robotics

From DSC:
In this video, I look at how the pace of change has changed and I also provide some examples that back up this assertion. I end with a series of relevant questions, especially for those of us working within higher education.

What are we doing to get ready for the massive change that’s heading our way?

Ask About AI: The Future of Learning and Work — from gettingsmart.com by Tom Vander Ark

Excerpts:

Code that learns may prove to be the most important invention in human history. But in 2016, there was almost no discussion of the implications of artificial intelligence (AI) in K-12 education—either the immense implications for the employment landscape or the exciting potential to improve learning.

We spent two years studying the implications of AI and concluded that machine intelligence turbocharged by big data and enabling technologies like robotics is the most significant change force facing humanity. Given enormous benefits and challenges we’re just beginning to understand, we believe it is an important time to Ask About AI (#AskAboutAI).

…

After interviewing experts, hosting a dozen community conversations, and posting more than 50 articles we’re summarizing what we’ve learned in a new paper Ask About AI: The Future of Learning and Work.

The paper explores what’s happening in the automation economy, the civic and social implications, and how to prepare ourselves and our children for exponential change.

With this launch we’re also launching a new microsite on Future of Work.

To initiate lifelong learning, secondary schools should encourage students to be reflect on how they learn, and build habits of success. There are an increasing number of organizations interested in being lifelong learning partners for students—college alumni associations, professional schools and private marketplaces among them.

Self-directed learning is most powerfully driven by a sense of purpose. In our study of Millennial employment, Generation Do It Yourself, we learned that it is critical for young people to develop a sense of purpose before attending college to avoid the new worst-case scenario—racking up college debt and dropping out. A sense of purpose can be developed around a talent or issue, or their intersection; both can be cultivated by a robust guidance system.

We’ve been teaching digital literacy for two decades, but what’s new is that we all need to appreciate that algorithms curate every screen we see. As smart machines augment our capabilities, they will increasingly influence our perceptions, opportunities and decisions. That means that to self- and social awareness, we’ll soon need to add AI awareness.

Taken together, these skills and dispositions create a sense of agency—the ability to take ownership of learning, grow through effort and work with other people in order to do the learning you need to do.

McKinsey: automation may wipe out 1/3 of America’s workforce by 2030 — from axios.com by Steve LeVine

Excerpt (emphasis DSC):

In a new study that is optimistic about automation yet stark in its appraisal of the challenge ahead, McKinsey says massive government intervention will be required to hold societies together against the ravages of labor disruption over the next 13 years. Up to 800 million people—including a third of the work force in the U.S. and Germany—will be made jobless by 2030, the study says.

The bottom line: The economy of most countries will eventually replace the lost jobs, the study says, but many of the unemployed will need considerable help to shift to new work, and salaries could continue to flatline. “It’s a Marshall Plan size of task,” Michael Chui, lead author of the McKinsey report, tells Axios.

In the eight-month study, the McKinsey Global Institute, the firm’s think tank, found that almost half of those thrown out of work—375 million people, comprising 14% of the global work force—will have to find entirely new occupations, since their old one will either no longer exist or need far fewer workers. Chinese will have the highest such absolute numbers—100 million people changing occupations, or 12% of the country’s 2030 work force.

I asked Chui what surprised him the most of the findings. “The degree of transition that needs to happen over time is a real eye opener,” he said.

The transition compares to the U.S. shift from a largely agricultural to an industrial-services economy in the early 1900s forward. But this time, it’s not young people leaving farms, but mid-career workers who need new skills.

From DSC:
Higher education — and likely (strictly) vocational training outside of higher ed — is simply not ready for this! MAJOR reinvention will be necessary, and as soon as 2018 according to Forrester Research.

One of the key values that institutions of traditional higher education can bring to the table is to help people through this gut wrenching transition — identifying which jobs are going to last for the next 5-10+ years and which ones won’t, and then be about the work of preparing the necessary programs quickly enough to meet the demands of the new economy.

Students/entrepreneurs out there, they say you should look around to see where the needs are and then develop products and/or services to meet those needs. Well, here you go!

As a member of the International Education Committee, at edX we are extremely aware of the changing nature of work and jobs. It is predicted that 50 percent of current jobs will disappear by 2030.

Anant Agarwal, CEO and Founder of edX, and Professor of
Electrical Engineering and Computer Science at MIT
(source)

Addendum:

Automation threatens 800 million jobs, but technology could still save us, says report — from theverge.com by James Vincent
New analysis says governments need to act now to help a labor force in flux

Excerpt:

A new report predicts that by 2030, as many as 800 million jobs could be lost worldwide to automation. The study, compiled by the McKinsey Global Institute, says that advances in AI and robotics will have a drastic effect on everyday working lives, comparable to the shift away from agricultural societies during the Industrial Revolution. In the US alone, between 39 and 73 million jobs stand to be automated — making up around a third of the total workforce.

If a computer can do one-third of your job, what happens next? Do you get trained to take on new tasks, or does your boss fire you, or some of your colleagues? What if you just get a pay cut instead? Do you have the money to retrain, or will you be forced to take the hit in living standards?

AI: Embracing the promises and realities — from the Allegis Group

Excerpts:

What will that future be? When it comes to jobs, the tea leaves are indecipherable as analysts grapple with emerging technologies, new fields of work, and skills that have yet to be conceived. The only certainty is
that jobs will change. Consider the conflicting predictions put forth by the analyst community:

According to the Organization of Economic Cooperation and Development, only 5-10% of labor would be displaced by intelligent automation, and new job creation will offset losses. (Inserted comment from DSC: Hmmm. ONLY 5-10%!? What?! That’s huge! And don’t count on the majority of those people becoming experts in robotics, algorithms, big data, AI, etc.)
The World Economic Forum27 said in 2016 that 60% of children entering school today will work in jobs that do not yet exist.
47% of all American job functions could be automated within 20 years, according to the Oxford Martin School on Economics in a 2013 report.
In 2016, a KPMG study estimated that 100 million global knowledge workers could be affected by robotic process automation by 2025.

Despite the conflicting views, most analysts agree on one thing: big change is coming. Venture Capitalist David Vandergrift has some words of advice: “Anyone not planning to retire in the next 20 years should be paying pretty close attention to what’s going on in the realm of AI. The supplanting (of jobs) will not happen overnight: the trend over the next couple of decades is going to be towards more and more automation.”30

While analysts may not agree on the timing of AI’s development in the economy, many companies are already seeing its impact on key areas of talent and business strategy. AI is replacing jobs, changing traditional roles, applying pressure on knowledge workers, creating new fields of work, and raising the demand for certain skills.

The emphasis on learning is a key change from previous decades and rounds of automation. Advanced AI is, or will soon be, capable of displacing a very wide range of labor, far beyond the repetitive, low-skill functions traditionally thought to be at risk from automation. In many cases, the pressure on knowledge workers has already begun.

Regardless of industry, however, AI is a real challenge to today’s way of thinking about work, value, and talent scarcity. AI will expand and eventually force many human knowledge workers to reinvent their roles to address issues that machines cannot process. At the same time, AI will create a new demand for skills to guide its growth and development. These emerging areas of expertise will likely be technical or knowledge-intensive fields. In the near term, the competition for workers in these areas may change how companies focus their talent strategies.

WE ARE NOT READY FOR THIS! Per Forrester Research: In US, a net loss of 7% of jobs to automation — in 2018!

On 11/13/2017, in 21st century, 24x7x365 access, active learning, adult learning, Amazon, Apple, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, bots, business, Canada, career development, change, collaboration, colleges, community colleges, corporate / business world, corporate universities / corporate training, credentialing, dangers of the status quo, Daniel S. Christian, data related items, digital learning, disruption, education reform, education technology, emerging technologies, Europe, Facebook / Meta Platforms, future, future of higher education, game-changing environment, global / globalization, Google, heutagogy, higher education, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, intelligent tutoring, internet, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, legislatures / government / legal, lifelong learning, microlearning, Microsoft, more voice more choice more control, online learning, organizational change, pace of change, platforms, professional development, reinvent, research, robotics, second screen apps, society, staying relevant, strategy, streams of content, surviving, technologies for your home, the downsides of how people use tech, training / L&D, trends, UK, United States, universities, vendors, vision/possibilities, web-based collaboration, workplace, by Daniel Christian

Forrester predicts that AI-enabled automation will eliminate 9% of US jobs in 2018 — from forbes.com by Gil Press

Excerpt (emphasis DSC):

A new Forrester Research report, Predictions 2018: Automation Alters The Global Workforce, outlines 10 predictions about the impact of AI and automation on jobs, work processes and tasks, business success and failure, and software development, cybersecurity, and regulatory compliance.

We will see a surge in white-collar automation, half a million new digital workers (bots) in the US, and a shift from manual to automated IT and data management. “Companies that master automation will dominate their industries,” Forrester says. Here’s my summary of what Forrester predicts will be the impact of automation in 2018:

Automation will eliminate 9% of US jobs but will create 2% more.
In 2018, 9% of US jobs will be lost to automation, partly offset by a 2% growth in jobs supporting the “automation economy.” Specifically impacted will be back-office and administrative, sales, and call center employees. A wide range of technologies, from robotic process automation and AI to customer self-service and physical robots will impact hiring and staffing strategies as well as create a need for new skills.

Your next entry-level compliance staffer will be a robot.

From DSC:

**Are we ready for a net loss of 7% of jobs in our workforce due to automation — next year? Last I checked, it was November 2017, and 2018 will be here before we know it.**

Are we ready for this?!

AS OF TODAY, can we reinvent ourselves fast enough given our current educational systems, offerings, infrastructures, and methods of learning?

My answer: No, we can’t. But we need to be able to — and very soon!

There are all kinds of major issues and ramifications when people lose their jobs — especially this many people and jobs! The ripple effects will be enormous and very negative unless we introduce new ways for how people can learn new things — and quickly!

That’s why I’m big on trying to establish a next generation learning platform, such as the one that I’ve been tracking and proposing out at Learning from the Living [Class] Room. It’s meant to provide societies around the globe with a powerful, next generation learning platform — one that can help people reinvent themselves quickly, cost-effectively, conveniently, & consistently! It involves providing, relevant, up-to-date streams of content that people can subscribe to — and drop at any time. It involves working in conjunction with subject matter experts who work with teams of specialists, backed up by suites of powerful technologies. It involves learning with others, at any time, from any place, at any pace. It involves more choice, more control. It involves blockchain-based technologies to feed cloud-based learner profiles and more.

But likely, bringing such a vision to fruition will require a significant amount of collaboration. In my mind, some of the organizations that should be at the table here include:

Some of the largest players in the tech world, such as Amazon, Google, Apple, IBM, Microsoft, and/or Facebook
Some of the vendors that already operate within the higher ed space — such as Salesforce.com, Ellucian, and/or Blackboard
Some of the most innovative institutions of higher education — including their faculty members, instructional technologists, instructional designers, members of administration, librarians, A/V specialists, and more
The U.S. Federal Government — for additional funding and the development of policies to make this vision a reality

Will blockchain help make Virtual Reality more social? — from thenextweb.com by Alice Bonasio

Excerpt:

Emerging social VR platforms are experimenting with new ways of democratizing access and ownership of content and information.

VR has often been considered something of a solitary experience, but that’s changing fast. Social VR platforms are on the rise, and as the acquisition of AltspaceVR by Microsoft shows, major players in that space are taking notice.
…
This shows how momentum is building around social VR, and although it’s unlikely that such platforms will replace social media in terms of popularity overnight, the question is certainly being asked about who will emerge as “Facebook of VR.”
…
“We believe virtual reality will flourish once users have a more prominent role in controlling their creations. Currently, the companies that create the virtual worlds own all of the content built by the users. They are the ones who profit, reap the benefits from the network effects, and have the power to undo, change or censor what happens within the world itself. The true potential of VR might be realized, and certainly surpass what already exists, if this power were put into the hands of the users instead,” believes Ariel Meilich, founder of blockchain-based virtual platform Decentraland.

A blockchain is a digitized, decentralized public ledger of cryptocurrency transactions. Essentially each ‘block’ is like an individual bank statement. Completed ‘blocks’ (the most recent transactions) are added in chronological order allowing market participants to keep track of the transactions without the need for central record keeping. Just as Bitcoin eliminates the need for a third party to process or store payments, and isn’t regulated by a central authority, users in any blockchain structure are responsible for validating transactions whenever one party pays another for goods or services.

From DSC:
As this article reminded me, it’s the combination of two or more emerging technologies that will likely bring major innovation our way. Here’s another example of that same idea/concept.

Warby Parker Uses Face ID in iPhone X to Measure Your Face for Glasses — from mobile-ar.reality.news by Tommy Palladino

Excerpt:

Online glasses retailer Warby Parker built its reputation by selling fashionable yet affordable eyeglasses, so it perhaps a surprise that it’s one of the first developers to take advantage of the technology in the least affordable iPhone yet.

While other developers are making adjusting to their apps to account for the infamous camera notch, Warby Parker decided to update its Glasses app to directly leverage the Face ID facial recognition system. Now, in the updated version of the app, Glasses can measure the user’s face to estimate which frames will fit best.

Apple Is Ramping Up Work on AR Headset to Succeed iPhone — from bloomberg.com by Mark Gurman

Excerpt:

Apple Inc., seeking a breakthrough product to succeed the iPhone, aims to have technology ready for an augmented-reality headset in 2019 and could ship a product as early as 2020.

Unlike the current generation of virtual reality headsets that use a smartphone as the engine and screen, Apple’s device will have its own display and run on a new chip and operating system, according to people familiar with the situation. The development timeline is very aggressive and could still change, said the people, who requested anonymity to speak freely about a private matter.

“The power is that we can take the user anywhere in the entire universe throughout all of time for historical experiences like this.” (source)

AR navigation app promises better accuracy than GPS alone — from engadget.com by Jon Fingas
Walk the streets as if you had a local by your side.

Want to Really Teach a Robot? Command It With VR — from wired.com by Matt Simon

Excerpt:

Ask a robot to do the same and you’ll either get a blank stare or a crumpled object in the cold, cold grasp of a machine. Because robots are good at repetitive tasks that require a lot of strength, but they’re still bad at learning how to manipulate novel objects. Which is why today a company called Embodied Intelligence has emerged from stealth mode to fuse the strengths of robots and people into a new system that could make it far easier for regular folk to teach robots new tasks. Think of it like a VR videogame—only you get to control a hulking robot.

From DSC:
To remain up-to-date, Engineering Departments within higher ed have their work cut out for them — big time! Those Senior Engineering Teams have many new, innovative pathways and projects to pursue these days.

Daqri ships augmented reality smart glasses for professionals — from venturebeat.com by Dean Takahashi

Excerpt:

Daqri has begun shipping its augmented reality smart glasses for the workplace.

Los Angeles-based Daqri is betting that AR — a technology that overlays digital animations on top of the real world — will take off first in the enterprise, where customers are willing to pay a higher price in order to solve complex problems. The idea is to help people solve real-world problems, like fixing a jet engine or piecing together an assembly. Daqri argues that the gains in productivity and efficiency make up for the initial cost.

At $4,995, the system is not cheap, but it is optimized to present complex workloads and process a lot of data right on the glasses themselves. It is available for direct purchase from Daqri’s web site and through channel partners. Daqri is targeting customers across manufacturing, field services, maintenance and repair, inspections, construction, and others.

The NBA really wants you to watch games in VR — from cnet.com by Terry Collins
The basketball league has now struck two partnerships to broadcast games in virtual reality. Are fans willing to watch them?

Excerpt:

What’s keeping you from watching NBA games in VR?

Is it the bulky headsets? Is it the slow camera switches that don’t follow the players quickly enough? Is it too expensive?

The NBA is betting that one reason is it just doesn’t have enough partnerships yet. So, the league is teaming up with Turner Sports and Intel TrueVR to air weekly games on TNT in VR starting with the All-Star weekend festivities from Los Angeles in February.
russell-westbrook-alley-oop.jpg

NBA fans will soon be able to see more of MVP Russell Westbrook in virtual reality.
NBAE/Getty Images

This partnership represents a doubling down of NBA’s VR efforts, despite indications it isn’t actually working. Last year, the NBA began airing games with NextVR as part of a multiyear deal.

Microsoft: Here’s how Mixed Reality will aid information workers and boost digital transformation — from techrepublic.com by Alison DeNisco Rayome
At Microsoft Future Decoded, the tech giant explained how mixed reality can help workers and companies achieve more.

Excerpt:

The 3 big takeaways

At the Microsoft Future Decoded conference in London, executives from the tech giant offered a vision for integrating Microsoft 365, Microsoft HoloLens, Windows Mixed Reality, and 3D capabilities into modern workplaces to aid digital transformation.
Firstline workers and information workers will likely be the first to benefit from mixed reality in the workplace, using the technology for collaboration, training, and more.
Microsoft has made a number of moves into the mixed reality space recently, including expanding its HoloLens headset into new European markets.

10 really hard decisions coming our way — from gettingsmart.com by Tom Vander Ark

Excerpt (emphasis DSC):

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?

From DSC:
Some of the largest waves of change that are hitting the beaches of numerous societies throughout the globe are coming from technological changes such as:

Artificial intelligence (which includes things like machine learning, deep learning, natural language processing, personal assistants, bots, algorithms, and the like)
Big data and analytics
Robotics
The digital transformation of businesses
New forms of human computer interaction such as virtual reality, augmented reality and mixed reality
Mobile computing
Cloud computing
The Internet of Things
Wearables
…and more

But in all of these developments, what is common amongst them is that the pace of change has changed. It’s much faster now. In fact, we are no longer on a linear path of slow, steady, incremental changes. We are now on an exponential trajectory – or pace – of change.

This new pace of change is starting to have profound implications for societies, individuals, institutions of higher education, and workforces throughout the globe. Some of these ramifications include:

Profound modifications to the existing workforce; in some cases, staff reductions
New fields, new positions
New skillsets that require highly-educated individuals as well as a massive amount of additional training for existing employees
New methods of learning and the requirement for lifelong, constant learning from here on out
The need to become more responsive and nimble
The need to pulse-check a variety of landscapes to ascertain the best potential strategies to pursue (in light of the potential upcoming scenarios)

Yet the changes aren’t just arising from technological changes. For institutions of higher education, there have been other areas of change that bring with them significant impact, such as:

Decreases in state funding
The increasing costs of healthcare and benefits for faculty, staff, and administrators
Headwinds from demographic-related declines (depending upon one’s geographic location)
Aging facilities and infrastructures
…and more.

Navigating these rough waters is not easy. But the key questions now are:

Is your institution poised to ride the waves of change or is it about to get crushed by these same waves?

Is someone at your organization looking out for these oncoming waves?
That is, is someone pulse-checking a variety of landscapes to ascertain the trends that are developing, trends that could significantly impact your institution and/or your students?

What are some of the ways that your organization could respond to these waves of change to positively impact the following parties?
- Your organization
  What new programs could be offered at your institution? How is the level of responsiveness at your institution to these changes?
- Your students
  Many jobs that your students will have in their futures haven’t even been invented yet. How can you best develop them to be ready for the new, exponential pace of change? How are you helping your graduates who (increasingly) need to come back to your institution and reinvent themselves – quickly, conveniently, and cost-effectively?
- Your employees
  Given all of this change, the professional growth of your own faculty members, staff, and members of your administration is extremely important. How are you looking after their growth?

Would you use the word “innovative” to describe the culture of your organization? That is, is your institution willing to experiment and take some calculated risks? To take no action or risks in the current environment is likely the biggest risk of all.

For those seeking to be better communicators/leaders/servants, you need to check out “Communicate Like a True Leader”

On 10/17/2017, in 21st century, Amazon, analytics, Apple, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, bots, business, career development, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, community colleges, computer science, corporate / business world, Daniel S. Christian, emerging technologies, engineering, ethics, Facebook / Meta Platforms, global / globalization, hearts -- matters of the heart, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, leadership, liberal arts, marketing/social marketing, Michigan, Microsoft, morals/values, organizational change, pace of change, presentations, productivity / tips and tricks, professional development, relationships, robotics, society, student-related, teachers, teaching & learning, United States, universities, writing, by Daniel Christian

From DSC:
I know Quentin Schultze from our years working together at Calvin College, in Grand Rapids, Michigan (USA). I have come to greatly appreciate Quin as a person of faith, as an innovative/entrepreneurial professor, as a mentor to his former students, and as an excellent communicator.

Quin has written a very concise, wisdom-packed book that I would like to recommend to those people who are seeking to be better communicators, leaders, and servants. But I would especially like to recommend this book to the leadership at Google, Amazon, Apple, Microsoft, IBM, Facebook, Nvidia, the major companies developing robots, and other high-tech companies. Why do I list these organizations? Because given the exponential pace of technological change, these organizations — and their leaders — have an enormous responsibility to make sure that the technologies that they are developing result in positive changes for societies throughout the globe. They need wisdom, especially as they are working on emerging technologies such as Artificial Intelligence (AI), personal assistants and bots, algorithms, robotics, the Internet of Things, big data, blockchain and more. These technologies continue to exert an increasingly powerful influence on numerous societies throughout the globe today. And we haven’t seen anything yet! Just because we can develop and implement something, doesn’t mean that we should. Again, we need wisdom here.

But as Quin states, it’s not just about knowledge, the mind and our thoughts. It’s about our hearts as well. That is, we need leaders who care about others, who can listen well to others, who can serve others well while avoiding gimmicks, embracing diversity, building trust, fostering compromise and developing/exhibiting many of the other qualities that Quin writes about in his book. Our societies desperately need leaders who care about others and who seek to serve others well.

I highly recommend you pick up a copy of Quin’s book. There are few people who can communicate as much in as few words as Quin can. In fact, I wish that more writing on the web and more articles/research coming out of academia would be as concisely and powerfully written as Quin’s book, Communicate Like a True Leader: 30 Days of Life-Changing Wisdom.

To lead is to accept responsibility and act responsibly.
— Quentin Schultze

Global Human Capital Report 2017 [World Economic Forum]

On 09/18/2017, in 21st century, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, Canada, career development, collaboration, communications, corporate / business world, corporate universities / corporate training, creativity, design, economics, education, education reform, Europe, future, game-changing environment, generational differences, global / globalization, heutagogy, higher education, ideas, India, innovation, K-12 related, leadership, learning, learning ecosystem, lifelong learning, pace of change, reinvent, robotics, society, sociology, staying relevant, strategy, student-related, surviving, technology (general), training / L&D, trends, UK, United States, workplace, youth, by Daniel Christian

Global Human Capital Report 2017 — from the World Economic Forum

Excerpt from the Conclusion section (emphasis DSC):

Technological change and its impact on labour markets calls for a renewed focus on how the world’s human capital is invested in and leveraged for social well-being and economic prosperity for all. Many of today’s education systems are already disconnected from the skills needed to function in today’s labour markets and the exponential rate of technological and economic change is further increasing the gap between education and labour markets. Furthermore, the premise of current education systems is on developing cognitive skills, yet behavioural and non-cognitive skills that nurture an individual’s capacity to collaborate, innovate, self-direct and problem-solve are increasingly important. Current education systems are also time-compressed in a way that may not be suited to current or future labour markets. They force narrow career and expertise decisions in early youth. The divide between formal education and the labour market needs to be overcome, as learning, R&D, knowledge-sharing, retraining and innovation take place simultaneously throughout the work life cycle, regardless of the job, level or industry.

Insert from DSC…again I ask:

“Is is time to back up a major step and practice design thinking on the entire continuum of lifelong learning?”

Education delivery and financing mechanisms have gone through little change over the last decades. In many countries, many youth and children may find their paths constrained depending on the type of education they are able to afford, while others may not have access to even basic literacy and learning. On the other hand, many developed world education systems have made enormous increases in spending—with little explicit return. Early childhood education and teacher quality remain neglected areas in many developed and developing countries, despite their proven impact on learning outcomes. Both areas also suffer from lack of objective, global data.

Generational shifts also necessitate an urgent focus by governments on human capital investments, one that transcends political cycles. Ageing economies will face a historical first, as more and more of their populations cross into the 65 and over age group and their workforces shrink further, necessitating a better integration of youth, female workers, migrants and older workers. Many emerging economies face change of a different kind as a very large cohort of the next generation—one that is more connected and globalized than ever before—enters the workforce with very different aspirations, expectations and worldviews than their predecessors.

The expansion of the digital economy is accelerating the presence of a new kind of productive entity, somewhere between human capital and physical capital—robots and intelligent algorithms. As a result, some experts expect a potential reduction in the use of human labour as part of economic value creation while others expect a restructuring of the work done by people across economies but stable or growing overall levels of employment.¹⁹ Yet others have cautioned of the risks to economic productivity of technological reticence at the cost of realizing the raw potential of new technological advancements unfettered.²⁰ While in the immediate term the link between work and livelihoods remains a basic feature of our societies, the uncertainty around the shifts underway poses fundamental questions about the long-term future structure of economies, societies and work. However, for broad-based transition and successful adaptation towards any one of these or other long-term futures, strategic and deep investments in human capital will be even more—not less—important than before.

In an AI-powered world, what are potential jobs of the future? — from readwrite.com

Excerpt:

With virtual assistants answering our emails and robots replacing humans on manufacturing assembly lines, mass unemployment due to widespread automation seems imminent. But it is easy to forget amid our growing unease that these systems are not “all-knowing” and fully competent.

As many of us have observed in our interactions with artificial intelligence, these systems perform repetitive, narrowly defined tasks very well but are quickly stymied when asked to go off script — often to great comical effect. As technological advances eliminate historic roles, previously unimaginable jobs will arise in the new economic reality. We combine these two ideas to map out potential new jobs that may arise in the highly automated economy of 2030.

Despite many claims to the contrary, designing a fully autonomous system is incredibly complex and remains far out of reach. For now, training a human is still much cheaper than developing robot replacement.

From DSC:

Moving forward, perhaps one of the key values/deliverables that higher education will bring to the table will be helping people decide which of the jobs out there are “safe for now and/or into the next decade” and which jobs students should steer clear of (as such positions are already disappearing or will soon be disappearing — to be replaced by robotics, algorithms, AI, and such).*

Along these lines, Tom Vander Ark’s recent posting (below) is akin to what I’m talking about:

Staying Ahead of the Robots: What Grads Should Know and Be Able To Do

Check out this excerpt from Tom’s article:

A recent Pew report on the future of jobs concluded:

Machines are eating humans’ job talents. And it’s not just about jobs that are repetitive and low-skill. Automation, robotics, algorithms and artificial intelligence (AI) in recent times have shown they can do equal or sometimes even better work than humans who are dermatologists, insurance claims adjusters, lawyers, seismic testers in oil fields, sports journalists and financial reporters, crew members on guided-missile destroyers, hiring managers, psychological testers, retail salespeople, and border patrol agents. Moreover, there is growing anxiety that technology developments on the near horizon will crush the jobs of the millions who drive cars and trucks, analyze medical tests and data, perform middle management chores, dispense medicine, trade stocks and evaluate markets, fight on battlefields, perform government functions, and even replace those who program software – that is, the creators of algorithms.

Now if only we could get our accrediting methods/agencies up to speed (i.e., to become far more responsive), this could be a very valuable service to provide for prospective students in the future.

*Addendum added on 8/24/17 — a relevant quote from Cathy Engelbert, Deloitte’s CEO, on 8/22/17

We ultimately need to help today’s workers—drivers, factory workers, and beyond—discover where demand for skills will be in five to 10 years and help them gain the necessary expertise and experience to do them well. Historically, wholesale job retraining has been challenging to scale, but the inexorable nature of this transition demands that we try to help them be productive in an even more digitized world economy. We already have a skills gap; we need to figure out how to digitize and skill those workers to match them with the demand for available jobs. There is a collective dialogue that should be engaged now so we can create meaningful, fulfilling, and productive opportunities for all.

2017 Ed Tech Trends: The Halfway Point [Aldridge, Christian, Kelly, Powell, & Ventimiglia]

On 07/31/2017, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), bots, change, Daniel S. Christian, data related items, digital learning, education technology, emerging technologies, future, future of higher education, game-changing environment, Google, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, maker movement, robotics, society, student-related, tools, trends, universities, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, by Daniel Christian

2017 Ed Tech Trends: The Halfway Point — from campustechnology.com by Rhea Kelly
Four higher ed IT leaders weigh in on the current state of education technology and what’s ahead.

This article includes some perspectives shared from the following 4 IT leaders:

Susan Aldridge, Senior Vice President for Online Learning, Drexel University (PA); President, Drexel University Online
Daniel Christian, Adjunct Faculty Member, Calvin College
Marci Powell, CEO/President, Marci Powell & Associates; Chair Emerita and Past President, United States Distance Learning Association
Phil Ventimiglia, Chief Innovation Officer, Georgia State University

Also see:

Higher ed forges ahead on immersive tech integration – from educationdive.com by Pat Donachie

Robots and AI are going to make social inequality even worse, says new report [Vincent]

On 07/18/2017, in 21st century, adult learning, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, changing business models, colleges, community colleges, corporate / business world, corporate universities / corporate training, cost of getting a degree, dangers of the status quo, Daniel S. Christian, disruption, economics, education, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, learning, Learning from the Living [Class] Room, legislatures / government / legal, lifelong learning, marketplaces, organizational change, pace of change, platforms, professional development, reinvent, robotics, society, sociology, staying relevant, strategy, student-related, surviving, the downsides of how people use tech, traditional / tradition, training / L&D, trends, UK, United States, universities, vendors, vision/possibilities, workplace, youth, by Daniel Christian

Robots and AI are going to make social inequality even worse, says new report — from theverge.com by James Vincent
Rich people are going to find it easier to adapt to automation

Excerpt:

Most economists agree that advances in robotics and AI over the next few decades are likely to lead to significant job losses. But what’s less often considered is how these changes could also impact social mobility. A new report from UK charity Sutton Trust explains the danger, noting that unless governments take action, the next wave of automation will dramatically increase inequality within societies, further entrenching the divide between rich and poor.

The are a number of reasons for this, say the report’s authors, including the ability of richer individuals to re-train for new jobs; the rising importance of “soft skills” like communication and confidence; and the reduction in the number of jobs used as “stepping stones” into professional industries.

For example, the demand for paralegals and similar professions is likely to be reduced over the coming years as artificial intelligence is trained to handle more administrative tasks. In the UK more than 350,000 paralegals, payroll managers, and bookkeepers could lose their jobs if automated systems can do the same work.

Re-training for new jobs will also become a crucial skill, and it’s individuals from wealthier backgrounds that are more able to do so, says the report. This can already be seen in the disparity in terms of post-graduate education, with individuals in the UK with working class or poorer backgrounds far less likely to re-train after university.

From DSC:
I can’t emphasize this enough. There are dangerous, tumultuous times ahead if we can’t figure out ways to help ALL people within the workforce reinvent themselves quickly, cost-effectively, and conveniently. Re-skilling/up-skilling ourselves is becoming increasingly important. And I’m not just talking about highly-educated people. I’m talking about people whose jobs are going to be disappearing in the near future — especially people whose stepping stones into brighter futures are going to wake up to a very different world. A very harsh world.

That’s why I’m so passionate about helping to develop a next generation learning platform. Higher education, as an industry, has some time left to figure out their part/contribution out in this new world. But the window of time could be closing, as another window of opportunity / era could be opening up for “the next Amazon.com of higher education.”

It’s up to current, traditional institutions of higher education as to how much they want to be a part of the solution. Some of the questions each institution ought to be asking are:

Given our institutions mission/vision, what landscapes should we be pulse-checking?
Do we have faculty/staff/members of administration looking at those landscapes that are highly applicable to our students and to their futures? How, specifically, are the insights from those employees fed into the strategic plans of our institution?
What are some possible scenarios as a result of these changing landscapes? What would our response(s) be for each scenario?
Are there obstacles from us innovating and being able to respond to the shifting landscapes, especially within the workforce?
How do we remove those obstacles?
On a scale of 0 (we don’t innovate at all) to 10 (highly innovative), where is our culture today? Where do we hope to be 5 years from now? How do we get there?

…and there are many other questions no doubt. But I don’t think we’re looking into the future nearly enough to see the massive needs — and real issues — ahead of us.

The report, which was carried out by the Boston Consulting Group and published this Wednesday [7/12/17], looks specifically at the UK, where it says some 15 million jobs are at risk of automation. But the Sutton Trust says its findings are also relevant to other developed nations, particularly the US, where social mobility is a major problem.

Chatbot lawyer, which contested £7.2M in parking tickets, now offers legal help for 1,000+ topics [Sebastian Anthony]

On 07/14/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, bots, change, communications, computer science, disruption, game-changing environment, human-computer interaction (HCI), ideas, innovation, legislatures / government / legal, programming, robotics, society, UK, United States, by Daniel Christian

Chatbot lawyer, which contested £7.2M in parking tickets, now offers legal help for 1,000+ topics — from arstechnica.co.uk by Sebastian Anthony
DoNotPay has expanded to cover the UK and all 50 US states. Free legal help for everyone!

Excerpt:

In total, DoNotPay now has over 1,000 separate chatbots that generate formal-sounding documents for a range of basic legal issues, such as seeking remuneration for a delayed flight or train, reporting discrimination, or asking for maternity leave. If you divide that by 51 (US and UK) you get a rough idea of how many different topics are covered. Each bot had to be hand-crafted by the British creator Joshua Browder, with the assistance of part-time and volunteer lawyers to ensure that the the documents are actually fit for purpose.

British student’s free robot lawyer can fight speeding tickets and rogue landlords — from telegraph.co.uk by Cara McGoogan

Excerpt:

A free “robot lawyer” that has overturned thousands of parking tickets in the UK can now fight rogue landlords, speeding tickets and harassment at work.

Joshua Browder, the 20-year-old British student who created the aide, has upgraded the robot’s abilities so it can fight legal disputes in 1,000 different areas. These include fighting landlords over security deposits and house repairs, and helping people report fraud to their credit card agency.
…
To get robot advice, users type their problem into the DoNotPay site and it directs them to a chat bot that can solve their particular legal issue. It can draft letters and offer advice on problems from credit card fraud to airline compensation.

Free robot lawyer helps low-income people tackle more than 1,000 legal issues — from mashable.com by Katie Dupere

Excerpt:

Shady businesses, you’re on notice. This robot lawyer is coming after you if you play dirty.

Noted legal aid chatbot DoNotPay just announced a massive expansion, which will help users tackle issues in 1,000 legal areas entirely for free. The new features, which launched on Wednesday, cover consumer and workplace rights, and will be available in all 50 states and the UK.

While the bot will still help drivers contest parking tickets and refugees apply for asylum, the service will now also help those who want to report harassment in the workplace or who simply want a refund on a busted toaster.

From DSC:
Whereas this type of bot is meant for external communications/assistance, we should also watch for Work Bots within an organization — dishing up real-time answers to questions that employees have about a variety of topics. I think that’s the next generation of technical communications, technical/help desk support, as well as training and development groups (at least some of the staff in those departments will likely be building these types of bots).

Addendum on 7/15/17:

LawGeex: Contract Review Automation

Excerpt (emphasis DSC):

The LawGeex Contract Review Automation enables anyone in your business to easily submit and receive approvals on contracts without waiting for the legal team. Our A.I. technology reads, reviews and understands your contracts, approving those that meet your legal team’s pre-defined criteria, and escalating those that don’t. Legal can maintain control and mitigate risk while giving other departments the freedom they need to get business moving.

The case for a next generation learning platform [Grush & Christian]

On 07/11/2017, in 21st century, 24x7x365 access, A/V -- audio/visual, adult learning, Amazon, Artificial Intelligence/Agents/LLMs/and Related, attention, Blockchain, Bring your own device (BYOD), career development, change, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communications, communities of practice, community colleges, competency-based learning/education, convergence, corporate / business world, corporate universities / corporate training, cost of getting a degree, credentialing, Daniel S. Christian, digital audio, digital learning, digital storytelling, digital textbooks, digital video, disruption, distance education, education, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, future, future of higher education, game-changing environment, generational differences, global / globalization, heutagogy, higher education, history, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, internet, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, lifelong learning, machine-to-machine communications, Michigan, microlearning, mirroring and/or multiple devices, mobile learning, MOOCs -- Massive Open Online Courses, more voice more choice more control, multimedia, Natural Language Processing (NLP), Near Field Communication (NFC), new business models, new media literacies, online learning, online media, online tutoring, open courseware and systems, pace of change, passions, personalized/customized learning, platforms, professional development, reinvent, robotics, RSS, second screen apps, simulations, social learning / networks, society, staying relevant, storytelling, streams of content, student-related, surviving, teaching online, technologies for your home, technology (general), telepresence, television, tools, training / L&D, trends, TVs, universities, user experience (UX), using teams, vendors, videoconferencing, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, voice recognition / voice enabled interfaces, web-based collaboration, webinars, workplace, youth, by Daniel Christian

The case for a next generation learning platform — from campustechnology.com by Mary Grush & Daniel Christian

Excerpt (emphasis DSC):

Grush: Then what are some of the implications you could draw from metrics like that one?

Christian: As we consider all the investment in those emerging technologies, the question many are beginning to ask is, “How will these technologies impact jobs and the makeup of our workforce in the future?”

While there are many thoughts and questions regarding the cumulative impact these technologies will have on our future workforce (e.g., “How many jobs will be displaced?”), the consensus seems to be that there will be massive change.

Whether our jobs are completely displaced or if we will be working alongside robots, chatbots, workbots, or some other forms of AI-backed personal assistants, all of us will need to become lifelong learners — to be constantly reinventing ourselves. This assertion is also made in the aforementioned study from McKinsey: “AI promises benefits, but also poses urgent challenges that cut across firms, developers, government, and workers. The workforce needs to be re-skilled to exploit AI rather than compete with it…”

A side note from DSC:
I began working on this vision prior to 2010…but I didn’t officially document it until 2012.

Learning from the Living [Class] Room:

A global, powerful, next generation learning platform

What does the vision entail?

A new, global, collaborative learning platform that offers more choice, more control to learners of all ages – 24×7 – and could become the organization that futurist Thomas Frey discusses here with Business Insider:

“I’ve been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet,” Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider.

A learner-centered platform that is enabled by – and reliant upon – human beings but is backed up by a powerful suite of technologies that work together in order to help people reinvent themselves quickly, conveniently, and extremely cost-effectively
A customizable learning environment that will offer up-to-date streams of regularly curated content (i.e., microlearning) as well as engaging learning experiences
Along these lines, a lifelong learner can opt to receive an RSS feed on a particular topic until they master that concept; periodic quizzes (i.e., spaced repetition) determines that mastery. Once mastered, the system will ask the learner whether they still want to receive that particular stream of content or not.
A Netflix-like interface to peruse and select plugins to extend the functionality of the core product
An AI-backed system of analyzing employment trends and opportunities will highlight those courses and streams of content that will help someone obtain the most in-demand skills
A system that tracks learning and, via Blockchain-based technologies, feeds all completed learning modules/courses into learners’ web-based learner profiles
A learning platform that provides customized, personalized recommendation lists – based upon the learner’s goals
A platform that delivers customized, personalized learning within a self-directed course (meant for those content creators who want to deliver more sophisticated courses/modules while moving people through the relevant Zones of Proximal Development)
Notifications and/or inspirational quotes will be available upon request to help provide motivation, encouragement, and accountability – helping learners establish habits of continual, lifelong-based learning
(Potentially) An online-based marketplace, matching learners with teachers, professors, and other such Subject Matter Experts (SMEs)
(Potentially) Direct access to popular job search sites
(Potentially) Direct access to resources that describe what other companies do/provide and descriptions of any particular company’s culture (as described by current and former employees and freelancers)
(Potentially) Integration with one-on-one tutoring services

Further details here >>

Addendum from DSC (regarding the resource mentioned below):
Note the voice recognition/control mechanisms on Westinghouse’s new product — also note the integration of Amazon’s Alexa into a “TV.”

Westinghouse’s Alexa-equipped Fire TV Edition smart TVs are now available — from theverge.com by Chaim Gartenberg

The key selling point, of course, is the built-in Amazon Fire TV, which is controlled with the bundled Voice Remote and features Amazon’s Alexa assistant.

Finally…also see:

NASA unveils a skill for Amazon’s Alexa that lets you ask questions about Mars — from geekwire.com by Kevin Lisota
Holographic storytelling — from jwtintelligence.com
The stories of Holocaust survivors are brought to life with the help of interactive 3D technologies.
New Dimensions in Testimony is a new way of preserving history for future generations. The project brings to life the stories of Holocaust survivors with 3D video, revealing raw first-hand accounts that are more interactive than learning through a history book. Holocaust survivor Pinchas Gutter, the first subject of the project, was filmed answering over 1000 questions, generating approximately 25 hours of footage. By incorporating natural language processing from the USC Institute for Creative Technologies (ICT), people are able to ask Gutter’s projected image questions that trigger relevant responses.

Learning Ecosystems

DC: It’s the combination of 2+ emerging techs that will likely bring major innovation our way. 8 items on VR, AR, and MR.

Categories

Tags

Are we ready for a net loss of 7% of jobs in our workforce due to automation — *next year*? Last I checked, it was November 2017, and 2018 will be here before we know it.

***Are we ready for this?! ***

AS OF TODAY, can we reinvent ourselves fast enough given our current educational systems, offerings, infrastructures, and methods of learning?

My answer: No, we can’t. But we need to be able to — and very soon!

Learning from the Living [Class] Room:

Categories

Tags

**Are we ready for a net loss of 7% of jobs in our workforce due to automation — next year? Last I checked, it was November 2017, and 2018 will be here before we know it.**

Are we ready for this?!