The holiday travel season is once again upon us! It's the magical time of the year that combines standing in airport security lines with incrementally losing your mind as the hands of your watch perpetually tick closer to a boarding time that somehow moved up 45 minutes since you left the house and the goober in front of you is, in the year of our lord 2022, still somehow confused about why we have to take our shoes off in security and, goddamit dude, stop arguing with the TSA and untie your laces already these tickets are nonrefundable. AI can help fix this. It can perhaps even give regular folks a taste of the effortless airport experience that more well-heeled travelers enjoy -- the private jet set who don't ever have to worry about departure times or security lines like the rest of us schmucks stuck flying Spirit. In their latest book POWER AND PREDICTION: The Disruptive Economics of Artificial Intelligence, University of Toronto economists and professors Ajay Agrawal, Joshua Gans and Avi Goldfarb examine the foundational impact that AI/ML systems have on human decision making as we increasingly rely on automation and big data predictions.

The holiday travel season is once again upon us! It's the magical time of the year that combines standing in airport security lines with incrementally losing your mind as the hands of your watch perpetually tick closer to a boarding time that magically moved up 45 minutes since you left the house and the goober in front of you is in the year of our lord 2022 still somehow confused about why we have to take our shoes off in security and goddamit dude stop arguing with the TSA and untie your laces already these tickets are nonrefundable. Ai can help fix this. It can perhaps even give regular folks a taste of the effortless airport experience that more well-heeled travelers enjoy -- the private jet set who don't ever have to worry about departure times or security lines like the rest of us schmucks stuck flying Spirit. In their latest book POWER AND PREDICTION: The Disruptive Economics of Artificial Intelligence, University of Toronto economists and professors Ajay Agrawal, Joshua Gans, and Avi Goldfarb examine the foundational impact that AI/ML systems have on human decision making as we increasingly rely on automation and big data predictions.

Named one of the "Top Ten Technology Books of 2018" by Peter High, Forbes.com "Compared with the amount of ink spilled over the prospects of artificial general intelligence and all its accompanying fears--the singularity!--there's "…a readily understandable guide to artificial intelligence and the immensely consequential effects it could have on our economy, our society and our political system." -- Robert E. Rubin, former U.S. Treasury secretary and co-chair Emeritus, Council on Foreign Relations This 2018 book…on the timely topic of AI - tops my summer reading list. "This is a timely book, well written, and accessible putting forward their insights, and is well worth reading." Lawrence H. Summers, Charles W. Eliot Professor, former president, Harvard University; former secretary, US Treasury; and former chief economist, World Bank-- "AI may transform your life.

With the blistering pace of digital disruption, competitive advantage can vanish in a flash. And large companies are getting killed off faster than anyone ever imagined. But of all the technologies that are driving disruption, artificial intelligence (AI) may be the most disruptive of all. All you have to do is type "artificial intelligence" into your search bar to see truckloads of hype about workforce disruption. This is an important conversation.

This 2018 book…on the timely topic of AI - tops my summer reading list. "This is a timely book, well written, and accessible putting forward their insights, and is well worth reading." Lawrence H. Summers, Charles W. Eliot Professor, former president, Harvard University; former secretary, US Treasury; and former chief economist, World Bank-- "AI may transform your life. And Prediction Machines will transform your understanding of AI. This is the best book yet on what may be the best technology that has come along."

Avi Goldfarb, a professor at the University of Toronto's Rotman School of Management, explains the economics of machine learning, a branch of artificial intelligence that makes predictions. He says as prediction gets cheaper and better, machines are going to be doing more of it. That means businesses -- and individual workers -- need to figure out how to take advantage of the technology to stay competitive. Goldfarb is the coauthor of the book Prediction Machines: The Simple Economics of Artificial Intelligence. CURT NICKISCH: Welcome to the HBR IdeaCast, from Harvard Business Review. YOUTUBE: [Two women speaking] We've got this all tabbed up? In it, three young English-speaking women use Google Translate to order food in Hindi from an Indian restaurant. They copy and paste their order in English into the computer, and it translates items like "samosas" and reads them aloud in the foreign language.