Technology and society

Prof. Daniela Rus, director of CSAIL, speaks with Boston Globe reporter Evan Sellinger about her new book, “The Heart and the Chip: Our Bright Future With Robots,” in which she makes the case that in the future robots and humans will be able to team up to create a better world. “I want to highlight that machines don’t have to compete with humans, because we each have different strengths. Humans have wisdom. Machines have speed, can process large numbers, and can do many dull, dirty, and dangerous tasks,” Rus explains. “I see robots as helpers for our jobs. They’ll take on the routine, repetitive tasks, ensuring human workers focus on more complex and meaningful work.”

Prof. Stuart Madnick speaks with CNBC reporter Kevin Williams about how the rise of generative AI technologies could lead to cyberattacks on physical infrastructure. “If you cause a power plant to stop from a typical cyberattack, it will be back up and online pretty quickly,” Madnick explains, “but if hackers cause it to explode or burn down, you are not back online a day or two later; it will be weeks and months because a lot of the parts in these specialized systems are custom made.”

Prof. Charles Stewart III and Ben Adida PhD ’06 speak with Fast Company reporter Spenser Mestel about how to restore the public’s faith in voting technology. Adida discusses his work launching VotingWorks, a non-profit focused on building voting machines. VotingWorks is “unique among the legacy voting technology vendors," writes Mestel. “The group has disclosed everything, from its donors to the prices of its machines.”

David Zipper, Senior Fellow at the MIT Mobility Initiative, speaks with Washington Post reporter Trisha Thadani about the safety behind self-driving car companies, such as Google’s robotaxi service, Waymo.  Zipper says there is a disparity that “the companies are saying the technology is supposed to be a godsend for urban life, and it’s pretty striking that the leaders of these urban areas don’t really want them.”

Bridgit Mendler SM '20, PhD '24 has co-founded Northwood Space, a startup working to mass produce ground stations that connect to satellites in space, reports Michael Sheetz for CNBC. “The vision is a data highway between Earth and space,” says Mendler. “Space is getting easier along so many different dimensions but still the actual exercise of sending data to and from space is difficult. You have difficulty finding an access point for contacting your satellite.”

Researchers at MIT and elsewhere have estimated that the use of algorithms in public domains may provide “real value to the public while also saving the government money,” reports Kevin Lewis for The Boston Globe. The researchers suggest algorithms “that target workplace safety inspections, decide whether to refer patients for medical testing, and suggest whether to assign remedial coursework to college students,” have had similar impacts as those in public domains.

Writing for Financial Times, economist Ann Harrison spotlights research by Prof. Daron Acemoglu, Pascual Restrepo PhD '16 and Prof. David Autor, that explores the impact of automation on jobs in the United States. Acemoglu and Restrepo have “calculated that each additional robot in the US eliminates 3.3 workers” and that “most of the increase in inequality is due to workers who perform routine tasks being hit by automation,” writes Harrison.

Researchers from the MIT Self-Assembly Lab have developed a 4D-knit dress that uses “heat-activated yarn that allows its shape and fit to be altered in an instant,” reports Rima Sabina Aouf for Dezeen. Prof. Skylar Tibbits notes that by having “one dress that can be customized for fit and style, it can be perfectly tailored to the individual while being more sustainable and adaptable to changes in season, style or inventory.”

Prof. David Rand speaks with VOA News about the potential impact of adding watermarks to AI generated materials. “My concern is if you label as AI-generated, everything that’s AI-generated regardless of whether it’s misleading or not, people essentially are going to stop really paying attention to it,” says Rand.

Researchers at MIT and elsewhere have found that while AI systems could help doctors come to the right diagnosis more often, the diagnostic gains aren’t always distributed evenly, with more improvements tied to patients with lighter skin, report Daniel Payne, Erin Schumaker, and Ruth Reader for Politico. “AI could be a powerful tool to improve care and potentially offer providers a check on their blindspots," they write. "But that doesn’t mean AI will reduce bias. In fact, the study suggests, AI could cause greater disparities in care.”

Elemind Technologies, a neuro-tech startup founded by scientists from MIT and elsewhere, is developing, “an approach that redirects brain wave through non-invasive stimulation – using sound, light, touch and electric pulses –  to potentially address a range of neurological conditions in a more targeted ways than drugs,” reports Robert Weisman for The Boston Globe. 

Jared Sadoian ’10 speaks with Boston Globe reporter Kara Baskin about his work as director of operations for Cambridge Street Hospitality. “My day consists of email and spreadsheets, and budgeting and planning and analysis,” says Sadoian. “At the same time, it’s very firmly rooted in guest-facing hospitality that most readers might be more familiar with: talking to guests and taking reservations and making sure that folks are happy in the restaurants, and solving problems. Maybe it’s making a drink. This job is all-encompassing, and I love it for that reason, because I ran away from the office life.”

New York Times opinion writer Peter Coy spotlights the MIT Shaping the Future of Work Initiative, a new effort aimed at analyzing the forces that are eroding job quality for non-college workers and identifying ways to move the economy onto a more equitable trajectory. Nothing is “inexorable,” said Prof. Daron Acemoglu during the project’s kickoff event. “The answer in most cases is, AI will do whatever we choose it to do.”

Researchers from MIT and elsewhere have developed an AI model that is capable of identifying 3 ½ times more people who are at high-risk for developing pancreatic cancer than current standards, reports Felice J. Freyer for The Boston Globe. “This work has the potential to enlarge the group of pancreatic cancer patients who can benefit from screening from 10 percent to 35 percent,” explains Freyer. “The group hopes its model will eventually help detect risk of other hard-to-find cancers, like ovarian.”

Prof. Ron Weiss co-founded Strand Therapeutics, a biotech company developing mRNA therapies, reports Emily Mullin for Wired. “The notion is that genetic circuits can really have significant impact on safety and efficacy,” says Weiss. “This begins to really open up the door for creating therapies whose sophistication can match the underlying complexity of biology.”