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BI Africa  >  Strategy


WHY ARTIFICIAL INTELLIGENCE MODELS ARE OFTEN BIASED, ACCORDING TO THE GOOGLE
EXEC WHO HEADS ALPHABET'S INTERNAL TECH INCUBATOR JIGSAW

Dominic-Madori Davis
August 3, 2020 12:47 PM



Yasmin Green is the director of research and development for Jigsaw (Google).
Tory Burch Foundation


 * In early March, The Tory Burch Foundation hosted its Embrace Action 2020
   Summit, which saw leaders and entrepreneurs from around the world gather to
   talk about gender parity and inclusion in the workforce.
 * At the Summit,Bank of America COO Thomas Montag spoke with former AOL CEO
   Steve Case , Goldman Sachs Partner Dina Powell , and Tory Burch about how
   their companies aimed to create a more inclusive industry.
 * Diane von Furstenberg also spoke at the conference, as did Gloria Steinem,
   former co-CEO of Ariel Investments Mellody Hobson , and activist-model Halima
   Aden .
 * Yasmin Green , director of research and development for Jigsaw, an internal
   tech incubator within Google parent company Alphabet, spoke about the role
   human bias plays when programming artificial intelligence.
   
 * Visit Business Insider's homepage for more stories.

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The Tory Burch Foundation Summit in early March was a gathering of some of the
most prominent executives and entrepreneurs in the world.

Bank of America COO Thomas Montag former AOL CEO Steve Case , and Dina Powell
McCormick , partner and member of the Management Committee at Goldman Sachs,
were a few of the execs who spoke about how they sought to make their companies
more inclusive.

A prominent theme throughout the conference was gender parity in the workplace.

"The word 'ambition' takes on a completely different meaning when applied to a
woman than when applied to a man,Burch told Business Insider. "Women are
criticized for exhibiting the exact same quality men are praised for. This has
to change. We do that by shining a light on unconscious gender bias, which was
the focus of our Summit."



Yasmin Green, director of research and development at Jigsaw, a unit of Google
parent company Alphabet, spoke about one particularly complex hurdle in modern
society: the difficulty of programming artificial intelligence without bias.

The problem with training AI on humans, Green said, is that humans are biased ,
and when the data that feeds AI is biased, then the AI becomes biased itself.


"ARE WE CONTENT WITH ALGORITHMS THAT REFLECT BACK TO US THE WAY THE WORLD
WORKS?"

Green detailed an experiment that demonstrated this unconscious bias in AI. She
and her team created the same fake professional profile for a woman and a man
and browsed online job sites as each of these imaginary people. In the end, they
found that men were five times as likely to see ads for higher-paying jobs than
women.

This, she said, was because women believe they must fulfill 100% of the
requirements before they apply to a job, whereas men believe they only need to
meet at least 60% of the requirements before they apply to the job.

"So at the same skill level, we [women] are clicking on jobs that are less
senior and less well paid,Green said. "But if we click that way, then the
internet is going to learn and that's what we're going to see."

Green not pictured.

Dominic-Madori Davis



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