As schools reopen, some are keeping all-virtual options

Teaching to the middle has historically been the approach taken by many schools nationwide, where a one-size-fits-all model is the norm and students must figure out how to fit in or fail. When COVID-19 hit and schools quickly pivoted to distance learning, challenges and disparities—many already present but ignored—were revealed for teachers, parents, and students. Yet, as the pandemic raged on, some students actually thrived in this at-home learning environment. Who are these students, and why are they flourishing? What can we learn from them? One lesson is that many students experience stress due to daily instances of racism. This occurs especially when they do not feel a strong sense of belonging in their school setting, which  research  shows can lead to reduced academic confidence and performance. Taking classes online eased some of the pressure that students, including Black, immigrant and indigenous kids, felt to  assimilate in classrooms  and schools. Distance learning has also benefited students who may struggle with anxiety, are uncomfortable with social interactions, have learning differences, or are bullied in school. Presenting material in various formats remotely can allow more students to access information they need to fully participate in class, and the flexibility to learn on their own can give students with unique interests time to explore their passions in the arts, writing and other endeavors, while empowering them to choose how to best schedule their work. Two key principles of learning highlighted in  The End of Average by Todd Rose, former Harvard professor and cofounder of the  Populace think tank, are at the core of what’s happening. First, the concept of variability, which states that every learner varies across many dimensions—executive function, emotional regulation, primary language, and mental health among them. Nobody is average across every dimension, and these differences impact how we learn best. The Learner Variability Project  at Digital Promise has mapped these dimensions of variability so that educators, school system leaders and product developers can understand and design for them. The second principle is that context impacts learning—how a learner learns best can change based on what the subject is. For example, a child who practices hard to get better at soccer or music has a growth mindset, but that same child can have a fixed mindset when it comes to math, not believing there is any point to trying to improve through hard work. It’s the same child with the same abilities, but changing the context alters how that child thinks and learns. As students and teachers return to school buildings, they need not boomerang back to the traditional, one-size-fits-all environment, where everyone is expected to learn the same content, the same way, at the same time, in the same context. Instead, they should strive to better understand  the “why” behind a student’s behavior , and to design practice and contexts around each learner’s variability, whether in school or online Read More …

The U.S. is alarmingly close to an autonomous weapons arms race

One of the Pentagon’s primary jobs is anticipating what the wars of the future will look like so that it can allocate the resources necessary to make sure the U.S. has the edge in those battles. When people in the defense industry talk about the tools of future war, they usually mention applications of AI, autonomous weaponry, and a very different role for warm-blooded human beings during battle. These technologies are in their early stages of maturity; defense forces don’t yet understand the best ways to deploy them in battle. Military leaders in other wealthy countries, including China and Russia , are also talking about such matters, though we don’t know where they’re placing their bets. For a number of reasons—some old, some new—the U.S. could easily get pulled into a race to develop and use autonomous weapons before it understands how to use them predictably, effectively, and ethically. Cold War 2.o We may enter a period of escalation that recalls the nuclear arms race between the U.S. and the former Soviet Union during the Cold War. “There’s an AI arms race where I’m worried about your development of this technology and you’re worried about my development of this technology, and neither of us communicates that we’re aware of the limitations,” said Chris Meserole, director of research and policy for the Artificial Intelligence and Emerging Technology Initiative at the Brookings Institution. Read More …

Why Amazon’s $8.5 billion acquisition of MGM should be blocked

In Tuesday’s announcement of Amazon’s $8.5 billion acquisition of MGM—the historic film studio behind the Rocky , Legally Blonde , and James Bond  franchises—Mike Hopkins, senior vice president of Prime Video and Amazon Studios, naturally dropped two major Hollywood buzzwords.   “The real financial value behind this deal,” Hopkins said, “is the treasure trove of” —ding-ding-ding— “ IP in the deep catalog that we plan to reimagine and develop together with MGM’s talented team. It’s very exciting and provides so many opportunities for high-quality” —ding-ding-ding— “ storytelling .” Yes, in the latest proposed media merger, intellectual property will be married with innovative storytelling to create a company like no other. This has never been done before . . . if you don’t count Disney, Comcast, Sony, ViacomCBS, or the 10-day-old prospective merger of Warner-Discovery. Indeed, just as Marvel and Star Wars spin-off TV shows now populate Disney Plus, prepare yourself for a Rocky -themed reality-TV show (with real boxers!) and as many Bond prequels as Barbara Broccoli and Michael G. Wilson (the highly protective producers of the franchise) will allow for, to roll out on Amazon Prime Video.   What is more worrisome, though, is the even greater monopolistic foothold that this deal gives one of the world’s richest and most powerful companies, one whose market cap is not in the billions but trillions. Now, beyond just selling its own products, like baby oils, in its own marketplace and thus edging out smaller, independent businesses, Amazon will be doing the same thing with movies and TV shows at a scale of 10 times what it’s currently been doing in entertainment. Read More …

Google Ventures-backed Merlin Labs is building AI that can fly planes

Merlin Labs, which develops autonomous systems that fly airplanes, has emerged from stealth with $25 million in funding from Google Ventures and others. The company says it wants to be the “the definitive autonomy platform for things that fly.” Merlin announced Wednesday it signed a deal to outfit 55 twin-turboprop King Air planes owned by Dynamic Aviation with AI flight systems. The startup also has a contract with the Air Force to develop autonomous transport planes. Boston-based Merlin Labs, which currently has roughly 50 employees (including full-time contractors), has a dedicated flight facility at the Mojave Air & Space Port where it’s been testing its AI platform. The system has already piloted hundreds of unmanned test flights from takeoff to touchdown, Merlin’s co-founder and CEO Matthew George tells me. [Photo: Merlin Labs] The first Dynamic Aviation King Air to be outfitted with a Merlin Labs AI system is now doing test flights in the Mojave. Eventually, the AI-enabled King Airs will do flights that are too “dull, dirty, or dangerous” for human pilots, George says. Currently, Dynamic Aviation uses humans for flying fire surveillance missions, transporting goods, and patrolling far out over the ocean, but it hopes Merlin’s AI will be able to ultimately take over the cockpit. Dynamic Aviation offers these flights as a service to customers that include federal defense and intelligence agencies, state and local governments, and private companies. Merlin’s AI will have to get clearance from the Federal Aviation Administration (FAA) before Dynamic’s King Airs can go pilotless. George says his company has been working closely with the regulator to get its AI flight system certified as safe. But the FAA currently does not have a certification for autonomous systems that fly fixed-wing aircraft (the only aviation regulator in the world that does is in New Zealand). The agency is working on the requirements of the certification now, George says. Read More …

Google Ventures-backed Merlin Labs is building AI that can fly planes

Merlin Labs, which develops autonomous systems that fly airplanes, has emerged from stealth with $25 million in funding from Google Ventures and others. The company says it wants to be the “the definitive autonomy platform for things that fly.” Merlin announced Wednesday it signed a deal to outfit 55 twin-turboprop King Air planes owned by Dynamic Aviation with AI flight systems. The startup also has a contract with the Air Force to develop autonomous transport planes. Boston-based Merlin Labs, which currently has roughly 50 employees (including full-time contractors), has a dedicated flight facility at the Mojave Air & Space Port where it’s been testing its AI platform. The system has already piloted hundreds of unmanned test flights from takeoff to touchdown, Merlin’s co-founder and CEO Matthew George tells me. [Photo: Merlin Labs] The first Dynamic Aviation King Air to be outfitted with a Merlin Labs AI system is now doing test flights in the Mojave. Eventually, the AI-enabled King Airs will do flights that are too “dull, dirty, or dangerous” for human pilots, George says. Currently, Dynamic Aviation uses humans for flying fire surveillance missions, transporting goods, and patrolling far out over the ocean, but it hopes Merlin’s AI will be able to ultimately take over the cockpit. Dynamic Aviation offers these flights as a service to customers that include federal defense and intelligence agencies, state and local governments, and private companies. Read More …