Artificial Intelligence/Agents/LLMs/and Related

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

From DSC:
Reviewing the article below made me think of 2 potential additions to the Learning & Development Groups/Departments out there:

Help people build their own learning ecosystems
Design, develop, and implement workbots for self-service

Chatbots Poised to Revolutionize HR — from by Pratibha Nanduri

Excerpt:

Self-service is becoming an increasingly popular trend where people want to perform their tasks without needing help or input from anyone else. The increasing popularity of this trend is mainly attributed to the increasing use of computers and mobile devices to electronically manage all kinds of tasks.

As employee tolerance for downtime reduces and preferences for mobility increases, the bureaucracy which exists in managing everyday HR related tasks in the workplace will also have to be replaced. A large number of companies have still not automated even their basic HR services such as handling inquiries about holidays and leaves. Employees in such organizations still have to send their query and then wait for HR to respond.

As the number of employees goes up in an organization, the time taken by HR managers to respond to mundane admin tasks also increases. This leaves very little time for the HR manager to focus on strategic HR initiatives.

Chatbots that are powered by AI and machine learning are increasingly being used to automate mundane and repetitive tasks. They can also be leveraged in HR to simulate intelligent SMS-based conversations between employees and HR team members to automate basic HR tasks.

Trying to develop a general AI illustrates that some serious glory & honor is due (again)

On 07/22/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, computer science, Daniel S. Christian, faith, Google, human-computer interaction (HCI), programming, by Daniel Christian

Google’s AI Guru Says That Great Artificial Intelligence Must Build on Neuroscience — from technologyreview.com by Jamie Condliffe
Inquisitiveness and imagination will be hard to create any other way.

Excerpt:

Demis Hassabis knows a thing or two about artificial intelligence: he founded the London-based AI startup DeepMind, which was purchased by Google for $650 million back in 2014. Since then, his company has wiped the floor with humans at the complex game of Go and begun making steps towards crafting more general AIs.

But now he’s come out and said that be believes the only way for artificial intelligence to realize its true potential is with a dose of inspiration from human intellect.

Currently, most AI systems are based on layers of mathematics that are only loosely inspired by the way the human brain works. But different types of machine learning, such as speech recognition or identifying objects in an image, require different mathematical structures, and the resulting algorithms are only able to perform very specific tasks.

Building AI that can perform general tasks, rather than niche ones, is a long-held desire in the world of machine learning. But the truth is that expanding those specialized algorithms to something more versatile remains an incredibly difficult problem, in part because human traits like inquisitiveness, imagination, and memory don’t exist or are only in their infancy in the world of AI.

First, they say, better understanding of how the brain works will allow us to create new structures and algorithms for electronic intelligence.

From DSC:
Glory to God! I find it very interesting to see how people and organizations — via very significant costs/investments — keep trying to mimic the most amazing thing — the human mind. Turns out, that’s not so easy:

But the truth is that expanding those specialized algorithms to something more versatile remains an incredibly difficult problem…

Therefore, some scripture comes to my own mind here:

Psalm 139:14 New International Version (NIV)

¹⁴I praise you because I am fearfully and wonderfully made;
your works are wonderful,
I know that full well.

Job 12:13 (NIV)

¹³“To God belong wisdom and power;
counsel and understanding are his.

Psalm 104:24 (NIV)

²⁴How many are your works, Lord!
In wisdom you made them all;
the earth is full of your creatures.

Revelation 4:11 (NIV)

¹¹“You are worthy, our Lord and God,
    to receive glory and honor and power,
for you created all things,
    and by your will they were created
    and have their being.”

Yes, the LORD designed the human mind by His unfathomable and deep wisdom and understanding.

Glory to God!

Thanks be to God!

The Business of Artificial Intelligence — from hbr.org by Erik Brynjolfsson & Andrew McAfee

Excerpts (emphasis DSC):

The most important general-purpose technology of our era is artificial intelligence, particularly machine learning (ML) — that is, the machine’s ability to keep improving its performance without humans having to explain exactly how to accomplish all the tasks it’s given. Within just the past few years machine learning has become far more effective and widely available. We can now build systems that learn how to perform tasks on their own.

Why is this such a big deal? Two reasons. First, we humans know more than we can tell: We can’t explain exactly how we’re able to do a lot of things — from recognizing a face to making a smart move in the ancient Asian strategy game of Go. Prior to ML, this inability to articulate our own knowledge meant that we couldn’t automate many tasks. Now we can.

Second, ML systems are often excellent learners. They can achieve superhuman performance in a wide range of activities, including detecting fraud and diagnosing disease. Excellent digital learners are being deployed across the economy, and their impact will be profound.

In the sphere of business, AI is poised have a transformational impact, on the scale of earlier general-purpose technologies. Although it is already in use in thousands of companies around the world, most big opportunities have not yet been tapped. The effects of AI will be magnified in the coming decade, as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning. The bottleneck now is in management, implementation, and business imagination.

…

The machine learns from examples, rather than being explicitly programmed for a particular outcome.

Let’s start by exploring what AI is already doing and how quickly it is improving. The biggest advances have been in two broad areas: perception and cognition. …For instance, Aptonomy and Sanbot, makers respectively of drones and robots, are using improved vision systems to automate much of the work of security guards.

Machine learning is driving changes at three levels: tasks and occupations, business processes, and business models.

You may have noticed that Facebook and other apps now recognize many of your friends’ faces in posted photos and prompt you to tag them with their names.

Amazon’s Alexa passes 15,000 skills, up from 10,000 in February [Perez]

On 07/21/2017, in 24x7x365 access, Amazon, Artificial Intelligence/Agents/LLMs/and Related, Daniel S. Christian, human-computer interaction (HCI), ideas, learning, learning agents, learning ecosystem, learning preferences, lifelong learning, Natural Language Processing (NLP), online media, online tutoring, personalized/customized learning, platforms, voice recognition / voice enabled interfaces, by Daniel Christian

Amazon’s Alexa passes 15,000 skills, up from 10,000 in February — from techcrunch.com by Sarah Perez

Excerpt:

Amazon’s Alexa voice platform has now passed 15,000 skills — the voice-powered apps that run on devices like the Echo speaker, Echo Dot, newer Echo Show and others. The figure is up from the 10,000 skills Amazon officially announced back in February, which had then represented a 3x increase from September.

The new 15,000 figure was first reported via third-party analysis from Voicebot, and Amazon has now confirmed to TechCrunch that the number is accurate.

According to Voicebot, which only analyzed skills in the U.S., the milestone was reached for the first time on June 30, 2017. During the month of June, new skill introductions increased by 23 percent, up from the less than 10 percent growth that was seen in each of the prior three months.

The milestone also represents a more than doubling of the number of skills that were available at the beginning of the year, when Voicebot reported there were then 7,000 skills. That number was officially confirmed by Amazon at CES.

From DSC:
Again, I wonder…what are the implications for learning from this new, developing platform?

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.

AI is making it extremely easy for students to cheat — from wired.com by Pippa Biddle

Excerpt (emphasis DSC):

For years, students have turned to CliffsNotes for speedy reads of books, SparkNotes to whip up talking points for class discussions, and Wikipedia to pad their papers with historical tidbits. But today’s students have smarter tools at their disposal—namely, Wolfram|Alpha, a program that uses artificial intelligence to perfectly and untraceably solve equations. Wolfram|Alpha uses natural language processing technology, part of the AI family, to provide students with an academic shortcut that is faster than a tutor, more reliable than copying off of friends, and much easier than figuring out a solution yourself.

Use of Wolfram|Alpha is difficult to trace, and in the hands of ambitious students, its perfect solutions are having unexpected consequences.

McKinsey’s State Of Machine Learning & AI, 2017 [Columbus]

On 07/16/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, Asia, Google, human-computer interaction (HCI), IBM, trends, United States, vendors, by Daniel Christian

McKinsey’s State Of Machine Learning & AI, 2017 — from forbes.com by Louis Columbus

Excerpts:

Tech giants including Baidu and Google spent between $20B to $30B on AI in 2016, with 90% of this spent on R&D and deployment, and 10% on AI acquisitions.
Artificial Intelligence (AI) investment has turned into a race for patents and intellectual property (IP) among the world’s leading tech companies.
U.S.-based companies absorbed 66% of all AI investments in 2016. China was second with 17% and growing fast.
By providing better search results, Netflix estimates that it is avoiding canceled subscriptions that would reduce its revenue by $1B annually.

These and other findings are from the McKinsey Global Institute Study, and discussion paper, Artificial Intelligence, The Next Digital Frontier (80 pp., PDF, free, no opt-in) published last month. McKinsey Global Institute published an article summarizing the findings titled How Artificial Intelligence Can Deliver Real Value To Companies. McKinsey interviewed more than 3,000 senior executives on the use of AI technologies, their companies’ prospects for further deployment, and AI’s impact on markets, governments, and individuals. McKinsey Analytics was also utilized in the development of this study and discussion paper.

Video: 4 FAQs about Watson as tutor [Nitta]

On 07/15/2017, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, community colleges, computer science, education, education technology, elearning, emerging technologies, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), IBM, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, internet, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, MOOCs -- Massive Open Online Courses, Natural Language Processing (NLP), personalized/customized learning, platforms, professional development, programming, universities, user experience (UX), vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

Video: 4 FAQs about Watson as tutor — from er.educause.edu by Satya Nitta

Excerpt:

How is IBM using Watson’s intelligent tutoring system? So we are attempting to mimic the best practices of human tutoring. The gold standard will always remain one on one human to human tutoring. The whole idea here is an intelligent tutoring system as a computing system that works autonomously with learners, so there is no human intervention. It’s basically pretending to be the teacher itself and it’s working with the learner. What we’re attempting to do is we’re attempting to basically put conversational systems, systems that understand human conversation and dialogue, and we’re trying to build a system that, in a very natural way, interacts with people through conversation. The system basically has the ability to ask questions, to answer questions, to know who you are and where you are in your learning journey, what you’re struggling with, what you’re strong on and it will personalize its pedagogy to you.

…

There’s a natural language understanding system and a machine learning system that’s trying to figure out where you are in your learning journey and what the appropriate intervention is for you. The natural language system enables this interaction that’s very rich and conversation-based, where you can basically have a human-like conversation with it and, to a large extent, it will try to understand and to retrieve the right things for you. Again the most important thing is that we will set the expectations appropriately and we have appropriate exit criteria for when the system doesn’t actually understand what you’re trying to do.

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.

Are we at the start of the fourth tectonic shift in technology? These folks think so.

On 07/12/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, change, computer science, emerging technologies, ideas, innovation, intelligent systems, internet, IT in HE, platforms, technology (general), trends, vendors, by Daniel Christian

Intel seen losing to Nvidia amid ‘tectonic shift’ in technology — from marketwatch.com by Jeremy Owens

Excerpts (emphasis DSC):

Computing is undergoing a massive shift, and the company known for making the brains behind many of the world’s computers and servers has not shifted as fast as competitors.

Jefferies equity analyst Mark Lipacis came to that conclusion Monday, reporting in a note that Intel Corp. stands to take a hit in its data-center business amid a move to a new computing paradigm focused on artificial intelligence and connected devices that he believes represents a “tectonic shift” in technology. Instead, Nvidia Corp. is best-positioned to be the chip leader in the new landscape, Lipacis wrote.
…
Lipacis’s thesis on the semiconductor industry is that computing paradigms undergo dramatic shifts roughly every 15 years, with mainframe-focused technology giving way to minicomputers and then personal computers, and later to mobile phones and cloud data-center architecture. While Intel was a dominant player in the second and third epochs of the computing era, with its chips finding a home in PCs and data-center servers, Lipacis believes the current shift to parallel processing and the so-called Internet of Things will belong to different chip makers.
…
“We believe we are at the start of the fourth tectonic shift now, to a parallel processing/IoT model, driven by lower memory costs, free data storage, improvements in parallel processing hardware and software, and improvements in AI technologies like neural networking, that make it easy to monetize all the data that is being stored,” he wrote.

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.

The Internet’s future is more fragile than ever, says one of its inventors [Captain]

On 07/10/2017, in Artificial Intelligence/Agents/LLMs/and Related, ethics, future, game-changing environment, global / globalization, ideas, innovation, intelligent systems, internet, IT in HE, machine-to-machine communications, morals/values, society, the downsides of how people use tech, workplace, by Daniel Christian

The Internet’s future is more fragile than ever, says one of its inventors — from fastcompany.com by Sean Captain
Vint Cerf, the co-creator of tech that makes the internet work, worries about hacking, fake news, autonomous software, and perishable digital history.

Excerpts:

The term “digital literacy” is often referred to as if you can use a spreadsheet or a text editor. But I think digital literacy is closer to looking both ways before you cross the street. It’s a warning to think about what you’re seeing, what you’re hearing, what you’re doing, and thinking critically about what to accept and reject . . . Because in the absence of this kind of critical thinking, it’s easy to see how the phenomena that we’re just now labeling fake news, alternative facts [can come about]. These [problems] are showing up, and they’re reinforced in social media.
…
What are the criteria that we should apply to devices that are animated by software, and which we rely upon without intervention? And this is the point where autonomous software becomes a concern, because we turn over functionality to a piece of code. And dramatic examples of that are self-driving cars . . . Basically you’re relying on software doing the right things, and if it doesn’t do the right thing, you have very little to say about it.

I feel like we’re moving into a kind of fragile future right now that we should be much more thoughtful about improving, that is to say making more robust.

Imagine a house that stops working when the internet connection goes away. That’s not acceptable.

Everyday Life in the Future [Bolwell]

On 07/05/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, business, economics, emerging technologies, entrepreneurship, future, global / globalization, health, human-computer interaction (HCI), ideas, pace of change, society, trends, by Daniel Christian

Everyday Life in the Future — from hpmegatrends.com by Andrew Bolwell

Technology will play an increasingly vital role in our lives as we move into the future. Four major Megatrends — Rapid Urbanization, Changing Demographics, Hyper Globalization, and Accelerated Innovation — will have a sustained and transformative impact on businesses, societies, economies, cultures, and our personal lives.

Day in The Life | 2025 from Andrew Bolwell

DC: We had better begin working immediately on a next generation learning platform — before the other tidal waves start hitting the beach

On 07/05/2017, in 21st century, accreditation, Artificial Intelligence/Agents/LLMs/and Related, career development, change, changing business models, cloud-based computing / apps / other cloud-related, CMS/LMS, corporate / business world, corporate universities / corporate training, cost of getting a degree, credentialing, dangers of the status quo, Daniel S. Christian, data related items, disruption, future, future of higher education, game-changing environment, global / globalization, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, internet, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, legislatures / government / legal, lifelong learning, microlearning, online learning, pace of change, personalized/customized learning, platforms, professional development, reinvent, robotics, society, staying relevant, streams of content, surviving, trends, by Daniel Christian

From DSC:
With the ever increasing usage of artificial intelligence, algorithms, robotics, and automation, people are going to need to reinvent themselves quickly, cost-effectively, and conveniently. As such, we had better begin working immediately on a next generation learning platform — before the other tidal waves start hitting the beach. “What do you mean by saying ‘other tidal waves’ — what tidal waves are you talking about anyway?” one might ask.

Well….here’s one for you:

New Report Predicts Over 100,000 Legal Jobs Will Be Lost To Automation — from futurism.com by Jelor Gallego
An extensive new analysis by Deloitte estimates that over 100,000 jobs will be lost to technological automation within the next two decades. Increasing technological advances have helped replace menial roles in the office and do repetitive tasks

From DSC:
I realize that not all of this is doom and gloom. There will be jobs lost and there will be jobs gained. A point also made by MIT futurists Andrew McAfee and Erik Brynjolfsson in a recent podcast entitled, “Want to stay relevant? Then listen up” (in which they explain the momentous technological changes coming next–and what you can do to harness them).

But the point is that massive reinvention is going to be necessary. Traditional institutions of higher education — as well as the current methods of accreditation — are woefully inadequate to address the new, exponential pace of change.

Here’s my take on what it’s going to take to deliver constantly up-to-date streams of relevant content at an incredibly affordable price.

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