Artificial intelligence

Prof. David Autor speaks with Kara Miller of GBH’s Innovation Hub about the impact of Covid-19 on the future of work.

R. David Edelman of MIT’s Internet Policy Research Initiative speaks with John Thornhill of the Financial Times’ TechTonic podcast about AI and the military.

Writing for the Financial Times, Andrew McAfee, a principal research scientist and co-founder of the MIT Initiative on the Digital Economy, examines how new proposals in the EU to regulate AI could hinder innovation. “Restricting the field of potential innovators to those who can afford high upfront costs is a bad idea,” writes McAfee. “It leads to slower progress and growth and fewer hometown success stories, which are also risks.”

Prof. Daron Acemoglu makes the case in a piece for The Washington Post that there should be oversight of how AI is applied, arguing that current AI technologies are already having tangible impacts on the labor market, the criminal justice system and on democratic discourse and politics. “Will AI be allowed to work increasingly to displace and monitor humans, or steered toward complementing and augmenting human capabilities,” Acemoglu writes, “creating new opportunities for workers?”

TechCrunch reporter Brian Heater writes about Inkbit, a CSAIL spinout, which is developing self-correcting 3D printing technology. “Its primary differentiator from the slew of existing 3D printers is a vision and AI system designed to identify and correct mistakes during the printing process,” writes Heater.

Researchers at MIT CSAIL have developed a robotic arm that can put a vest on a human. “The promise of such technology is clear: helping people with mobility issues perform tasks that many of us take for granted,” writes Brian Heater for TechCrunch.

Researchers at MIT have developed a robot that can slide a vest onto a human arm, “which is an early but important step in creating a robot that could completely dress an aging or disabled person,” writes Mark Wilson for Fast Company. “In this work, we focus on a planning technique,” explains PhD candidate Shen Li. “If I dress a kid or adult, they might have different reactions. So you have to predict what they’ll do.”

Graduate student Shashank Srikant speaks with The Economist about his work developing a new model that can detect computer bugs and vulnerabilities that have been maliciously inserted into computer code.

MIT researchers have developed a new robot that can help locate hidden items using AI and wireless technologies, reports Benoit Morenne for The Wall Street Journal. “The latest version of the robot has a 96% success rate at finding and picking up objects in a lab setting, including clothes and household items,” writes Morenne. “In the future, this home helper could also retrieve a specific wrench or screwdriver from a toolbox and assist a human in assembling a piece of furniture.”

Koch Institute fellow Dr. Rameen Shakur and his colleagues have developed a new computer tool that could allow doctors to personalize treatments for patients with inherited heart disease. “In areas such as cardiology and oncology, where large amounts of clinical and genetic data need to be analyzed, adopting a computer-based approach…can make diagnosis, outcome prediction and treatment more effective and efficient,” writes Helen Albert for Clinical OMICs.

MIT researchers have developed new programmable fibers that could help transform clothing into wearable computers, reports Kyle Mizokami for Popular Mechanics. “The polymer fibers contain hundreds of tiny silicon microchips that, once electrified, can sustain a digital connection across tens of meters,” Mizokami writes.

Forbes contributor Eric Tegler spotlights how MIT researchers are developing a fiber with digital capabilities. “Individuals wearing garments with digital fibers could be alerted to vital information about their physiology and environmental exposures, and share health/injury and location data with support forces,” Tegler explains.

Kate Darling, a research specialist at the Media Lab, speaks with Ira Flatow on Science Friday about “the historical lessons of our relationships with animals, and how they could inform our legal, ethical, and even emotional choices about robots and AI.”

Mashable spotlights Strolling Cities, a video project from the MIT-IBM Watson AI Lab, which uses AI to allow users to imagine what different words would like as a location. “Unlike other image-generating AI systems, Strolling Cities creates fictional cities every time,” Mashable notes.

UPI reporter Brooks Hays writes that researchers from MIT and other institutions have developed a programmable digital fiber that can capture, store and analyze data. The technology could “be paired with machine learning algorithms and used to make smart fabrics to record health data and aid medical diagnosis,” writes Hays.