Accelerated research about generative AI
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
Faculty
SIMON JOHNSON is the Ronald A. Kurtz (1954) Professor of Entrepreneurship at the MIT Sloan School of Management, where he is head of the Global Economics and Management group. In 2007-08 he was chief economist at the International Monetary Fund, and he currently co-chairs the CFA Institute Systemic Risk Council. In February 2021, Johnson joined the board of directors of Fannie Mae.
Johnson’s most recent book, with Daron Acemoglu, Power and Progress: Our 1000-Year Struggle Over Technology and Prosperity, explores the history and economics of major technological transformations up to and including the latest developments in Artificial Intelligence.
His previous book, with Jonathan Gruber, Jump-Starting America: How Breakthrough Science Can Revive Economic Growth and the American Dream, explained how to create millions of good new jobs around the U.S., through renewed public investment in research and development. This proposal attracted bipartisan support.
Johnson was previously a senior fellow at the Peterson Institute for International Economics in Washington, D.C., a cofounder of BaselineScenario.com, a member of the Congressional Budget Office’s Panel of Economic Advisors, and a member of the Federal Deposit Insurance Corporation’s Systemic Resolution Advisory Committee. From July 2014 to early 2017, Johnson was a member of the Financial Research Advisory Committee of the U.S. Treasury’s Office of Financial Research (OFR), within which he chaired the Global Vulnerabilities Working Group.
“The Quiet Coup” received over a million views when it appeared in The Atlantic in early 2009. His book 13 Bankers: the Wall Street Takeover and the Next Financial Meltdown (with James Kwak), was an immediate bestseller and has become one of the mostly highly regarded books on the financial crisis. Their follow-up book on U.S. fiscal policy, White House Burning: The Founding Fathers, Our National Debt, and Why It Matters for You, won praise across the political spectrum. Johnson’s academic research papers on long-term economic development, corporate finance, political economy, and public health are widely cited.
“For his articulate and outspoken support for public policies to end too-big-to-fail”, Johnson was named a Main Street Hero by the Independent Community Bankers of America (ICBA) in 2013.
IMPORTANT: For any media or appointment requests to Professor Johnson please be sure to copy Michelle Fiorenza: fiorenza@mit.edu
Simon Johnson, Łukasz Rachel, and Catherine Wolfram. Journal of Comparative Economics. Forthcoming.
Capraro, Valerio, Austin Lentsch, and Daron Acemoglu et al., Working Paper. December 2023.
Johnson, Simon, Łukasz Rachel, and Catherine Wolfram. VoxEU, August 19, 2023.
Acemoglu, Daron and Simon Johnson. New York, NY: PublicAffairs/Hachette Book Group, 2023.
Gruber, Jonathan, Simon Johnson, Enrico Moretti. In Entrepreneurship and Innovation Policy and the Economy, edited by Benjamin Jones and Josh Lerner, 167-184. Chicago, IL: The University of Chicago Press, 2023. NBER Working Paper.
Wolfram, Catherine, Simon Johnson, and Łukasz Rachel. Harvard Kennedy School Belfer Center for Science and International Affairs, December 2022.
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
In new policy briefs, MIT researchers outline how to regulate large language models, label AI-generated content, and pursue “pro-worker AI.”
Machines are not necessarily good or bad. Whether they destroy or create jobs all depends on how we deploy them, and on who makes those choices.
"Banks should be required to have buffers of capital, so if they suffer some losses, it doesn't immediately become a solvency crisis."
I don't foresee a fiscal crisis from elevated defense spending. I worry about a national security crisis from a failure to defend your country.
"Companies must recognize that, in reality, labor is a critical resource for productivity growth."
This eight-week online program offers you the opportunity to explore macroeconomics from a business perspective, guided by renowned economist Professor Roberto Rigobon.
Over six weeks, you’ll explore the technical and strategic considerations for robust, beneficial, and responsible AI deployment. You’ll examine the various stages of a proprietary ML Deployment Framework and unlock new opportunities by investigating the key challenges and their related impact. Guided by leading experts and MIT academics, you’ll build a toolkit for addressing these challenges within your own organization and context.