Boston Globe reporter Hiawatha Bray writes about Technology Review’s EmTech Next conference, which examined how technology and AI will impact the future of work. Prof. David Mindell noted that while AI could impact the types of jobs available in the future, machines will always need human assistance. “When robots succeed,” said Mindell, “they’re never alone.”
Bloomberg’s Faye Flam discusses “Superminds,” a new book by Prof. Thomas Malone, and the impact of technology on human intelligence. “One take-home message in "Superminds" is that artificial intelligence is already here, and already changing the world,” writes Flam. “It's beside the point whether a robot with humanlike intelligence is still 20 years away."
In an effort to determine how different data impacts the view of AI, Media Lab researchers used gruesome images to train a system, which ultimately created a psychopathic AI, writes BBC reporter Jane Wakefield. "It highlights the idea that the data we use to train AI is reflected in the way the AI perceives the world and how it behaves," says Prof. Iyad Rahwan.
Prof. Patrick Winston is teaching a computer to read a truncated version of Macbeth in an effort to determine “how to build computer systems that can simulate the human mind’s unique powers of perception and insight,” writes Andy Rosen for The Boston Globe. Winston believes understanding stories is “a fundamental differentiating capability of us humans. And machines don’t have it yet.”
CSAIL researchers have developed a new system that could be used to train machines to complete tasks, writes Patrick Lucas Austin for Gizmodo. The researchers hope the system could eventually be used to, “teach robots how to accomplish tasks simply by showing them actual instructional videos,” Austin explains.
MIT researchers have created a system that aims to teach robots how to perform household chores by breaking down activities into simple steps, reports Sean Captain for Fast Company. Captain explains that in order to simplify each chore, the researchers, “identified sub-tasks to describe thousands of duties in settings such as kitchens, dining rooms, and home offices.”
Wired reporter Matt Simon writes that CSAIL researchers have developed a new virtual system that could eventually be used to teach robots how to perform household chores. Researchers hope the system could one day help robots, “learn to anticipate future actions and be able to change the environment for the human,” explains PhD student Xavier Puig.
MIT researchers have developed a virtual reality system that can train drones to fly faster while also avoiding obstacles, reports Lauren Barack for Salon. Barack explains that the “researchers are programming the drones so they think they're in a living room or bedroom while they fly. They virtually see obstacles around them, but those impediments aren't really there.”
Canadian prime minister Justin Trudeau stressed the importance of investing in artificial intelligence at the MIT Solve conference, reports the Associated Press. Trudeau noted that “leaders also have a responsibility to shape the rules and principles to guide the development of artificial intelligence.”
During remarks at the MIT Solve conference, Canada’s prime minister Justin Trudeau highlighted his country’s role in the future of AI. Trudeau believes Canada’s scientific accomplishments and cultural diversity will “ensure that AI systems will be programmed by teams with a broader understanding of human needs,” writes Hiawatha Bray for The Boston Globe.
MIT researchers are using virtual reality to train autonomous drones to fly in a variety of environments, writes Steven Melendez for Fast Company. Future tests may train the drone to fly safely around humans “as if they were in the same area, enabling it to practice sharing a space without actually endangering any human lives,” Melendez notes.
MapLite, a system developed by CSAIL researchers, allows autonomous vehicles to drive on roads they’ve never driven before without 3D maps, writes Andrew Hawkins of The Verge. If it becomes commercial, MapLite could ensure “that the safety benefits from autonomous driving [are] extended to residents in rural communities,” suggests Hawkins.
Joi Ito, director of the Media Lab, writes for Wired about the uses of AI in the criminal justice system, and why we should use such technologies to examine causes of systemic injustice. “We’re using algorithms as crystal balls to make predictions on behalf of society,” writes Ito, “when we should be using them as a mirror to examine ourselves and our social systems more critically.”
CSAIL researchers have developed a system that uses LIDAR and GPS to allow self-driving cars to navigate rural roads without detailed maps, writes Tracey Lindeman of Motherboard. Autonomous ride-hailing or car-sharing is important in rural communities because “the carless in these areas have few transportation options; many small communities don’t even have public buses,” notes Lindeman.
Eric Mack writes for Forbes about a new system from MIT researchers that uses GPS in conjunction with LIDAR and IMU sensors to power self-driving vehicle navigation. Graduate student Teddy Ort says the system “shows the potential of self-driving cars being able to actually handle roads beyond the small number that tech companies have mapped.”