SAN FRANCISCO — Google unveiled an initiative on Thursday to help train Americans for jobs in technology and committed to donating $1 billion over the next five years to nonprofits in education and professional training.
The new program, Grow With Google, will create an online destination for job seekers to get training and professional certificates and for businesses to improve their web services. The company’s goal, executives said, is to allow anyone with an internet connection to become proficient with technology and prepare for a job in areas like information technology support and app development.
Google detailed its job training program as Silicon Valley faces increasing criticism over what some say is an unchecked influence over business and society. Google is also among a number of companies facing scrutiny over the role their internet services played in Russian interference in the 2016 presidential election.
Sundar Pichai, Google’s chief executive, unveiled the initiative during a speech on Thursday in the company’s Pittsburgh office, far from the search giant’s Silicon Valley headquarters. He noted the city’s transformation from an industrial manufacturing center for steel to a hub of robotics and artificial intelligence engineering.
“We understand there’s uncertainty and even concern about the pace of technological change, but we know that technology will be an engine of America’s growth for years to come,” Mr. Pichai said. “The nature of work is fundamentally changing, and that is shifting the link between education, training and opportunity.”
Things are about to get interesting. You’ve likely heard that Google’s DeepMind recently beat the world’s best Go player. But in far more practical and pervasive ways, artificial intelligence (AI) is creeping into every aspect of life–every screen you view, every search, every purchase, and every customer service contact.
What’s happening? It’s the confluence of several technologies–Moore’s law made storage, computing, and access devices almost free.
This Venn diagram illustrates how deep learning is a subset of AI and how, when combined with big data, can inform enabling technologies in many sectors. For examples, to AI and big data add:
Robotics, and you have industry 4.0.
Cameras and sensor package, and you have self-driving cars.
Sensors and bioinformatic maps, and you have precision medicine.
While there is lots of good news here–diseases will be eradicated and clean energy will be produced–we have a problem:this stuff is moving faster than civic infrastructure can handle. Innovation is outpacing public policy on all fronts.The following are 10 examples of issues coming at us fast that we (in the US in particular) are not ready to deal with.
Unemployment.
Income inequality.
Privacy
Algorithmic bias.
Access.
Machine ethics.
Weaponization.
Humanity.
Genome editing.
Bad AI.
From DSC: Readers of this blog will know that I’m big on pulse-checking the pace of technological change — because it has enormous ramifications for societies throughout the globe, as well as for individuals, workforces, corporations, jobs, education, training, higher education and more. Readers of this blog will again hear me say that the pace of change has changed. We’re now on an exponential pace/trajectory(vs. a slow, steady, linear path).
“Innovation is outpacing public policy on all fronts.”
How true this is. Our society doesn’t know how to deal with this new pace of change. How shall we tackle this thorny issue?
AWS and Microsoft announce Gluon, making deep learning accessible to all developers — from news.microsoft.com New open source deep learning interface allows developers to more easily and quickly build machine learning models without compromising training performance. Jointly developed reference specification makes it possible for Gluon to work with any deep learning engine; support for Apache MXNet available today and support for Microsoft Cognitive Toolkit coming soon.
Excerpt:
SEATTLE and REDMOND, Wash. — Oct. 12, 2017 — On Thursday, Amazon Web Services Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), and Microsoft Corp. (NASDAQ: MSFT) announced a new deep learning library, called Gluon, that allows developers of all skill levels to prototype, build, train and deploy sophisticated machine learning models for the cloud, devices at the edge and mobile apps. The Gluon interface currently works with Apache MXNet and will support Microsoft Cognitive Toolkit (CNTK) in an upcoming release. With the Gluon interface, developers can build machine learning models using a simple Python API and a range of prebuilt, optimized neural network components. This makes it easier for developers of all skill levels to build neural networks using simple, concise code, without sacrificing performance. AWS and Microsoft published Gluon’s reference specification so other deep learning engines can be integrated with the interface. To get started with the Gluon interface, visit https://github.com/gluon-api/gluon-api/.
Microsoft and Amazon announced a surprise partnership on Thursday in which they were jointly releasing for free a new software tool for developers called Gluon.
Gluon makes it easier for developers to build AI/machine learning systems, aka apps that can learn.
But there’s another, more important reason this partnership is interesting: it challenges Google in its one big area of dominance.
The Top 200 Tools for Learning 2017 (11th Annual Survey) has been compiled by Jane Hart of the Centre for Learning & Performance Technologies from the votes of 2,174 learning professionals worldwide, together with 3 sub-lists
Top 100 Tools for Personal & Professional Learning (PPL)
66 tools moved up the list. Top 3 risers are Unsplash (up 71 places), Grammarly (up 70 places) and Snapchat (up 64 places
Messaging apps and team tools are particularly on the rise: Slack is now up 8 places to #12, Trello is up 21 places to #22, Microsoft Teams is another new tool in at #79
52 NEW tools appear on the list this year – the highest entry is Typeform in at #55.
2 interesting new tools for augmented and virtual reality join the list – Aurasma, ENTiTi – as well as a chatbot system – Ultra Hal Assistant.
Some observations on what the Top Tools list tells us personal and professional learning As in previous years, individuals continue to using a wide variety of:
networks, services and platforms for professional networking, communication and collaboration
web resources and courses for self-improvement and self-development
tools for personal productivity
All of which shows that many individuals have become highly independent, continuous modern professional learners – making their own decisions about what they need to learn and how to do it.
If you are at all interesting in emerging technologies and what several pieces
of our future learning ecosystems — and meeting spaces — could easily look like,
you NEED to watch the entire presentation.
The era of Windows Mixed Reality begins October 17— from blogs.windows.com by Alex Kipman Samsung unveils Windows Mixed Reality headset, AltSpaceVR joins Microsoft, SteamVR catalog coming to Windows Mixed Reality this holiday.
At an event in San Francisco we unveiled our vision for Windows Mixed Reality, announced SteamVR and AltSpaceVR are coming to Windows Mixed Reality, introduced the new Samsung Odyssey HMD, and kicked off the holiday shopping season by announcing the availability of pre-orders for Windows Mixed Reality headsets at the Microsoft Store.
Microsoft held its long-awaited launch of Windows 10 Mixed Reality yesterday, and while most of the new devices and products had been leaked earlier, there were still some big takeaways. Here are some of them:
Mixed Reality: Microsoft gave a demo of what its new platform will do, covering the AR/VR spectrum with games, apps, and experiences. One such experience is Cliff House, a virtual work space and entertainment room.
Altspace VR: When the pioneering social VR app shut down this summer and was rescued by a “third party,” people wondered who that was. Turns out it was Microsoft, which acquired Altspace VR for an undisclosed amount. The acquisition was announced yesterday.
Steam VR and Halo: Microsoft had previously announced that its new Mixed Reality headsets would support Steam VR titles. Developers can now access that support, and consumers will be able to access it later this year. In addition to the hundreds of VR titles available on Steam, on Oct. 17, Microsoft will offer free downloads of Halo Recruit.
Odyssey and other headsets: The new Windows 10 platform is launching alongside a host of new headsets. In addition to the new Odyssey, which was made in partnership with Samsung, there are other headsets forthcoming from Acer, HP, Dell, Lenovo, and Asus.
2018 Olympics: This was announced previously in June, but yesterday Microsoft briefed the press that Intel is partnering with the International Olympic Committee to bring Windows Mixed Reality experiences to the 2018 games.
Watch the Google Pixel 2 event in 19 minutes — from the verge.com by Natt Garun The Google Pixel event has wrapped and we got a good look at a bunch of new hardware lineup this year: the second generation of Pixel smartphones, new Google Homes, a Pixelbook, and a surprise new Google camera that uses artificial intelligence to snap pictures and videos of your family. Is it as weird as it sounds? If you missed the keynote where Google presented everything, here’s a recap of everything Google announced in about two hours cut into a 19-minute video so you can see for yourself if these new products will make it to your shopping list this holiday season.
From DSC: I just wanted to include some excerpts (see below) from Gartner’s 100 Data and Analytics Predictions Through 2021 report. I do so to illustrate how technology’s impact continues to expand/grow in influence throughout many societies around the globe, as well as to say that if you want a sure thing job in the next 1-15 years, I would go into studying data science and/or artificial intelligence!
Excerpts:
As evidenced by its pervasiveness within our vast array of recently published Predicts 2017 research, it is clear that data and analytics are increasingly critical elements across most industries, business functions and IT disciplines. Most significantly, data and analytics are key to a successful digital business. This collection of more than 100 data-and-analytics-related Strategic Planning Assumptions (SPAs) or predictions through 2021, heralds several transformations and challenges ahead that CIOs and data and analytics leaders should embrace and include in their planning for successful strategies. Common themes across the discipline in general, and within particular business functions and industries, include:
Artificial intelligence (AI) is emerging as a core business and analytic competency. Beyond yesteryear’s hard-coded algorithms and manual data science activities, machine learning (ML) promises to transform business processes, reconfigure workforces, optimize infrastructure behavior and blend industries through rapidly improved decision making and process optimization.
Natural language is beginning to play a dual role in many organizations and applications as a source of input for analytic and other applications, and a variety of output, in addition to traditional analytic visualizations.
Information itself is being recognized as a corporate asset (albeit not yet a balance sheet asset), prompting organizations to become more disciplined about monetizing, managing and measuring it as they do with other assets. This includes “spending” it like cash, selling/licensing it to others, participating in emerging data marketplaces, applying asset management principles to improve its quality and availability, and quantifying its value and risks in a variety of ways.
Smart devices that both produce and consume Internet of Things (IoT) data will also move intelligent computing to the edge of business functions, enabling devices in almost every industry to operate and interact with humans and each other without a centralized command and control. The resulting opportunities for innovation are unbounded.
Trust becomes the watchword for businesses, devices and information, leading to the creation of digital ethics frameworks, accreditation and assessments. Most attempts at leveraging blockchain as a trust mechanism fail until technical limitations, particularly performance, are solved.
…
Education
Significant changes to the global education landscape have taken shape in 2016, and spotlight new and interesting trends for 2017 and beyond. “Predicts 2017: Education Gets Personal” is focused on several SPAs, each uniquely contributing to the foundation needed to create the digitalized education environments of the future. Organizations and institutions will require new strategies to leverage existing and new technologies to maximize benefits to the organization in fresh and
innovative ways.
By 2021, more than 30% of institutions will be forced to execute on a personalization strategy to maintain student enrollment.
By 2021, the top 100 higher education institutions will have to adopt AI technologies to stay competitive in research.
…
Artificial Intelligence
Business and IT leaders are stepping up to a broad range of opportunities enabled by AI, including autonomous vehicles, smart vision systems, virtual customer assistants, smart (personal) agents and natural-language processing. Gartner believes that this new general-purpose technology is just beginning a 75-year technology cycle that will have far-reaching implications for every industry. In “Predicts 2017: Artificial Intelligence,” we reflect on the near-term opportunities, and the potential burdens and risks that organizations face in exploiting AI. AI is changing the way in which organizations innovate and communicate their processes, products and services.
Practical strategies for employing AI and choosing the right vendors are available to data and analytics leaders right now.
By 2019, more than 10% of IT hires in customer service will mostly write scripts for bot interactions.
Through 2020, organizations using cognitive ergonomics and system design in new AI projects will achieve long-term success four times more often than others.
By 2020, 20% of companies will dedicate workers to monitor and guide neural networks.
By 2019, startups will overtake Amazon, Google, IBM and Microsoft in driving the AI economy with disruptive business solutions.
By 2019, AI platform services will cannibalize revenues for 30% of market-leading companies. “Predicts 2017: Drones”
By 2020, the top seven commercial drone manufacturers will all offer analytical software packages.
“Predicts 2017: The Reinvention of Buying Behavior in Vertical-Industry Markets”
By 2021, 30% of net new revenue growth from industry-specific solutions will include AI technology.
…
Advanced Analytics and Data Science
Advanced analytics and data science are fast becoming mainstream solutions and competencies in most organizations, even supplanting traditional BI and analytics resources and budgets. They allow more types of knowledge and insights to be extracted from data. To become and remain competitive, enterprises must seek to adopt advanced analytics, and adapt their business models, establish specialist data science teams and rethink their overall strategies to keep pace with the competition. “Predicts 2017: Analytics Strategy and Technology” offers advice on overall strategy, approach and operational transformation to algorithmic business that leadership needs to build to reap the benefits.
By 2018, deep learning (deep neural networks [DNNs]) will be a standard component in 80% of data scientists’ tool boxes.
By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.
By 2019, natural-language generation will be a standard feature of 90% of modern BI and analytics platforms.
By 2019, 50% of analytics queries will be generated using search, natural-language query or voice, or will be autogenerated.
By 2019, citizen data scientists will surpass data scientists in the amount of advanced analysis
produced.
By 2020, 95% of video/image content will never be viewed by humans; instead, it will be vetted by machines that provide some degree of automated analysis.
Through 2020, lack of data science professionals will inhibit 75% of organizations from achieving the full potential of IoT.
Google today announced the beta release of its Cloud Job Discovery service, which uses artificial intelligence to help customers connect job vacancies with the people who can fill them.
Formerly known as the Cloud Jobs API, the system is designed to take information about open positions and help job seekers take better advantage of it. For example, Cloud Job Discovery can take a plain language query and help translate that to the specific jargon employers use to describe their positions, something that can be hard for potential employees to navigate.
As part of this beta release, Google announced that Cloud Job Discovery is now designed to work with applicant-tracking systems and staffing agencies, in addition to job boards and career site providers like CareerBuilder.
It also now works in 100 languages. While the service is still primarily aimed at customers in the U.S., some of Google’s existing clients need support for multiple languages. In the future, the company plans to expand the Cloud Job Discovery service internationally, so investing in language support now makes sense going forward.
From DSC: Now tie this type of job discovery feature into a next generation learning platform, helping people identify which skills they need to get jobs in their local area(s). Provide a list of courses/modules/RSS feeds to get them started. Allow folks to subscribe to constant streams of content and unsubscribe to them at any time as well.
We MUST move to lifelong, constant learning via means that are highly accessible, available 24×7, and extremely cost effective. Blockchain-based technologies will feed web-based learner profiles, which each of us will determine who can write to our learning profile and who can review it as well.
Addendum on 9/29/17:
Facebook partners with ZipRecruiter and more aggregators as it ramps up in jobs — from techcrunch.com by Ingrid Lunden Excerpt: Facebook has made no secret of its wish to do more in the online recruitment market — encroaching on territory today dominated by LinkedIn, the leader in tapping social networking graphs to boost job-hunting. Today, Facebook is taking the next step in that process.
Facebook will now integrate with ZipRecruiter — an aggregator that allows those looking to fill jobs to post ads to many traditional job boards, as well as sites like LinkedIn, Google and Twitter — to boost the number of job ads available on its platform targeting its 2 billion monthly active users.
The move follows Facebook launching its first job ads earlier this year, and later appearing to be interested in augmenting that with more career-focused features, such as a platform to connect people looking for mentors with those looking to offer mentorship.
This week, the The Deep Learning Summit and AI Assistant Summit saw over 450 DL and AI experts and enthusiasts come together to learn from each other and explore the most recent research and progressions in the space. Over the past two days we’ve heard from the likes of Amazon, Facebook, Google, Vodafone, as well as Universities such as Cambridge, Warwick, UCL, Imperial, and exciting new startups like Jukedeck and Echobox. Topics have been incredibly diverse covering NLP, space exploration, ML for music composition, and many more.
We’ve collected some of our favourite takeaways from both tracks over the last two days, as well as hearing what our attendees thought.
What did we hear at the AI Assistant Summit? I’m driving in France and google translate is automatically translating all the french road signs for me and directing me to my location, telling me my time of arrival – this is the future. There is no interface there is no screen. Adi Chhabra, Evolution of AI & Machine Learning in Customer Experience – Beyond Interfaces, Vodafone
… We are at the beginning of the era of assistance. In the future every employee will have an assistant to help him with decision making.
Christophe Bourguignat, Deep Learning for Conversational Intelligence on Analytics Data, Zelros
Tap through the app’s catalogue of over 2,000 products—nearly the company’s full collection of umlauted sofas, armchairs, coffee tables, and storage units—then hold up your phone and use the camera to place the digital furniture anywhere in a room. Want to see how the Strandmon winged chair looks by the window? Done. Can you really squeeze in that 7-foot-long area rug? Open the app, point your camera at the floor, and watch it appear at scale. You can even place a futon where it would go in the guest room, then see what it looks like when it unfolds into a bed.
Ikea built the app with Apple’s ARKit, a developer toolkit created to usher in the augmented reality revolution on iOS devices. The app is free and available now, as long as your iPhone is updated to iOS 11.
One of the biggest features to come to iOS 11 is ARKit, enabling developers to open up your world to a whole new kind of gaming and discovery system. Instead of being limited to the screen, you can play on surfaces big and small and you can play with others. The only thing limiting you right now is not knowing which ARKit apps are out there right now, so you can dive in and see which apps are your new favorite.
Searching Apple’s massive App Store can take a long time, so we’ve compiled a big friendly list for you to pick out the real winners!
The majority of these apps are still at the demo stage for now, but it’s not difficult to see the potential. Games can take place in the real world, whether that’s on your living room floor or around your neighborhood, while you’ll be able to imagine anything from a new sofa to a new house extension through your phone’s camera.
Further down the line you’ll be able to point your phone at anything and get information overlaid about what you’re seeing with a whole new level of accuracy—the distance to the pin on a golf course, the current stats for players out on a baseball field, or precise directions to the store you need in the mall you’ve just got lost in. You can measure distances, land a rocket in your backyard, and so much more.
Of course AR (or “mixed reality”) headsets are going to provide a much more immersive experience and are a more natural fit than having to hold your phone or tablet in front of you to see anything in AR land. Until those headsets hit the mainstream though, ARKit and ARCore are about to introduce millions of people to the potential of augmented reality. Instead of looking down at your phone you’re going to be holding it up to access all the information of the internet with a swipe.
Amazon’s first wearable device will be a pair of smart glasses with the Alexa voice assistant built in, according to a report in the Financial Times. The device will reportedly look like a regular pair of glasses and use bone-conduction technology so that the user can hear Alexa without the need for earphones or conventional speakers. It won’t, however, likely have a screen or camera, although Google Glass founder Babak Parviz has apparently been working on the project following his hiring by Amazon in 2014.
What does Google want with HTC’s smartphone business?— from theguardian.com by Samuel Gibbs Google is acquiring a $1bn chunk of HTC’s smartphone arm, including 2,000 employees and access to intellectual property, as it bets big on hardware
Google isn’t buying the whole of HTC, just a relatively large part of the Taipei-based company’s smartphone business and not itsVive virtual reality headset business. Google gains half of HTC’s research and development team – about 2,000 people – and a non-exclusive license for HTC’s intellectual property, allowing it to take advantage of some of HTC’s advances in smartphone technology.
HTC gets a cash injection, which will help it survive in some very competitive markets, and Google gets to continue its “big bet on hardware” according to Rick Osterloh, the company’s senior vice president for hardware.
It’s “a business decision to have access to one of the best R&D teams”, said Neil Shah, research director at Counterpoint Technology Market Research. But it’s also “a sort of emotional decision to save its close partners”.
The Washington Post today announced the launch of its first embedded augmented reality story. The Post built an industry-first embed code that lets users trigger an augmented reality experience with 3D visuals and audio narration.
“We were excited to be the first news publisher to support augmented reality in a news application, but for our second iteration in our iconic building series we needed to make augmented reality even simpler,” said Jeremy Gilbert, director of strategic initiatives at The Post. “We’ve been working to reduce the friction to make augmented reality as easily accessible as a photo gallery or a video—those are played inline and augmented reality should be too.”
You can get a sense for what this expansion means in the video below. Ford has already been using HoloLens to help design new cars; bringing 3D models into the real world using the augmented reality headset. Now, however, the company is introducing new processes, like overlaying new features onto existing car models and creating guided tours of cars using voice recording. The company also says it’s developing new apps for better collaboration in AR.
With Google Earth VR, you can go anywhere in virtual reality. Whether you want to stroll along the canals of Venice, stand at the summit of Mount Kilimanjaro or soar through the sky faster than a speeding bullet, there’s no shortage of things to do or ways to explore. We love this sense of possibility, so we’re bringing Street View to Earth VR to make it easier for you to see and experience the world.
This update lets you explore Street View imagery from 85 countries right within Earth VR. Just fly down closer to street level, check your controller to see if Street View is available and enter an immersive 360° photo. You’ll find photos from the Street View team and those shared by people all around the world.
It’s that time of year again, and we’re bringing you a special “Back to School” edition of Inside VR & AR. Virtual and Augmented Reality technology is more than just fun and games; there are a lot of apps and tools that are meant to educate and help people learn in an immersive environment. Today’s issue highlights some of the newest educational apps.
Cognitive behaviour therapies for suicide prevention and psychological assessment will be the focus, it said.
The companies will make chairs and diagnosis kits as physical products and will develop an application for use in psychological assessments using artificial intelligence (AI).
Before we proceed, let’s make one thing clear: AR is not just about dog face filters and Pokémon GO. We kid you not. People are using this technology to bring ease to their lives and many forward-thinking companies are working with augmented reality to improve their workflow and businesses. Let’s see how.
When Pokemon Go conquered the world, everyone could face the huge potential in augmented reality. Although the hype around the virtual animal hunting settled, AR continues to march triumphantly into more and more industries and fields, including healthcare. Here, I listed the most significant companies bringing augmented reality to medicine and healing.
… Brain Power
The Massachusetts-based technology company, established in 2013, has been focusing on the application of pioneering neuroscience with the latest in wearable technology, in particular, Google Glass. The start-up builds brain science-driven software to transform wearables into neuro-assistive devices for the educational challenges of autism. Their aim is to teach life skills to children and adults on the autism spectrum. They developed a unique software suite, the “Empowered Brain” aiming to help children with their social skills, language, and positive behaviors. The software contains powerful data collection and analytic tools allowing for customized feedback for the child.
How VR Can Ease the Transition for First-Time Wheelchair Users — from vrscout.com by Presley West Designers at innovation and design company, Fjord, have created a VR experience that teaches brand new wheelchair users how to safely maneuver their environment in a safe, empowering way.
Content and Education
In the midst of a dearth of content for VR, WebVR content creators are coming together to create and collaborate. Over a million creators are sharing their 3D models on Sketchfab’s 3D/VR art community platform. Virtuleap also organized the first global WebVR hackathon.
“For application domains such as education and heritage, developing VR scenes and experiences for the Web is highly important,” said Stone. “[This] promotes accessibility by many beneficiaries without the need (necessarily) for expensive and sophisticated computing or human interface hardware.”
This democratized approach opens up possibilities in education far beyond what we’re seeing today.
“I also think that WebVR, as a JavaScript API, also enables a wide range of future students and young developers to ‘dip their toes into the water’ and start to build portfolios demonstrating their capabilities, ultimately to future employers,” said Stone. “I remember the promise of the days of VRML and products such as SGI’s Cosmo and Cortona3D (which still available today, of course). But the ability to be able to open up interactive—and quite impressive—demos of VR experiences that existed in higher quality form on specialised platforms, became an amazing marketing tool in the late 1990s and 2000s.”
With more than two billion active devices, Android is the largest mobile platform in the world. And for the past nine years, we’ve worked to create a rich set of tools, frameworks and APIs that deliver developers’ creations to people everywhere. Today, we’re releasing a preview of a new software development kit (SDK) called ARCore. It brings augmented reality capabilities to existing and future Android phones. Developers can start experimenting with it right now.
AR Experiments is a site that features work by coders who are experimenting with augmented reality in exciting ways. These experiments use various tools like ARCore, an SDK that lets Android developers create awesome AR experiences. We’re featuring some of our favorite projects here to help inspire more coders to imagine what could be made with AR.
Available as a preview, ARCore is an Android software development kit (SDK) that lets developers introduce AR capabilities to, you guessed it, Android devices. Because of how ARCore works, there is no need for folks to purchase additional sensors or hardware – it will work on existing and future Android phones.
The most innovative AI breakthroughs, and the companies that promote them – such as DeepMind, Magic Pony, Aysadi, Wolfram Alpha and Improbable – have their origins in universities. Now AI will transform universities.
We believe AI is a new scientific infrastructure for research and learning that universities will need to embrace and lead, otherwise they will become increasingly irrelevant and eventually redundant.
Through their own brilliant discoveries, universities have sown the seeds of their own disruption. How they respond to this AI revolution will profoundly reshape science, innovation, education – and society itself.
…
As AI gets more powerful, it will not only combine knowledge and data as instructed, but will search for combinations autonomously. It can also assist collaboration between universities and external parties, such as between medical research and clinical practice in the health sector.
The implications of AI for university research extend beyond science and technology.
…
When it comes to AI in teaching and learning, many of the more routine academic tasks (and least rewarding for lecturers), such as grading assignments, can be automated. Chatbots, intelligent agents using natural language, are being developed by universities such as the Technical University of Berlin; these will answer questions from students to help plan their course of studies.
Virtual assistants can tutor and guide more personalized learning. As part of its Open Learning Initiative (OLI), Carnegie Mellon University has been working on AI-based cognitive tutors for a number of years. It found that its OLI statistics course, run with minimal instructor contact, resulted in comparable learning outcomes for students with fewer hours of study. In one course at the Georgia Institute of Technology, students could not tell the difference between feedback from a human being and a bot.
I built an Amazon Alexa skill called Introduction to Computing Flashcards. In using the skill, or Amazon Alexa app, students are able to listen to Alexa and then answer questions. Alexa helps students prepare for an exam by speaking definitions and then waiting for their identification. In addition to quizzing the student, Alexa is also keeping track of the correct answers. If a student answers five questions correctly, Alexa shares a game code, which is worth class experience points in the course gamification My Game app.
…
Certainly, exam preparation apps are one way to use digital assistants in education. As development and publishing of Amazon Alexa skills becomes easier, faculty will be able to produce such skills just as easily as they now create PowerPoints. Given the basic code available through Amazon tutorials, it takes 20 minutes to create a new exam preparation app. Basic voice experience Amazon Alexa skills can take as much as five minutes to complete.
Universities can publish their campus news through the Alexa Flash Briefing. This type of a skill can publish news, success stories, and other events associated with the campus.
…
If you are a faculty member, how can you develop your first Amazon Alexa skill? You can use any of the tutorials already available. You can also participate in an Amazon Alexa classroom training provided by Alexa Dev Days. It is possible that schools or maker spaces near you offer in-person developer sessions. You can use meetup.com to track these opportunities.
From DSC: I’ve been thinking about Applicant Tracking Systems (ATSs) for a while now, but the article below made me revisit my reflections on them. (By the way, my thoughts below are not meant to be a slam on Google. I like Google and I use their tools daily.) I’ve included a few items below, but there were some other articles/vendors’ products that I had seen on this topic that focused specifically on ATSs, but I couldn’t locate them all.
In mid-June, Google announced the implementation of an AI-powered search function aimed at connecting job seekers with jobs by sorting through posted recruitment information. The system allows users to search for basic phrases, such as “jobs near me,” or perform searches for industry-specific keywords. The search results can include reviews from Glassdoor or other companies, along with the details of what skills the hiring company is looking to acquire.
As this is a relatively new development, what the system will mean is still an open question. To help, members from the Forbes Coaches Council offer their analysis on how the search system will impact candidates or companies. Here’s what they said…
5. Expect competition to increase. Google jumping into the job search market may make it easier than ever to apply for a role online. For companies, this could likely tax the already strained-ATS system, and unless fixed, could mean many more resumes falling into that “black hole.” For candidates, competition might be steeper than ever, which means networking will be even more important to job search success. – Virginia Franco
10. Understanding keywords and trending topics will be essential. Since Google’s AI is based on crowd-gathered metrics, the importance of keywords and understanding trending topics is essential for both employers and candidates. Standing out from the crowd or getting relevant results will be determined by how well you speak the expected language of the AI. Optimizing for the search engine’s results pages will make or break your search for a job or candidate. – Maurice Evans, IGROWyourBiz, Inc
Before then, 21-year-old Ms. Jaffer had filled out a job application, played a set of online games and submitted videos of herself responding to questions about how she’d tackle challenges of the job. The reason she found herself in front of a hiring manager? A series of algorithms recommended her.
The debate is on, whether man or machine will win the race, as they are pitted against each other in every walk of life. Experts are already worried about the social disruption that is inevitable, as artificial intelligence (AI)-led robots take over the jobs of human beings, leaving them without livelihoods.The same is believed to happen to the HR profession, says a report by Career Builder. HR jobs are at threat, like all other jobs out there, as we can expect certain roles in talent acquisition, talent management, and mainstream business being automated over the next 10 years. To delve deeper into the imminent problem, Career Builder carried out a study of 719 HR professionals in the private sector, specifically looking for the rate of adoption of emerging technologies in HR and what HR professionals perceived about it.
The change is happening for real, though different companies are adopting technologies at varied paces. Most companies are turning to the new-age technologies to help carry out talent acquisition and management tasks that are time-consuming and labor-intensive.
From DSC: Are you aware that if you apply for a job at many organizations nowadays, your resume has a significant chance of not ever making it in front of a human’s eyeballs for their review? Were you aware that an Applicant Tracking System (an ATS) will likely syphon off and filter out your resume unless you have the exact right keywords in your resume and unless you mentioned those keywords the optimal number of times?
And were you aware that many advisors assert that you should use a 1 page resume — a 2 page resume at most? Well…assuming that you have to edit big time to get to a 1-2 page resume, how does that editing help you get past the ATSs out there? When you significantly reduce your resume’s size/information, you hack out numerous words that the ATS may be scanning for. (BTW, advisors recommend creating a Wordle from the job description to ascertain the likely keywords; but still, you don’t know which exact keywords the ATS will be looking for in your specific case/job application and how many times to use those keywords. Numerous words can be of similar size in the resulting Wordle graphic…so is that 1-2 page resume helping you or hurting you when you can only submit 1 resume for a position/organization?)
Vendors are hailing these ATS systems as being major productivity boosters for their HR departments…and that might be true in some cases. But my question is, at what cost?
At this point in time, I still believe that humans are better than software/algorithms at making judgement calls. Perhaps I’m giving hiring managers too much credit, but I’d rather have a human being make the call at this point. I want a pair of human eyeballs to scan my resume, not a (potentially) narrowly defined algorithm. A human being might see transferable skills better than a piece of code at this point.
Just so you know…in light of these keyword-based means of passing through the first layer of filtering, people are now playing games with their resumes and are often stretching the truth — if not outright lying:
A new study shows huge increase in lies on job applications.
Excerpt (emphasis DSC):
Employer Applicant Tracking Systems Expect an Exact Match Most companies use some form of applicant tracking system (ATS) to take in résumés, sort through them, and narrow down the applicant pool. With the average job posting getting more than 100 applicants, recruiters don’t want to go bleary-eyed sorting through them. Instead, they let the ATS do the dirty work by telling it to pass along only the résumés that match their specific requirementsfor things like college degrees, years of experience, and salary expectations. The result? Job seekers have gotten wise to the finicky nature of the technology and are lying on their résumés and applications in hopes of making the cut.
From DSC:
I don’t see this as being very helpful. But perhaps that’s because I don’t like playing games with people and/or with other organizations. I’m not a game player. What you see is what you get. I’ll be honest and transparent about what I can — and can’t — deliver.
But students, you should know that these ATS systems are in place. Those of us in higher education should know about these ATS systems, as many of us are being negatively impacted by the current landscape within higher education.
Is Your Resume ATS Friendly?
Did you know that an ATS (applicant tracking system) will play a major role in whether or not your resume is selected for further review when you’re applying to opportunities through online job boards?
It’s true. When you apply to a position a company has posted online, a human usually isn’t the first to review your resume, a computer program is. Scouring your resume for keywords, terminology and phrases the hiring manager is targeting, the program will toss your resume if it can’t understand the content it’s reading. Basically, your resume doesn’t stand a chance of making it to the next level if it isn’t optimized for ATS.
To ensure your resume makes it past the evil eye of ATS, format your resume correctly for applicant tracking programs, target it to the opportunity and check for spelling errors. If you don’t, you’re wasting your time applying online.
![The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV](http://danielschristian.com/learning-ecosystems/wp-content/uploads/2012/07/The-Living-Class-Room-Daniel-S-Christian-July-2012.jpg)
