Artificial intelligence

Media Lab researcher Joy Buolamwini writes for The Atlantic about the dangers posed by government agencies adopting the use of facial recognition technology. “No biometric technologies should be adopted by the government to police access to services or benefits,” writes Buolamwini, “certainly not without cautious consideration of the dangers they pose, due diligence in outside testing, and the consent of those exposed to potential abuse, data exploitation, and other harms that affect us all.”

Scientists have discovered “X-particles” in the aftermath of collisions produced in the Large Hadron Collider, which could shed light on the structure of these elusive particles, reports Becky Ferreira for Vice. “X particles can yield broader insights about the type of environment that existed in those searing and turbulent moments after the Big Bang,” writes Ferreira.

PBS Gzero World host Ian Bremmer spotlights “The Age of AI And Our Human Future,” a new book written by Schwarzman College of Computing Dean Daniel Huttenlocher, former Google CEO Eric Schmidt, and Former Secretary of State Henry Kissinger that explores how humanity can learn to coexist with artificial intelligence. “The conclusion in our book is that the only way to sort these issues out is to widen the discussion aperture,” says Schmidt. 

Forbes reporter Richard Kestenbaum spotlights “The Age of AI And Our Human Future,” a new book written by Schwarzman College of Computing Dean Daniel Huttenlocher, former Google CEO Eric Schmidt, and Former Secretary of State Henry Kissinger that explores how software is creating a new reality for us. In the book, Huttenlocher, Schmidt, and Kissinger note that “now is the time to establish guidelines for how AI will act and what its north star will be,” writes Kestenbaum.

A new study by MIT researchers finds people are more likely to interact with a smart device if it demonstrates more humanlike attributes, reports Brian Heater for TechCrunch. The researchers found “users are more likely to engage with both the device — and each other — more when it exhibits some form of social cues,” writes Heater. “That can mean something as simple as the face/screen of the device rotating to meet the speaker’s gaze.”

STAT reporters Katie Palmer and Casey Ross spotlight how Prof. Regina Barzilay has developed an AI tool called Mirai that can identify early signs of breast cancer from mammograms. “Mirai’s predictions were rolled into a screening tool called Tempo, which resulted in earlier detection compared to a standard annual screening,” writes Palmer and Ross.

In an article for The Wall Street Journal about next generation technologies that can create and quantify personal health data, Laura Cooper spotlights Prof. Dina Katabi’s work developing a noninvasive device that sits in a person’s home and can help track breathing, heart rate, movement, gait, time in bed and the length and quality of sleep. The device “could be used in the homes of seniors and others to help detect early signs of serious medical conditions, and as an alternative to wearables,” writes Cooper.

IEEE Spectrum reporter Prachi Patel writes that researchers from MIT and Google Brain have developed a new open-source tool that could streamline solar cell improvement and discovery. The new system should “speed up development of more efficient solar cells by allowing quick assessment of a wide variety of possible materials and device structures,” writes Patel.

Prof. Regina Barzilay speaks with Good Morning America about her work developing a new AI tool that could “revolutionize early breast cancer detection” by identifying patients at high risk of developing the disease. “If this technology is used in a uniform way,” says Barzilay, “we can identify early who are high-risk patients and intervene.”

Washington Post reporter Steve Zeitchik spotlights Prof. Regina Barzilay and graduate student Adam Yala’s work developing a new AI system, called Mirai, that could transform how breast cancer is diagnosed, “an innovation that could seriously disrupt how we think about the disease.” Zeitchik writes: “Mirai could transform how mammograms are used, open up a whole new world of testing and prevention, allow patients to avoid aggressive treatments and even save the lives of countless people who get breast cancer.”

STAT reporter Katie Palmer writes that MIT researchers have developed a new machine learning model that can "flag treatments for sepsis patients that are likely to lead to a ‘medical dead-end,/ the point after which a patient will die no matter what care is provided.”

Wise Systems, an AI-based delivery management platform originating from MIT’s Media Lab, has applied machine learning to real-time data to better plan delivery routes and schedules for delivery drivers, reports Susan Galer for Forbes. “The system can more accurately predict service times, taking into account the time it takes to complete a stop, and factoring in the preferences of the retailer, hotel, medical institution, or other type of client,” says Allison Parker of Wise Systems.

Ikigai, an MIT startup, is building automated workflows where human decision making will be a part of the process, reports Ron Miller for Tech Crunch. “What we saw is that there are use cases… [that involve] manual processes in the organizations that were extremely difficult to automate because a fundamental step involved humans making judgements or decisions with data, and where both the data and rules they’re operating on would change very often,” co-founder and CEO Vinayak Ramesh M.Eng ‘18, ‘12 tells Miller.

Air & Space Forces Magazine reporter Amanda Miller spotlights the Department of Air Force-MIT AI Accelerator, which is focused on furthering the science of AI. Thanks to such a close connection with “a world-class academic institution,” said Col. Tucker Hamilton, “we’re making advancements revolutionary to the entire field—the entire world.”

Writing for The Wall Street Journal, Prof. Kate Kellogg explores how managers can more effectively help their employees transition to using new technologies. “Managers need to realize that introducing emerging technologies such as artificial intelligence, data analytics and robotics aren’t straightforward,” writes Kellogg. “Managers who hope to successfully implement these technologies need to focus on issues of employee status and roles, and the amount of new work that will need to be done.”