Race and Research: What’s Next?

Episode 103

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Race and Research: What’s Next?
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Stat: 68%: The percentage of technology experts who express doubt about ethical standards in artificial intelligence systems.

Story: Technology driven by artificial intelligence and other data science will lead to life-changing innovation in the coming years. But much of the historical data those innovations will rely on could be biased. In this episode, Lee Rainie, director of internet and technology research at the Pew Research Center, reports on the growing ethical concerns of technology experts about the use of artificial intelligence. And Jeannette Wing, who leads the Data Science Institute at Columbia University, discusses ways scientists are confronting bias and how to use “data for good.”

Related resources:

Experts Predict More Digital Innovation by 2030 Aimed at Enhancing Democracy

Experts Doubt Ethical AI Design Will Be Broadly Adopted as the Norm Within the Next Decade

Experts Say the ‘New Normal’ in 2025 Will Be Far More Tech-Driven, Presenting More Big Challenges

The Data Life Cycle

Data for Good: FATES, Elaborated

Related Experts
Lee Rainie
Lee Rainie Director, Internet Science and Technology
Pew Research Center
Jeannette M. Wing
Jeannette M. Wing Avanessians Director
Data Science Institute at Columbia University
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Biomedical researchers are at the heart of nearly every medical advancement. From cutting-edge cancer treatments to breakthrough discoveries about emerging viruses, these scientists use creativity and ingenuity to explore new horizons in human health and medicine. And for nearly 40 years, The Pew Charitable Trusts has supported more than 1,000 early-career researchers committed to this work.

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Race and Research

In a new season of Pew’s “After the Fact” podcast, we explore diversity in America and how race intersects with research in a range of fields—from public opinion polling to medicine to economics.

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