This week, U.S. Senators Martin Heinrich (D-N.M.) and Rob Portman (R-Ohio), co-founders of the Senate Artificial Intelligence Caucus, unveiled the Artificial Intelligence Initiative Act (AI-IA). The act aims to organize a coordinated national strategy to accelerate AI deployments in government agencies, academia, and the private sector over the next 10 years. It will also see the federal government provide $2.2 billion USD in investments.
As AI algorithms such as Siri and Amazon Alexa can process your voice and output helpful responses, other AIs like Face++ can recognize faces. And yet others create art from scribbles, or even diagnose medical conditions.
A Mayo clinic study found that only 12 percent of second opinions from the clinic agreed with the original diagnosis. Some of these mistakes are because clinicians are overworked and have limited time to really study particular cases. But some of these mistakes stem from the fact that health care is so complicated. As Topol notes, there are over 10,000 different diseases and not even the best doctor “who could recall a fraction of them.” This is where AI could come in.
Artificial intelligence (AI) is able to capture, aggregate, and analyze data from several different sources to build a student learning profile. In the past, the only way to measure what students have learned was through tests, written and oral exams and assignments. However, these methods ignore much of what a student has assimilated over the years.
If technology is advancing crazy fast, why aren’t those advances showing up in the broader productivity and economic growth numbers? Or as economists Erik Brynjolfsson, Daniel Rock, and Chad Syverson describe this mystery in their 2017 paper “Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics:”
The trepidation surrounding artificial intelligence and machine learning hasn’t subsided. Many educators wonder how possible is it that machine learning could replace the tasks and jobs we’ve trained for, leaving many without employment? What happens when artificial intelligence takes over? The answer is that we will become more creative. As humans, we have characteristics that no machine will develop: empathy and innovation.
The Livio AI, as the new device is called, uses tiny sensors plus, as its name suggests, artificial intelligence to selectively filter noise and focus on specific sound sources—for instance, the person across the table in a busy restaurant—while also tracking various health metrics, including steps walked, stairs climbed, and cognitive activity, such as how much the wearer is talking and engaging with other humans.
Jeff Ding, a researcher at the University of Oxford who studies China’s AI development, shared some recent reflections on the most important things he’s learned in the past year. They offer a great snapshot into the current state of the industry
Why is it so important that the U.S. lead in AI? It’s a simple question, with a straightforward answer: AI promises major economic and societal benefits that the U.S. would be foolish to forfeit. PWC estimates that AI technologies could increase global GDP by $15.7 trillion by 2030, a 20 percent increase overall. The estimated increase for North America alone is an eye-popping $3.7 trillion; a 14.5 percent increase in GDP.
Education has not had a make-over in over a century. Some schools still advocate for factory-style instruction. Bureaucratic red tape and top-down initiatives consume teachers’ time, leaving little left for instruction. No industry is more ready for a revolution than education. The fourth revolution in education is here, and it’s called artificial intelligence. AI is taking schools and classrooms by storm as educators welcome AI with open arms. Artificial intelligence has the potential to change education for the better.