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.
Dr. Francis Collins, director of the National Institutes of Health, spotlights how MIT researchers have developed a new imaging technique that can “provide us with jaw-dropping views of a wide range of biological systems.” Collins writes that the new “imaging approach shows much promise as a complementary tool for biological exploration.”
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.”
Prof. Joi Ito, director of the Media Lab, writes for Wired about how AI systems can help perpetuate longstanding discriminatory practices. “By merely relying on historical data and current definitions of fairness, we will lock in the accumulated unfairnesses of the past,” argues Ito, “and our algorithms and the products they support will always trail the norms.”
Quartz reporter Jenny Anderson highlights Prof. Mitchel Resnick’s ideas for how to apply the kindergarten approach to learning to our entire educational system, in an effort to inspire lifelong learning. Anderson explains that Mitchel believes, “Kids should actively work on projects, which intersect with something they are passionate about, while working with peers in a playful environment.”
STAT reporter Casey Ross writes about how MIT researchers have developed a new ingestible Prof. Timothy Lu explains that he hopes that the sensor “opens up a really new window into how the gut and the rest of the body are connected, and hopefully provide new diagnostic strategies as well.”
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.
MIT researchers have found that the Rekognition facial recognition system has more difficulty identifying the gender of female and darker-skinned faces than similar services, reports Natasha Singer for The New York Times. Graduate student Joy Buolamwini said “the results of her studies raised fundamental questions for society about whether facial technology should not be used in certain situations,” writes Singer.
New Yorker contributor Caroline Lester writes about the Moral Machine, an online platform developed by MIT researchers to crowdsource public opinion on the ethical issues posed by autonomous vehicles.
Popular Mechanics reporter David Grossman writes that MIT researchers have developed a new imaging technique that allows entire neural circuits in the brain to be explored at speeds 1,000 times faster than currently available methods. The new technique could allow scientists to “spot where brain diseases originate or even the basics of how behavior works.”
MIT researchers have developed a new high-resolution technique to image the brain that could be used to create more precise maps of the brain and identify the causes of brain disease, reports Megan Thielking for STAT. “If we can figure out exactly where diseases begin,” explains Prof. Edward Boyden, “that could be pretty powerful.”
Writing for The Boston Globe, members of the Media Lab’s Scalable Cooperation research group argue that independent oversight is needed to ensure that new AI technologies are developed in an ethical manner. “AI is the new framework of our lives,” they write. “We need to ensure it’s a safe, human-positive framework, from top to bottom.”
Prof. Pattie Maes writes for Wired about how wearable medical technology is becoming an increasingly mainstream component of therapeutic intervention. “While we need to be careful to make sure these designs safeguard privacy, give complete control to the user and avoid dependency whenever possible,” writes Maes, “there are countless possibilities for digital, wearable technologies to supplement and even replace traditional drugs and therapy.”