Intuit CEO Sasan Goodarzi joins the who's who of leaders exploring AI, regulation, the future workforce and other tech trends Intuit CEO Sasan Goodarzi was among several dozen Fortune 500 leaders, tech entrepreneurs and investors who recently attended Fortune Brainstorm Tech, an invitation-only conference for exploring bleeding-edge trends. At this year's event in Aspen, Colorado, July 15 – 17, topics ranged from artificial intelligence (AI), to the intersection of policy and tech, to U.S. competitiveness versus China and the rest of the world, and more. AI was a major theme this year. Discussions abounded on the ethics and moral obligations facing the industry to ensure that AI technology develops for good. In a panel titled "How to Control AI (Before It Controls Us)," Salesforce's chief scientist and IBM's SVP of cloud/cognitive software addressed the issue of what companies must do to harness the potential of AI without harming their customers.

Ever since the Industrial Age, machines have replaced jobs and people. It's only natural that workers today are uneasy about the growing influence of artificial intelligence in the workplace. But while it's certain that AI is going to replace some jobs, it won't replace ALL jobs. McKinsey says there are new jobs we haven't yet imagined, which by 2030 could amount for as much as 10% of all jobs. That doesn't magically make your employee fears evaporate, though.

FRANKFURT (Reuters) - Waymo is exploring deploying its self-driving technology in the trucking industry, CEO John Krafcik said on Thursday, as it works with industry partners to seize a commercial opportunity from a looming shortage of human drivers. Waymo, backed by Alphabet Inc's (GOOGL.O) Google, has so far focused on so-called robotaxis but, in remarks prepared for a speech to the Frankfurt motor show, Krafcik said the self-driving technology, Waymo Driver, was also suited to steering road freight. "Ride-hailing is an important application of our Driver," Krafcik told political and industry leaders, including German Chancellor Angela Merkel, at the event's official opening. "Our technology can also make trucking safer and stronger, and fill a pressing need for more drivers in many parts of the world. "We've already conducted road tests of the Waymo Driver in Class 8 trucks across the U.S., and we're working closely with the ecosystem -- shippers, truck makers, and Tier One suppliers -- to ensure a successful deployment." Industry experts and analysts forecast a severe shortage of truck drivers in aging societies, including Germany, leading mobility players including Uber (UBER.N) to develop applications that aim to boost the sector's efficiency. Ten-year-old Waymo is widely viewed as the leader of the self-driving race, but attaining the holy grail of full and safe automation remains challenging as companies in the field seek to recoup their research and development costs. "Our journey has been a long one, but there is still a long road ahead.

The Food and Drug Administration has cleared a new artificial intelligence-powered X-ray device that maker GE Healthcare says reduces the time to detect a collapsed lung from eight hours to as little as 15 minutes, the company announced Thursday. The device, called the Critical Care Suite, uses AI algorithms to scan X-ray images and detect pneumothorax, a deadly condition more commonly known as a collapsed lung that affects roughly 74,000 Americans each year. "The health-care industry is producing huge amounts of data from images to digital health records," GE Healthcare CEO Kieran Murphy said in an interview with CNBC ahead of the announcement. "We strongly believe that you have to turn that data into information and insight to improve outcomes." GE Healthcare, a dominant player in hospital and lab equipment, said its goal is to integrate AI into every aspect of the health-care system to ultimately "improve patient outcomes, reduce waste and inefficiencies, and eliminate costly errors."

The U.S. Food and Drug Administration granted 510(k) clearance to GE Healthcare's Critical Care Suite -- a collection of artificial intelligence (AI) algorithms embedded on a mobile X-ray device, the healthcare business division of GE announced today. Using GE Healthcare's Edison platform, the AI aims to help reduce the turnaround time it takes radiologists to review suspected pneumothorax, a type of collapsed lung. "By integrating AI into every aspect of care, we will ultimately improve patient outcomes, reduce waste and inefficiencies and eliminate costly errors," said Kieran Murphy, president and CEO of GE Healthcare. If a patient is scanned on a device with Critical Care Suite, it will automatically analyze the images by searching for a pneumothorax, GE Healthcare claims. If suspected, an alert with the original X-ray is sent straight to the radiologist to review.

WASHINGTON, D.C. – Today, the U.S. Department of Energy's (DOE's) Advanced Research Projects Agency-Energy (ARPA-E) announced up to $20 million in funding to accelerate the incorporation of machine learning and artificial intelligence into energy technology and product design processes. The Design Intelligence for Formidable Energy Reduction Engendering Numerous Totally Impactful Advanced Technology Enhancements (DIFFERENTIATE) program seeks to enhance energy innovation by incorporating artificial intelligence and machine learning into energy technology development. "Artificial intelligence and machine learning has the potential to literally transform every aspect of the world as we know it, and accelerating this technology is crucial to strengthening our country's economic and national security," said U.S. Secretary of Energy Rick Perry. "DOE-fueled artificial intelligence is being utilized across all sectors, from strengthening cybersecurity and national security, increasing energy efficiency, optimizing grid security and resiliency, and developing innovative health solutions. The DIFFERENTIATE program is the latest example of DOE paving the way towards the New American Energy Era." In order to organize these efforts, DIFFERNTIATE identifies six general mathematical optimization problems that are common to many design processes. It then conceptualizes several machine learning tools that could help engineers execute and solve these problems in a manner that dramatically accelerates the pace of energy innovation.

Governments around the world should create special visa classifications for the international AI and machine learning community, the Partnership on AI said in a newly released report. Such visa classifications should be made for working professionals, as well as students and interns in AI and ML, in order for them to more easily attend conferences and study for extended periods. The report points out that some nations permit special visa classifications for medical professionals, athletes, religious workers, and entrepreneurs. Such steps are necessary, the group asserts, to enable members of the world's AI research community to collaborate and share ideas. Allowing a diverse group of researchers to attend international AI conferences is valuable because it can introduce new ideas, combat groupthink, ensure that a wider swath of researchers enjoy the prestige of major conference presentations, and let "organizations have the opportunity to benefit from all available talent."

Today, CUNY's continuing education programs teach job-specific tools ranging from business management to plumbing, but in-depth courses can pose a significant cost burden if not paid for by an employer. Lifelong learning dollars could also be used to earn specific industry-recognized credentials in fields like video production, solar installation, or IT support, or retrain for a tech career at a bootcamp like General Assembly or Flatiron School, which deliver a strong return on investment but come at a high upfront cost.

I'm part of a larger U.S. government project that is working on developing ways to detect images and videos that have been manipulated. My team's work, though, is to play the role of the bad guy. We develop increasingly devious, and convincing, ways to generate fakes -- in hopes of giving other researchers a good challenge when they're testing their detection methods. For the past three years, we've been having a bit of fun dreaming up new ways to try to change the meaning of images and video. We've created some scenarios ourselves, but we've also had plenty of inspiration from current events and circumstances of actual bad guys trying to twist public opinion.

This past weekend, data visualization, and specifically data visualization around depicting uncertainty, got a bit of national attention. As someone who designs with data and uncertainty, this was very exciting to me (not to mention it gave me a way to talk to my family about what I do!) On Wednesday President Trump spoke in front of reporters holding up a map of the approaching Hurricane Dorian. The reason this became a news items on its own is that the map had been altered from its original form. A map of the gulf coast that originally had a cone-shaped graphic mapping the potential path of the hurricane now had a new addition -- an extra bulbous bump. The new addition was immediately suspicious, and there are a couple of obvious reasons why.