In this Reuters video, Jim Drury highlights how MIT researchers have developed an activity simulator that could one day help teach robots how to complete household chores. The simulator, VirtualHome, could train robots to “help the elderly or disabled in their homes,” Drury explains.
Prof. Iyad Rahwan speaks with New Scientist reporter Sean O’Neill about his work investigating the ethics of artificial intelligence. “I’m pushing for a negotiated social-contract approach,” explains Rahwan. “As a society we want to get along well, but to do it we need property rights, free speech, protection from violence and so on. We need to think about machine ethics in the same way.”
MIT Media Lab graduate student Artem Dementyev has created a palm-sized robot with suction-cup feet, known as SkinBot, which can crawl along the body, writes Douglas Heaven of New Scientist. The robot was designed to “carry out a medical inspection of a patient when there is no doctor nearby or when it would be too dangerous for a doctor to approach,” explains Heaven.
Forbes reporter Maribel Lopez writes about how researchers at the MIT-IBM Watson AI Lab are tackling a variety of AI challenges with real-world applications. Lopez notes that it’s great to see organizations like MIT and IBM coming together to “bridge the gap between science and practical AI solutions that can be used for both commercial and social good.”
Writing for Forbes, Joseph Coughlin, director of the MIT AgeLab, examines the increasing influence of AI in our lives. Coughlin concludes that in the absence of a human alternative, brief interactions could change our perception of an AI system from “a simple tool that ‘does stuff’ around the house, to a presence that is a real part of our social self.”
A Washington Post article by Prof. Erik Brynjolfsson and Research Affiliate Xiang Hui demonstrates how artificial intelligence is starting to have a positive impact on the U.S. economy by helping with such obstacles as lowering the language barrier to trade. Brynjolfsson and Hui explain that “human intelligence is needed to make sure it benefits the many, not just the few.”
Fortune reporters Aaron Pressman and Adam Lashinsky highlight graduate student Joy Buolamwini’s work aimed at eliminating bias in AI and machine learning systems. Pressman and Lashinsky note that Buolamwini believes that “who codes matters,” as more diverse teams of programmers could help prevent algorithmic bias.
CNBC reporter Catherine Clifford writes that MIT researchers have started a project to spotlight creative collaborations between humans and machines. Postdoctoral associate Pinar Yanardag explains that the project is aimed at showing the public that “we can work together with AI to achieve the most creative and productive outcomes.”
Principal Research Scientist Andrew McAfee speaks with BBC Radio’s David Grossman about the impact that artificial intelligence could have on various aspects of our lives. McAfee predicts that AI will reinvent, not replace capitalism, and that “even if things become very, very cheap because of technological progress that doesn’t strike away at the pillars of the capitalist system.”
MIT researchers have developed a model that can help detect depression by analyzing an individual’s speech patterns, reports Kaveh Waddell for Axios. Waddell explains that the researchers, “trained an AI system using 142 recorded conversations to assess whether a person is depressed and, if so, how severely.”
A study co-authored by MIT researchers finds that robots can develop prejudices against other robots not working on their team, writes John Biggs for TechCrunch. The researchers also found that, like humans, prejudices were reduced when there were “more distinct subpopulations being present within a population.”
MIT researchers have developed a new system that can detect depression by examining a patient’s speech and writing, reports John Biggs for TechCrunch. Biggs writes that the system could “help real therapists find and isolate issues automatically versus the long process of analysis. It’s a fascinating step forward in mental health.”
A study co-authored by Prof. Erik Brynjolfsson and graduate student Daniel Rock finds that specific tasks, not jobs, are likely to become automated, writes Joe McKendrick for Forbes. The researchers explain that, “machine learning technology can transform many jobs in the economy, but full automation will be less significant than the re-engineering of processes and the reorganization of tasks."
MIT researchers have developed a machine learning system that could reduce the number of chemotherapy and radiotherapy treatments that glioblastoma patients receive, reports the Xinhua News Agency. The system “finds an optimal treatment plan, with the lowest possible potency and frequency of doses that should still reduce tumor sizes,” Xinhua explains.
Writing for The New York Times, Prof. Sherry Turkle argues that machines will never be able to replace humans as compassionate companions. “Machines have not known the arc of a human life. They feel nothing of the human loss or love we describe to them,” writes Turkle. “Their conversations about life occupy the realm of the as-if.”