Writing for Forbes, Prof. David Mindell explores the concept of using work, in particular the duties a home health aide performs, as a Turing test for the abilities of AI systems. “In this era of anxiety about AI technologies changing the nature of work,” writes Mindell, “everything we know about work should also change the nature of AI.”
Prof. Daniela Rus and R. David Eldeman, director of the Project on Technology, Economy, and National Security at MIT speak with Matt Simon at Wired about working with robots. “The robots have a fixed architecture and they have a fixed vocabulary,” explains Rus. “So, people will continue to have to learn that and understand what the tool is useful for.”
Provost Martin Schmidt and SHASS Dean Melissa Nobles speak with Wall Street Journal reporter Sara Castellanos about MIT’s efforts to advance the study of AI and its ethical and societal implications through the MIT Stephen A. Schwarzman College of Computing. Schmidt says this work “requires a deep partnership between the technologists and the humanists.”
Prof. Erik Brynjolfsson speaks with Gizmodo reporter Brian Merchant about the 2018 AI Index report, which examines trends in the field of AI. Brynjolfsson says that when it comes to the impact of automation on the labor market, “developing countries are likely to be the hardest hit—they are the ones that depend most on low wages to compete in manufacturing.”
Boston Globe reporter Jessie Scanlon spotlights Prof. Regina Barzilay’s work developing machine learning systems that can identify patients at risk of developing breast cancer. Barzilay is creating “software that aims to teach a computer to analyze mammogram images more effectively than the human eye can and to catch signs of cancer in its earliest phases.”
Prof. Aleksander Madry and graduate student Anish Athalye speak with BBC News reporter Linda Geddes about how AI systems can be tricked into seeing or hearing things that aren’t actually there. “People are looking at it as a potential security issue as these systems are increasingly being deployed in the real world,” Athalye explains.
Gizmodo reporter Jennings Brown writes that researchers from the MIT Media Lab are developing a machine learning system that can develop addresses for regions of the planet that don’t have a recognized address system. Brown explains that the researchers “compared their results to an unmapped suburban region and found that their system labeled more than 80 percent of the populated portions.”
CSAIL researchers have developed a new technique to recreate paintings from a single photograph, reports John Biggs for TechCrunch. “The project uses machine learning to recreate the exact colors of each painting and then prints it using a high-end 3D printer that can output thousands of colors using half-toning,” Biggs explains.
Forbes contributed Jennifer Kite-Powell writes about a system, called RePaint, developed by MIT researchers that uses AI and 3-D printing to replicate paintings. "We can picture RePaint being applied to restoration practice and education in museums so that greater numbers of people could be exposed to famous pieces of art beyond just the specific museums that house them," explains CSAIL mechanical engineer Mike Foshey.
Fast Company reporter Jesus Diaz writes that CSAIL researchers have developed a new technique to replicate works of art. Diaz explains that the system “uses a combination of 10 different transparent inks, placed by a 3D printer and governed by a complex AI system that decides how to layer and mix those inks to match a painting’s original colors.”
BBC News reporter David Robson writes that MIT researchers have devised a simple test to help determine whether you are communicating with a chatbot or a human. Robson writes that the findings suggest “knowingly flouting a taboo and provoking, rather than simply describing, an emotion might be the most straightforward way of conveying your shared humanity.”
Speaking with Mark Jannot of The New York Times Magazine, Prof. Regina Barzilay explores how A.I. could be used to predict risk of certain diseases. “Imagine how it can change the game if these diseases, which are now diagnosed late, when they are largely uncurable, could be detected early — how many lives can be saved,” says Barzilay.
Chronicle highlights MIT startup Spyce, a restaurant with a robotic kitchen. At Spyce, the flames used to heat a wok “are replaced with induction metal,” explains Erika Tarantal. “The robot-controlled rotation ensures cooking on all sides.”
Writing for The Conversation, Prof. Tauhid Zaman discusses his research showing how a small number of very active social media bots can have a significant impact on public opinion. Zaman notes that his findings are “a reminder to be careful about what you read – and what you believe – on social media.”
Smithsonian reporter Randy Rieland writes that MIT researchers have developed a machine learning model that can detect speech and language patterns associated with depression. The researchers note that the system is intended to assist, not replace clinicians. “We’re hopeful we can provide a complementary form of analysis,” explains Senior Research Scientist James Glass.