust. Gebru's removal has been cited as one of the reasons workers created the groundbreaking Alphabet Workers Union last month.

Alex Hanna, a Google employee who worked closely with Gebru and Mitchell, tweeted that the company has been running a "smear campaign" against the two researchers. Google has not commented on her remarks.

Google said the company had conducted an internal investigation into Gebru's departure that will lead to a change in policies. Google said changes will include new procedures surrounding "potentially sensitive employee exits" as well as linking pay to diversity goals in some cases.




Edited by Maurice Nagle
Get stories like this delivered straight to your inbox. [Free eNews Subscription]

TechZone360 Contributing Editor

SHARE THIS ARTICLE
Related Articles

How Is AI Bringing Intelligence to Traditionally Manual Inspection Workflows?

By: Contributing Writer    10/16/2026

For insurers, rental companies, fleet operators, and remarketing businesses, vehicle inspections are a part of everyday operations. Much of that proce…

Read More

3 Factors That Can Dramatically Impact Your Microsoft Intune Spend

By: Contributing Writer    10/13/2026

With remote and dispersed work here to stay for the long term, secure endpoint management has become a big headache for IT and cybersecurity teams. Th…

Read More

Why Threat Modeling Fails Without an Attacker's Perspective

By: Contributing Writer    10/13/2026

A security team might spend weeks mapping attack paths and planning defenses, only to be breached through a web application nobody remembered was stil…

Read More

From AI Experiment to Enterprise Strategy: Making Claude Work at Scale

By: Contributing Writer    10/12/2026

Artificial intelligence often enters an organization through experimentation. One employee discovers a useful prompt, another tests document analysis,…

Read More

SIEM needs exposure context to keep pace with AI-era threats

By: Contributing Writer    10/6/2026

Security information and event management (SIEM) platforms give security operations center (SOC) teams a central place to collect and analyze security…

Read More