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Economics professors Daron Acemoglu, MIT, and Pascual Restrepo, BU, explain why the US and many industrialized countries are seeing rising wage inequality go hand in hand with modest productivity gains.

Can we observe whether artificial intelligence is destroying jobs, by, for instance, replacing humans for some tasks, or creating jobs, perhaps by increasing productivity as it provides humans with the tools to do more tasks? MIT economist Daron Acemoglu summarizes research that he has conducted with his colleagues to answer this question.

In an article written for Boston Review, MIT economics professor Daron Acemoglu examines the current impact of AI technologies and automation on the economy, society, and democracies; and provides a course of action for redirecting “AI research toward a more productive path.”

MIT Professor Daron Acemoglu examines data sharing; he looks at both the potential benefits that come from predictive big data approaches as well as the negative effects of data transactions.

Economists Susan Athey, Stanford, and Daron Acemoglu, MIT, will be testifying at today’s House Budget Committee hearing on artificial intelligence and the workforce.

MIT economics professor Daron Acemoglu discusses the policies in place that support companies’ choices to increase automation, and he outlines a course of action for policy reforms and technology development that could benefit workers of all skills and backgrounds.

Daron Acemoglu, MIT, and Pascual Restrepo, Boston University, argue that AI can be the basis of two types of technological progress: automation and enhancement; and they show that “there is scope for public policy to ensure that resources are allocated optimally between the two in order to ensure fulfillment of AI’s potential for growth, employment, and prosperity.”

MIT economist Daron Acemoglu provides a conceptual framework that sheds light on why past episodes of technologies replacing labor in a range of tasks did not lead to technological unemployment.

MIT economist Daron Acemoglu proposes a new conceptual framework, raising the theoretical possibility that rapid automation need not signal the demise of labor.

An interview with MIT economist Daron Acemoglu discusses his recent research that examines the impact of robotics and AI on the labor market and economic growth.