Human insight remains essential to beat the bias of algorithms

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When it comes to bias and artificial intelligence, there is a common belief that algorithms are only as good as the numbers plugged into them. But the focus on algorithmic bias being concentrated entirely on data has meant we have ignored two aspects of this problem: the deep limitations of existing algorithms and, more importantly, the role of human problem solvers. Powerful as they may be, most of our algorithms only mine correlational relationships without understanding anything about them. My research has found that massive data sets on jobs, education and loans contain more spurious correlations than meaningful causal relationships. It is ludicrous to assume these algorithms will solve problems that we do not understand.


PGA Merchandise Show 2020: Callaway's investment in A.I. technology is creating club designs never before seen

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When someone thinks of artificial intelligence technology, often the mind goes to some of the world's biggest tech companies like Google, Amazon or even Tesla. But one company that creates products for a game that's existed since the mid-18th century is also getting involved in that realm. Senior Director of Brand and Product Management for Callaway Golf Dave Neville sat down with Kyle Porter of CBS Sports HQ at the PGA Merchandise Show to discuss the new MAVRIK driver. The club's name comes from a common compliment given to founder Ely Callaway Jr. for his knowledge of product, marketing and sales. Though the name is old-fashioned, the development of the driver is anything but, according to Neville.


Developments in Artificial Intelligence for Mental Health Care

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Advances in artificial intelligence have considered computers to help doctors in diagnosing disease and help screen patients' vital signs from any area. Significant advances have been made in artificial intelligence that will soon affect the manner in which mental health care is practiced in everyday clinical settings. The outcome will be increasingly individualized treatment integrating both traditional and evidence-based complementary and alternative medicine (CAM) modalities, progressively viable and more cost-effective medicines of numerous mental health issues, and improved results. In Europe, the WHO assessed that 44.3 million individuals suffer from depression and 37.3 million endure with anxiety. Diagnosis of mental health disorders depend on an age-old method that can be subjective and unreliable, says paper co-creator Brita Elvevåg, a cognitive neuroscientist at the University of Tromsø, Norway.


How Artificial Intelligence is Improving Assistive Technology - The Tech Edvocate

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The advances in technology could mean more for society than just new educational technology and virtual reality video games. People with disabilities are finding innovative ways to put artificial intelligence to work with their current conditions. As the science improves, assistive technology will continue producing new and improved platforms to help create a better standard of living for those individuals. Are you interested in the myriad of ways that assistive technology is changing with the improved status of artificial intelligence? These four examples should give you a great idea of what's possible when you integrate these two fields.


Facebook has trained an AI to navigate without needing a map

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The algorithm lets robots find the shortest route in unfamiliar environments, opening the door to robots that can work inside homes and offices. The news: A team at Facebook AI has created a reinforcement learning algorithm that lets a robot find its way in an unfamiliar environment without using a map. Using just a depth-sensing camera, GPS, and compass data, the algorithm gets a robot to its goal 99.9% of the time along a route that is very close to the shortest possible path, which means no wrong turns, no backtracking, and no exploration. This is a big improvement over previous best efforts. Why it matters: Mapless route-finding is essential for next-gen robots like autonomous delivery drones or robots that work inside homes and offices.


How to Use Big Data and Artificial Intelligence for Demand-Based Pricing in Retail

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You can call yourself a guru of retail pricing if you can make the right pricing decisions for every one of your products, separately and combined, based on their demand elasticity at any given moment. Each of your pricing decisions has to help you reach all of your current business goals and ensure the best shopping experience at the same time. In other words: to find a balance between your profits and traffic. Let's take a step back to where everything begins – your business strategy. The company's strategy is supposed to be converted into its pricing strategy and subsequently into pricing tactics.


How artificial intelligence provided early warnings of the Wuhan virus

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During the kind of virus outbreak that China and other nations are now contending with, time is of the essence. The earlier the warning, the better the chance to contain the contagion. One problem, though, is that governments are sometimes reticent to share information. Such was the case in 2002 and 2003, when Chinese authorities were accused of covering up the SARS epidemic that eventually claimed over 740 lives around the world. With the current outbreak, involving a coronavirus that originated in Wuhan and has so far taken over 40 lives, the Chinese government is being more transparent, as Germany's health minister noted to Bloomberg yesterday on the sidelines of the World Economic Forum in Davos.


New surveillance AI can tell schools where students are and where they've been

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As mass shootings at US schools increase in frequency while our country's gun control laws remain weaker than those in any other developed nation, more school administrators across the US are turning to artificially intelligent surveillance tools in an attempt to beef up school safety. But systems that allow schools to easily track people on campus have left some worried about the impact on student privacy. Recode has identified at least nine US public school districts -- including the district home to Marjory Stoneman Douglas High School (MSD) in Parkland, Florida, which in 2018 experienced one of the deadliest school shootings in US history -- that have acquired analytic surveillance cameras that come with new, AI-based software, including one tool called Appearance Search. Appearance Search can find people based on their age, gender, clothing, and facial characteristics, and it scans through videos like facial recognition tech -- though the company that makes it, Avigilon, says it doesn't technically count as a full-fledged facial recognition tool. Even so, privacy experts told Recode that, for students, the distinction doesn't necessarily matter.


How the Pentagon's JAIC Picks Its Artificial Intelligence-Driven Projects

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The Pentagon launched its Joint Artificial Intelligence Center in 2018 to strategically unify and accelerate AI applications across the nation's defense and military enterprise. Insiders at the center have now spent about nine months executing that defense driven AI-support. At an ACT-IAC forum in Washington Wednesday, Rachael Martin, the JAIC's mission chief of Intelligent Business Automation Augmentation and Analytics, highlighted insiders' early approach to automation and innovation. "Our mission is to transform the [Defense] business process through AI technologies, to improve efficiency and accuracy--but really to do all those things so that we can improve our overall warfighter support," Martin said. Within her specific mission area, Martin and the team explore and develop automated applications that support a range of efforts across the Pentagon, such as business administration, human capital management, acquisitions, finance and budget training, and beyond.


Yamaha's robot can ride a motorcycle today. Eventually it might be your chauffeur.

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We count on machines for our anti-lock brakes, cruise control and more. Tesla's autopilot and Google's self-driving pod are even stronger examples. But Yamaha has taken a distinct approach, building a human-like robot that sits on a motorcycle and rides it.