Diane Greene SM ’78, a life member of the MIT Corporation, speaks with Becky Quick of CNBC about the future of AI. Greene explains that companies can now combine data with computational power, so that an “algorithm can learn from the data. Once you start doing that you start getting insights you’ve never gotten before that can leapfrog what you’re able to do.”
President Rafael Reif and Stephen Schwarzman discuss the MIT Schwarzman College of Computing on Squawk Box. “We are integrating those computing and AI tools into all the disciplines we have, so every student here, no matter what he or she majors in, will be very comfortable using these new tools to practice their profession,” explains Reif.
Xconomy reporter Jeff Engel writes about the three-day celebration held for the new MIT Stephen A. Schwarzman College of Computing. Engel writes that during the event, Eric Schmidt, technical advisor for Alphabet, noted that the new college will help address the AI talent shortage. “The level of demand across everything is exploding in this field,” Schmidt explained.
CBS Boston highlights how research engineer Dane Kouttron has developed a snow blower that can be operated remotely. Kouttron explains that the idea behind the machine is to, “sit out with your cup of tea and remotely pilot your snow moving machine from the comfort of your own home.”
Prof. Tim Berners-Lee speaks with Wired reporter K.G. Orphanides about his startup Inrupt, which is aimed at transforming how we share personal data on the web. Orphanides explains that Berners-Lee’s idea is that, “instead of a company storing all your personal data on their servers, you would keep it on your own personal data ‘pod.’”
In an article for the Financial Times, President L. Rafael Reif calls for government investment in AI research, and educational offerings that integrate the study of AI into every discipline. “Those nations and institutions which act now to help shape the future of AI will help shape the future for us all,” writes Reif.
Graduate student Joy Buolamwini writes for TIME about the need to tackle gender and racial bias in AI systems. “By working to reduce the exclusion overhead and enabling marginalized communities to engage in the development and governance of AI, we can work toward creating systems that embrace full spectrum inclusion,” writes Buolamwini.
In an article for Fast Company about hackathons, Dan Formosa highlights how the Make the Breast Pump Not Suck Hackathon held at MIT was an inclusive event focused on addressing issues of bias, inequality and accessibility, noting how the organizers “went to extremes to assure diversity.”
National Geographic reporter Catherine Zuckerman spotlights the work of research scientist Felice Frankel, a photographer who captures images that are intended to captivate and inform viewers about complex scientific advances. Frankel explains that the goal of her new book is to help scientists “understand that beautiful images can engage the public.”
President Reif speaks with Gerry Baker of WSJ at Large about the impact of AI on the future of education and work. “Part of the goal of the [MIT Schwarzman] college is, as we educate people to use these [AI] tools, to educate them in a way that empowers human beings, not replaces human beings,” says Reif.
In an article for Axios, Prof. Carlo Rati writes about how developments in automated vehicles and smart infrastructure could be used to help make cities safer. “Developing technology for AVs to communicate with other vehicles as well as infrastructure like streets, traffic lights and road signs could both improve safety and decrease congestion,” writes Ratti.
Associated Press reporter Tali Arbel writes that MIT researchers have found that Amazon’s facial detection technology often misidentifies women and women with darker skin. Arbel writes that the study, “warns of the potential of abuse and threats to privacy and civil liberties from facial-detection technology.”
A new study by Media Lab researchers finds that Amazon’s Rekognition facial recognition system performed more accurately when identifying lighter-skinned faces, reports Drew Harrell for The Washington Post. The system “performed flawlessly in predicting the gender of lighter-skinned men,” writes Harrell, “but misidentified the gender of darker-skinned women in roughly 30 percent of their tests.”
Verge reporter James Vincent writes that Media Lab researchers have found that the facial recognition system Rekognition performed worse at identifying an individual’s gender if they were female or dark-skinned. In experiments, the researchers found that the system “mistook women for men 19 percent of the time and mistook darker-skinned women for men 31 percent of the time,” Vincent explains.
Boston Globe columnist Scott Kirsner highlights the RealityVirtually event that took place at MIT, bringing together nearly 450 people from 35 countries around the world to create new software for virtual and augmented reality headsets. Kirsner writes that the event “offered an incredible glimpse into the nascent medium’s potential and possibilities.”