“I think trust and diversity, having a wider set of people looking at the data, the type of data, the bias in data, all of these things are really essential for big companies,” Lili Cheng said.
“We’ve seen a lot of different cases where, as we’re starting to develop this new technology, there are errors. There’s a lot of bias in AI,” Lili Gangas said. “And unfortunately, if you don’t have the voices … that are representative of the community that’s trying to use it, you are going to have limited technology.”
She said that without this representation, teams lack the guidance they need to develop AI solutions that put communities’ most urgent priorities first.
“It really matters that you have a diverse team, not just at one end, but from the beginning,” Lili Gangas continued, adding that a variety of perspectives provides insights into something that all teams should consider: “How is this going to help improve somebody’s life?”
Rodney also emphasized the importance of inclusiveness, explaining to Jeff that technology hubs are presenting great opportunities, but not all communities are benefiting. And when tech teams don’t reflect the populations around them, they run the risk of developing products and offering solutions that don’t meet their communities’ needs.
“It impacts our voice. It impacts our politics. It impacts our health, education and really everything,” Rodney said.
Through boot camps, mentorships and other initiatives, organizations can prioritize inclusiveness in hiring, product development and decision-making to remedy this inequity, he added.
It’s time to realize the power of the human-AI connection
Artificial intelligence and people have something in common: they need each other to succeed.
“I think that’s how we create a collective good,” Rodney told Jeff. “Humans and machines working hand in hand to solve problems.”
Technology can power solutions to open up opportunities for businesses and people alike. Humans can benefit from technology while driving it, and technology can unlock human potential.
The sheer possibilities are inspiring. And because technology and innovation are essential to achieving this goal, EY has made them top priorities.
As an example of the EY commitment to technology, the organization hosted a Global Innovation challenge, asking internal teams around the world to pitch their best ideas for bringing AI into new environments. A team in Australia was then awarded US$100,000 to develop their winning concept, an automation tool for cybersecurity management.
Through similar initiatives, more organizations are exploring how to extend the benefits of AI beyond the bottom line. Such work is encouraging because it reflects another EY belief: artificial intelligence can — and should — be used to drive human advancement, not just business successes.
That’s why EY is focused on harnessing technology to power human enterprise. When organizations use today’s tools to boost human ingenuity, resourcefulness and experiences, business results aren’t the only potential by-product: new solutions for the better working world of tomorrow can materialize.
For society to keep moving forward, people must believe in the power of the human–machine connection rather than viewing technology as a replacement for humans. This shift in thinking is what drives the EY-AI4ALL relationship and other collaborations.