Researchers at MIT developed a system that uses artificial intelligence to help predict future risk of developing breast cancer, reports Poppy Harlow for CNN. What this work does “is identifies risk. It can tell a woman that you’re at high risk for developing breast cancer before you develop breast cancer,” says Larry Norton, medical director of the Lauder Breast Center at the Memorial Sloan Kettering Cancer Center.
Writing for Fast Company, Visiting Scientist Priya Donti examines how “scientists are increasingly looking to AI to help us predict the weather, and some of the most promising approaches come from blending AI with existing scientific knowledge.” Donti notes that a “combination of innovative technology and human wisdom is the best way to harness AI to help us tackle the challenges of the future, especially climate change.”
Joy Buolamwini PhD ’22 has been named one of Diverse: Issues in Higher Education’s Top Women for 2023 for her work in developing “more equitable and accountable technology.” Buolamwini “uncovered racial and gender bias in AI services from high profile companies such as Microsoft, IBM and Amazon. Now a sought-after international speaker, Buolamwini continues to advocate for algorithmic justice,” writes Diverse: Issues in Higher Education.
Dean Daniel Huttenlocher joins CNBC’s “Squawk on the Street” to discuss the current state of AI and how generative AI advances could impact our future. “These recent advances in generative AI technology really do represent a completely different capability in computing than anything we have experienced,” says Huttenlocher. “This is the first tech that can create humanlike expression.”
Writing for The Wall Street Journal, Dean Daniel Huttenlocher, former Secretary of State Henry Kissinger and former Google CEO Eric Schmidt explore how generative artificial intelligence “presents a philosophical and practical challenge on a scale not experienced since the beginning of the Enlightenment.” Huttenlocher, Kissinger and Schmidt make the case that “parameters for AI’s responsible use need to be established, with variation based on the type of technology and the context of deployment.”
Graduate student Ziv Epstein speaks with Vice reporter Rachel Cheung about the legal implications of the development and use of AI tools being used to create art. “We need more both technical and social research, understanding how these things work, how people feel about them, and then we can make those decisions based on good science,” Epstein said. “Because right now, we’re just really at the brink of the beginning.”
MIT researchers have constructed a mini city to test to safely test algorithms designed for autonomous vehicles, reports Mashable. “The idea of the mini city is that we have lots of cars going at the same time and we can actually test out new algorithms in a safe environment,” says graduate student Noam Buckman.
Prof. David Autor speaks with Tony Dokoupil of CBS News about how the rise of artificial intelligence could change the quality of jobs. "What we've seen over the last four decades in the U.S. and many industrialized economies is what economists call labor market polarization, which means the hollowing out of the middle set of jobs,” says Autor. The "hollowing out" of the middle has led to some in the labor market moving up and making more money, while others are now making less — and "that's especially where the pain happens," Autor adds.
Washington Post reporter Michael Andor Brodeur spotlights Prof. Tod Machover’s work exploring the concepts and techniques needed to advance the future of music, including using AI to help “exponentially increase access to music and creative tools for making it.” Machover explains that to him “pieces of music aren’t just pieces of sound. They’re because some human being thought something was important to communicate and express.”
Prof. David Autor speaks with ABC News reporter Max Zahn about whether new AI technologies could displace workers. "The thing we shouldn't be worried about at present or for quite a while is the quantity of jobs," said Autor. "We should be worried about the quality of jobs."
Boston Globe reporter Aaron Pressman spotlights several MIT startups that are using AI to generate 3-D environments. Common Sense Machines, an MIT startup, is “trying to enhance the creativity of its app by adding a bit of, well, common sense,” writes Pressman. “Human babies form an understanding of the world by developing abstract models. Common Sense Machines is trying to add similar models to its 3D world builder.”
Researchers at MIT have developed a drone that can be controlled using hand gestures, reports Mashable. “I think it’s important to think carefully about how machine learning and robotics can help people to have a higher quality of life and be more productive,” says postdoc Joseph DelPreto. “So we want to combine what robots do well and what people do well so that they can be more effective teams.”
Motherboard reporter Tatyana Woodall writes that a new study co-authored by MIT researchers finds that AI models that can learn to perform new tasks from just a few examples create smaller models inside themselves to achieve these new tasks. “Learning is entangled with [existing] knowledge,” graduate student Ekin Akyürek explains. “We show that it is possible for these models to learn from examples on the fly without any parameter update we apply to the model.”
Researchers at MIT and Massachusetts General Hospital have developed “Sybil” – an artificial intelligence tool that can predict the risk of a patient developing lung cancer within six years, reports Mallika Marshall for CBS Boston.
CSAIL researchers are developing a drone that could be used to assist humans in search and rescue operations, reports Mashable. “If you are trying to detect someone in an avalanche and you can maybe just send a drone, and if they can find them out and then fly towards them and send a help signal. It would be probably be something that would be beneficial to people as an immediate application.”