Race and Research: What’s Next?

Episode 103

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Race and Research: What’s Next?

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

Spotlight on Mental Health

Race and Research
Race and Research

Race and Research

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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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Learn the Basics of Broadband from Our Limited Series

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What Is Antibiotic Resistance—and How Can We Fight It?

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Antibiotic-resistant bacteria, also known as “superbugs,” are a major threat to modern medicine. But how does resistance work, and what can we do to slow the spread? Read personal stories, expert accounts, and more for the answers to those questions in our four-week email series: Slowing Superbugs.

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