An interview with Daron Acemoglu on artificial intelligence, institutions, and the future of work

The recipient of the 2018 Jean-Jacques Laffont prize, Daron Acemoglu, is the Elizabeth and James Killian Professor of Economics at the Massachusetts Institute of Technology. The Turkish-American economist has been extensively published for his research on political economy, development, and labour economics, and has won multiple awards for his two books, Economic Origins of Dictatorship … Continue reading An interview with Daron Acemoglu on artificial intelligence, institutions, and the future of work

AI: How are companies preparing?

The article "Why Are We Paying Different Prices? Hint: Artificial Intelligence is Learning What You’re Willing to Pay" published on LinkedIn by Ted Gaubert, discusses how the progress of Artificial Intelligence (AI) pricing engines are allowing them to influence the functioning of markets. AI is defined as the ability of machines to mimic human behaviour … Continue reading AI: How are companies preparing?

Intelligent Infrastructure: The Future of AI

“It is not enough to build an AI [Artificial Intelligence] system that makes a robot work across the screen, do computer vision problem or beat someone in chess contest. We have to work on these things like good engineers do, to solve problems,”  Michael I. Jordan (Professor in Electrical Engineering and Computer Sciences at University of … Continue reading Intelligent Infrastructure: The Future of AI

Machine Learning, Causal Inference, and Normative Judgment

Scholars and judges have long made arguments about laws and regulations and justified their arguments with theories about the effects of these legal rules. What empirical law and economics scholars like to do is to evaluate these claims with data. Now a particularly challenging dimension of studying the effects of rules and regulations is that … Continue reading Machine Learning, Causal Inference, and Normative Judgment