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Innovation and Economic Growth

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.

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Harvard business professor Shane Greenstein discusses some of the factors that machine-learning startups consider in developing their innovative products for commercial value.
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.
In the latest issue of The Toulouse School of Economics Magazine, Stanford economist Susan Athey discusses how machine learning is transforming economics.
Josh Lerner, Harvard Business School, presents his recent research on intellectual property rights and innovation in China.
Rochester Institute of Technology philosophy professor Evan Selinger and his Future of Privacy Forum colleague Brenda K Leong argue that technology companies “should ensure their ethics boards are guided by universal human rights.”
Stanford economist Nicholas Bloom shares research from studies with three other colleagues about the slowing rate of productivity. He argues that “the productivity of science and discovery has been falling for decades.”
In an op-ed piece for The New York Times, Wharton School of Business professor Kevin Werbach shares his insights on why Facebook is entering the cryptocurrency business.
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.
Matthew Slaughter, Dean of 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 Economics of Artificial Intelligence: An Agenda, edited by Rotman School of Management professors Ajay Agrawal, Joshua Gans, and Avi Goldfarb, seeks to set the agenda for the economic research on the impact of AI.
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Fact Sheets

Artificial Intelligence

Artificial intelligence (AI) refers to technologies that perform learning and reasoning in ways that simulate human cognitive abilities.

Quote

Navigating Disruption: a Roadmap for Leaders

"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

Joshua Gans
Fast Company
July 25, 2019

Featured Article

Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics

Artificial intelligence (AI) is advancing rapidly, but productivity growth has been falling for a decade, and real income has stagnated. The most plausible explanation is that it will take considerable time for AI-related technologies to be deployed throughout the economy.

By: Erik Brynjolfsson, Chad Syverson, Daniel Rock