Researchers today are trying to understand how information technology affects innovation, productivity, and economic growth while studying the impact of political and legal ground rules. Academics featured here are looking at the potential to create jobs and keep policymakers aware of emerging trends in technology.
"It may be easier for companies to stay in silos, but that just makes them more vulnerable to disruption." — Joshua Gans, Professor of Strategic Management, University of Toronto
"Strong cryptography secures information about who is making those transactions at every step and offers powerful guarantees against tampering. If Facebook can establish Libra as a trusted way for users make their transactions, it will go a long way to rebuilding trust in Facebook itself." — Kevin Werbach, Professor of Business and Ethics, University of Pennsylvania
This article asks why the current era of unprecedented innovation is not seeing major gains in productivity. MIT economist and artificial intelligence expert Erik Brynjolfsson is quoted.
MIT’s Erik Brynjolfsson discusses a new method for measuring the benefits of the digital economy during an interview at the World Economic Forum.
Frank Pasquale, University of Maryland law professor and artificial intelligence (AI) expert, shares his thoughts on four new legally-inspired rules that should be applied to robots and AI in our daily lives.
In this op-ed for the Wall Street Journal, Matthew Slaughter, the Tuck School of Business at Dartmouth College, discusses how place-based “heartland” visas could help arrest the decline of high-skilled workers in America.
"The hurdles are not just regulatory. This stuff is very hard to do. I think the Utah project is important because it's a step toward trying to validate that this stuff would work safely." — Ryan Calo, Cyberlaw and Robotics Professor, University of Washington
"The industry has to acknowledge the gravity of the situation and admit that its existing methods have failed to address these problems. The use of AI systems for the classification, detection, and prediction of race and gender is in urgent need of re-evaluation." — Kate Crawford, Co-director and Co-founder, AI Now Institute
"We're trying to grapple with big questions that no discipline has monopoly over. What we want to do is make sure we get the greatest minds studying these questions." — Susan Athey, Professor of the Economics of Technology, Stanford Graduate School of Business
"The problem is that human skills, human institutions, business processes change much more slowly than technology does. We're not keeping up. That's why this human-centered AI initiative is so important. How can we adapt our economics, our laws, our societies? Otherwise, we're going to be facing more of the unintended consequences." — Erik Brynjolfsson, Director, MIT Initiative on the Digital Economy
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In “A Toolkit of Policies to Promote Innovation,” Professors Nicholas Bloom, John Van Reenen, and Heidi Williams present a number of the main innovation policy levers to energize technological innovation.
September 29, 2019
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Fact Sheets
Artificial intelligence (AI) refers to technologies that perform learning and reasoning in ways that simulate human cognitive abilities.
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Featured Article
This book analyzes the architecture of the internet, how it fosters innovation, and what that suggests for the future.
June 17, 2010
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