President Reif spoke with Abraham González of El Financiero about the rapid advance of technology. “Machine learning will not replace us, on the contrary, it will help us. Just as computers help us get the job done today and just as cars help us get from one place to another,” explains Reif.
A new paper co-authored by Prof. Daron Acemoglu examines the impact of automation on the U.S. job market, according to The Economist. The researchers found that “between 1990 and 2007, each industrial robot added per thousand workers reduced employment in America by nearly six workers.”
A study co-written by Prof. Daron Acemoglu examines the impact of autonomous robots on local labor markets, writes Gillian White for The Atlantic. “While the findings might seem grim for workers, the authors note that just because an industry can automate doesn’t mean that it will,” concludes White.
Claire Cain Miller writes for The New York Times about a study by Prof. Daron Acemoglu that shows how robots are impacting the American job market. “The conclusion is that even if overall employment and wages recover, there will be losers in the process, and it’s going to take a very long time for these communities to recover,” says Acemoglu.
A study co-authored by Prof. Daron Acemoglu finds that every new robot added to American factories reduced employment in the surrounding areas, reports Cora Lewis for CNBC. According to the study, the areas experiencing major decline were “routine manual occupations, blue-collar workers, operators and assembly workers, and machinists and transport workers.”
A study by MIT researchers finds that robots have negatively impacted American employment and wages, reports Andrew Soergel for U.S. News & World Report. After accounting for enhancements in productivity and growth in other sectors, researchers found that “automation's rise isn't entirely a bad thing for the labor market,” explains Soergel.
Patrick Gillespie of CNN highlights the work of Professors Daron Acemoglu and David Autor in a piece about how automation is responsible for more job losses than trade. Acemoglu explains that by preventing trade now, “some of that production might come back, but the employment that comes back will not be for people, it will be for robots."
MIT researchers are studying the possibility of developing autonomous boats and floating vessels, writes Stephanie Mlot in a Fox News article. The research, which is being conducted in collaboration with the Amsterdam Institute for Advanced Metropolitan Solutions, “aims to serve as an inspiration for urban areas around the globe.”
Researchers from MIT and the Amsterdam Institute for Advanced Metropolitan Solutions are exploring the possibility of self-driving boats. “Imagine a fleet of autonomous boats for the transportation of goods and people,” says Prof. Carlo Ratti. “Also think of dynamic and temporary floating infrastructure like on-demand bridges and stages.”
Prof. Jonathan How speaks with Boston Globe reporter Steve Annear about how researchers from MIT and Ford are collaborating on a new project aimed at better understanding vehicle mobility and demand in dense urban areas. The project will allow researchers to “investigate new planning and prediction algorithms in a complex, but controlled, environment,” explains How.
Researchers from MIT and Ford are collaborating on a new project to measure pedestrian traffic and predict the need for on-demand shuttle services, reports Kirsten Korosec for Fortune. The researchers hope to use the data they collect to predict demand for shuttles, and then "routing those vehicles to areas where they’re needed most at the corresponding times.”
CNN reporter Sara Ashley O’Brien writes that CSAIL researchers have demonstrated that a robot could help schedule tasks in a hospital’s labor and delivery unit. The researchers trained a robot to understand a nurse’s scheduling decisions and “90% of the time the Nao robot made suggestions that doctors and nurses carried out.”
In a Wall Street Journal series examining the roots of America’s current economic disillusionment and how it is impacting the presidential election, Jon Hilsenrath and Bob Davis highlight Prof. Erik Brynjolfsson and Research Scientist Andrew McAfee’s work examining how technology impacts jobs, and Prof. David Autor’s research on how trade with China has affected the U.S. labor market.
Prof. David Autor spoke with The Economist about the impact of artificial intelligence and automation on jobs. “This notion that there’s only a finite amount of work to do, and therefore that if you automate some of it there’s less for people to do, is just totally wrong,” he says.
In an article for Slate, Madeleine Clare Elish highlights a study by Prof. Frank Levy that found that only certain tasks in the field of law could be automated. Levy and his colleagues found that “dramatic impacts are unlikely due to technical limitations of machine intelligence as well as social expectations of a lawyer’s value.”