Google ethical AI group’s turmoil began long before public unravelling


The collapse of the group’s leadership has provoked debate in the artificial-intelligence community over how serious the company is about supporting the work of the Ethical AI group – and ultimately whether the tech industry can reliably hold itself in check while developing technologies that touch virtually every area of people’s lives. — Dreamstime/TNS

For more than three years, Google held up its Ethical AI research team as a shining example of a concerted effort to address thorny issues raised by its innovations. Created in 2017, the group assembled researchers from underrepresented communities and varied areas of expertise to examine the moral implications of futuristic technology and illuminate Silicon Valley’s blind spots. It was led by a pair of star scientists, who burnished Google’s reputation as a hub for a burgeoning field of study.

In December 2020, the division’s leadership began to collapse after the contentious exit of prominent Black researcher Timnit Gebru over a paper the company saw as critical of its own artificial intelligence technology. To outsiders, the decision undermined the very ideals the group was trying to uphold. To insiders, this promising ethical AI effort had already been running aground for at least two years, mired in previously unreported disputes over the way Google handles allegations of harassment, racism and sexism, according to more than a dozen current and former employees and AI academic researchers.

Unlock 30% Savings on Ad-Free Access Now!

Monthly Plan

RM13.90/month
RM9.73 only

Billed as RM9.73 for the 1st month then RM13.90 thereafters.

Annual Plan

RM12.33/month
RM8.63/month

Billed as RM103.60 for the 1st year then RM148 thereafters.

1 month

Free Trial

For new subscribers only


Cancel anytime. No ads. Auto-renewal. Unlimited access to the web and app. Personalised features. Members rewards.

Follow us on our official WhatsApp channel for breaking news alerts and key updates!
Racism , sexism , bias in algorithms

Others Also Read


Want to listen to full audio?

Unlock unlimited access to enjoy personalise features on the TheStar.com.my

Already a member? Log In