Technology and society

Prof. Thomas Malone speaks with Poets & Quants for Executives reporter Alison Damast about the executive education course he teaches with Prof. Daniela Rus that aims to provide senior-level managers with a better sense of how AI works. “We are certainly not trying to teach people to understand the details of how to write AI programs, though some of those in the course may know that already,” Malone says. “What we are trying to do is give them a sense of when it is easy and when it is hard to use AI technology at various times for different kinds of business applications.”

Mashable reporter Adele Walton spotlights Joy Buolamwini PhD '22 and her work in uncovering racial bias in digital technology. “Buolamwini created what she called the Aspire Mirror, which used face-tracking software to register the movements of the user and overlay them onto an aspirational figure,” explains Walton. “When she realised the facial recognition wouldn’t detect her until she was holding a white mask over her face, she was confronted face on with what she termed the ‘coded gaze.’ She soon founded the Algorithmic Justice League, which exists to prevent AI harms and increase accountability.”

Writing for Fast Company, Senior Lecturer Guadalupe Hayes-Mota '08, SM '16, MBA '16 shares methods to address the influence of AI in healthcare. “Despite these advances [of AI in healthcare], the full spectrum of AI’s potential remains largely untapped,” explains Hayes-Mota. “Systemic hurdles such as data privacy concerns, the absence of standardized data protocols, regulatory complexities, and ethical dilemmas are compounded by an inherent resistance to change within the healthcare profession. These barriers underscore the urgent need for transformative action from all stakeholders to fully harness AI’s capabilities.”

A new study conducted by researchers at MIT and elsewhere has found large language models (LLMs) can be used to predict the future as well as humans can, reports Chris Stokel-Walker for Fast Company. “Accurate forecasting of future events is very important to many aspects of human economic activity, especially within white collar occupations, such as those of law, business and policy,” says postdoctoral fellow Peter S. Park.

Prof. Daniela Rus, director of CSAIL, speaks with The Economist’s Babbage podcast about the history and future of artificial neural networks and their role in large language models. “The early artificial neuron was a very simple mathematical model,” says Rus. “The computation was discrete and very simple, essentially a step function. You’re either above or below a value.”  

Prof. Philip Isola and Prof. Daniela Rus, director of CSAIL, speak with Associated Press reporter Matt O’Brien about AI generated images and videos. Rus says the computing resources required for AI video generation are “significantly higher than for still image generation” because “it involves processing and generating multiple frames for each second of video.”

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.