robotics

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.

Four futurists weigh in on the jobs of the future — from impactlab.com by Thomas Frey

In today’s tech world, often it’s a “winner takes all” situation

On 06/27/2017, in Amazon, analytics, Apple, Artificial Intelligence/Agents/LLMs/and Related, Asia, Augmented Reality (AR), Australia, Blockchain, bots, Canada, change, changing business models, cloud-based computing / apps / other cloud-related, collaboration, communications, computer science, corporate / business world, data related items, disruption, education, education technology, emerging technologies, engineering, entrepreneurship, Europe, Facebook / Meta Platforms, global / globalization, Google, health, human-computer interaction (HCI), ideas, India, innovation, machine-to-machine communications, Microsoft, music, Natural Language Processing (NLP), platforms, reinvent, robotics, social media, staying relevant, surviving, technology (general), trends, United States, vendors, Virtual Reality (VR) / worlds / learning, voice recognition / voice enabled interfaces, web-based collaboration, workplace, by Daniel Christian

Winner takes all — from by Michael Moe, Luben Pampoulov, Li Jiang, Nick Franco, & Suzee Han

We did a lot of things that seemed crazy at the time. Many of those crazy things now have over a billion users, like Google Maps, YouTube, Chrome, and Android.

— Larry Page, CEO, Alphabet

Excerpt:

An alphabet is a collection of letters that represent language. Alphabet, accordingly, is a collection of companies that represent the many bets Larry Page is making to ensure his platform is built to not only survive, but to thrive in a future defined by accelerating digital disruption. It’s an “Alpha” bet on a diversified platform of assets.

If you look closely, the world’s top technology companies are making similar bets.

Technology in general and the Internet in particular is all about a disproportionate gains to the leader in a category. Accordingly, as technology leaders like Facebook, Alphabet, and Amazon survey the competitive landscape, they have increasingly aimed to develop and acquire emerging technology capabilities across a broad range of complementary categories.

What a future, powerful, global learning platform will look & act like [Christian]

On 06/22/2017, in 21st century, 24x7x365 access, A/V -- audio/visual, accessibility / UDL, adult learning, Amazon, analytics, Apple, Artificial Intelligence/Agents/LLMs/and Related, assessment, assistive technologies, attention, Augmented Reality (AR), Blockchain, blogs / blogging / vlogging, bots, Bring your own device (BYOD), business side of he, career development, change, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communications, communities of practice, community colleges, competency-based learning/education, computer science, content development, aggregation, repositories, convergence, corporate / business world, corporate universities / corporate training, cost of getting a degree, credentialing, Daniel S. Christian, data related items, digital audio, digital learning, digital textbooks, digital video, disruption, distance education, education, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, Facebook / Meta Platforms, future, future of higher education, game-changing environment, global / globalization, Google, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), IBM, ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, internet, K-12 related, languages and translation, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, liberal arts, lifelong learning, love of learning, machine-to-machine communications, microlearning, Microsoft, mobile learning, more voice more choice more control, multimedia, Natural Language Processing (NLP), Near Field Communication (NFC), new business models, online learning, online media, online tutoring, participation, personalized/customized learning, platforms, professional development, reinvent, robotics, RSS, second screen apps, simulations, smart classrooms, social learning / networks, society, staying relevant, streams of content, student-related, surviving, tablets, teaching & learning, teaching online, technologies for your home, technology (general), telepresence, television, tools, training / L&D, TVs, universities, user experience (UX), using teams, vendors, videoconferencing, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, voice recognition / voice enabled interfaces, web-based collaboration, webinars, workplace, by Daniel Christian

Learning from the Living [Class] Room:
A vision for a global, powerful, next generation learning platform

By Daniel Christian

NOTE: Having recently lost my Senior Instructional Designer position due to a staff reduction program, I am looking to help build such a platform as this. So if you are working on such a platform or know of someone who is, please let me know: danielchristian55@gmail.com.

I want to help people reinvent themselves quickly, efficiently, and cost-effectively — while providing more choice, more control to lifelong learners. This will become critically important as artificial intelligence, robotics, algorithms, and automation continue to impact the workplace.

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
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)

Further details:
While basic courses will be accessible via mobile devices, the optimal learning experience will leverage two or more displays/devices. So while smaller smartphones, laptops, and/or desktop workstations will be used to communicate synchronously or asynchronously with other learners, the larger displays will deliver an excellent learning environment for times when there is:

A Subject Matter Expert (SME) giving a talk or making a presentation on any given topic
A need to display multiple things going on at once, such as:
The SME(s)
An application or multiple applications that the SME(s) are using
Content/resources that learners are submitting in real-time (think Bluescape, T1V, Prysm, other)
The ability to annotate on top of the application(s) and point to things w/in the app(s)
Media being used to support the presentation such as pictures, graphics, graphs, videos, simulations, animations, audio, links to other resources, GPS coordinates for an app such as Google Earth, other
Other attendees (think Google Hangouts, Skype, Polycom, or other videoconferencing tools)
An (optional) representation of the Personal Assistant (such as today’s Alexa, Siri, M, Google Assistant, etc.) that’s being employed via the use of Artificial Intelligence (AI)

This new learning platform will also feature:

Voice-based commands to drive the system (via Natural Language Processing (NLP))
Language translation (using techs similar to what’s being used in Translate One2One, an earpiece powered by IBM Watson)
Speech-to-text capabilities for use w/ chatbots, messaging, inserting discussion board postings
Text-to-speech capabilities as an assistive technology and also for everyone to be able to be mobile while listening to what’s been typed
Chatbots
- For learning how to use the system
- For asking questions of – and addressing any issues with – the organization owning the system (credentials, payments, obtaining technical support, etc.)
- For asking questions within a course
As many profiles as needed per household
(Optional) Machine-to-machine-based communications to automatically launch the correct profile when the system is initiated (from one’s smartphone, laptop, workstation, and/or tablet to a receiver for the system)
(Optional) Voice recognition to efficiently launch the desired profile
(Optional) Facial recognition to efficiently launch the desired profile
(Optional) Upon system launch, to immediately return to where the learner previously left off
The capability of the webcam to recognize objects and bring up relevant resources for that object
A built in RSS feed aggregator – or a similar technology – to enable learners to tap into the relevant “streams of content” that are constantly flowing by them
Social media dashboards/portals – providing quick access to multiple sources of content and whereby learners can contribute their own “streams of content”

In the future, new forms of Human Computer Interaction (HCI) such as Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) will be integrated into this new learning environment – providing entirely new means of collaborating with one another.

Likely players:

Amazon – personal assistance via Alexa
Apple – personal assistance via Siri
Google – personal assistance via Google Assistant; language translation
Facebook — personal assistance via M
Microsoft – personal assistance via Cortana; language translation
IBM Watson – cognitive computing; language translation
Polycom – videoconferencing
Blackboard – videoconferencing, application sharing, chat, interactive whiteboard
T1V, Prsym, and/or Bluescape – submitting content to a digital canvas/workspace
Samsung, Sharp, LCD, and others – for large displays with integrated microphones, speakers, webcams, etc.
Feedly – RSS aggregator
_________ – for providing backchannels
_________ – for tools to create videocasts and interactive videos
_________ – for blogs, wikis, podcasts, journals
_________ – for quizzes/assessments
_________ – for discussion boards/forums
_________ – for creating AR, MR, and/or VR-based content

From DSC:
Given the increasing use of robotics, automation, and artificial intelligence…how should the question of “What sort of education will you need to be employable in the future?” impact what’s being taught within K-12 & within higher education? Should certain areas within higher education, for example, start owning this research, as well as the strategic planning and whether changes are needed to the core curricula for this increasingly important trend?

The future’s coming at us fast — perhaps faster than we think. It seems prudent to work through some potential scenarios and develop plans for those various scenarios now, rather than react to this trend at some point in the future. If we wait, we’ll be trying to “swim up the backside of the wave” as my wise and wonderful father-in-law would say.

The above reflections occurred after I reviewed the posting out at cmrubinworld.com (with thanks to @STEMbyThomas for this resource):

The Global Search for Education: What Does My Robot Think?
Excerpt:
The Global Search for Education is pleased to welcome Ling Lee, Co-Curator of Robots and the Contemporary Science Manager for Exhibitions at the Science Museum in London, to discuss the impact of robots on our past and future.

3 trends that will disrupt your workplace forever — from gallup.com by Andrew Dugan and Bailey Nelson

Excerpts (emphasis DSC):

The AI revolution is here, and leaders are unprepared for its impact on employee engagement.
…
According to Gallup’s analysis, millennials are the generation most vulnerable to the threat of AI and automation, as they are disproportionately more likely to hold positions that Frey and Osborne estimate as having a strong likelihood to one day be replaced by this new technology. Nearly four in 10 millennials (37%) are at high risk of having their job replaced by automation, compared with 32% of those in the two older generations.

To proactively manage employees through the reality of AI integrating into their work environment, leaders need to better understand the nuances of the emotional toll that replacement risk takes on employees. For instance, Gallup finds that 34% of millennials whose jobs are at “medium” or “high” risk for robotic replacement say they are worried about either losing their job or having their job outsourced, compared with 27% of older generations — a statistically significant difference.

Robot students? College classrooms try letting far-away students attend via remote-control stand-in — from edsurge.com by Sydney Johnson

Excerpt:

Someone looking in on Bill McCaw’s educational leadership class at the University of Montana might see students talking in small groups, or peers helping each other on assignments. It’s an age-old classroom scene, except for one space-age detail: More than half of the students are robots.

Ok, to be more precise, nine of the fourteen students in the course are joining the class remotely by using a robot stand-in. The hope is that the approach will let students, who are working professionals, join from hundreds of miles away and feel more a part of the group than would be possible with standard videoconference links.

“The space in Montana is huge. That’s why this is really important for us,” says McCaw.

From DSC:
I appreciate the level of experimentation that’s going on here — it’s stretching the existing paradigms and asking how we might bring in remote learners into our face-to-face based classrooms. This is one approach.

Another approach uses tool like the ones below — which make having students be in the same physical learning space less important:

From DSC:
I appreciate the innovative work of Dr. Susan Aldridge and Marci Powell; check the Virtually Inspired site out for some examples of what I’m talking about.

Data mining & the use of AI for hiring will only pick up steam from here on out. Plus other items re: AI.

On 04/28/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, career development, change, Daniel S. Christian, data related items, emerging technologies, Google, Microsoft, robotics, society, sociology, student-related, surviving, trends, vendors, workplace, youth, by Daniel Christian

4 Ways Technology Is Changing Recruiting — from blog.hrtechweekly.com by Ji-A Min

Excerpt:

AI for recruiting
Industry statistics estimate 75 percent of resumes received for a role are screened out. This adds up to the hundreds of hours a recruiter wastes reading unqualified resumes per year. As one of recruiting’s biggest bottlenecks, resume screening is in dire need of better tools to help recruiters manage their time more effectively. This is why AI for recruiting is the biggest topic in HR tech right now. AI and recruiting are a natural fit because AI requires a lot of data to learn and large companies often have millions of resumes in their ATS.

Recruiting software that uses artificial intelligence can automate the screening process by learning the experience, skills, and qualifications required for the job and then shortlisting, ranking, and grading new candidates who match the requirements (e.g., from A to D). This type of AI recruiting software can also be used to source candidates from external databases such as Indeed and CareerBuilder or find previous candidates in your existing ATS database by applying the same learning ability to match candidates to an open req. By automating the manual processes of resume screening and candidate matching, companies who use AI recruiting software have reduced their screening costs by 75%.

Comment from DSC:
This is exactly why I tell my students to be sure they have an account on LinkedIn — which is owned by Microsoft. A piece of Microsoft will likely traverse down the AI-based pathway. (I also encourage them to have other pieces of their digital/online-based footprint such as an account on Twitter as well as their own WordPress-based blog). Data mining and the use of AI for hiring will only pick up steam from here on out. If you don’t exist online, you had better have a lot of contacts and foots in the doors elsewhere.

Today more than ever, finding top talent will depend on a recruiter’s ability to intelligently automate their workflow.

Google is shifting their focus from Search to artificial intelligence, CEO says — from zmescience.com by

Excerpt:

While delivering Google’s first quarterly income report on Thursday, the company’s CEO said that Google is transitioning — the search-engine giant will become an A.I.-first company.

“We continue to set the pace in machine learning and A.I. research,” said Google CEO Sundar Pichai said in a call [embedded at the end of the article] to investors on Thursday to report the company’s Q1 2017 earnings.

“We’re transitioning to an A.I.-first company.”

A revolutionary partnership: How artificial intelligence is pushing man and machine closer together — from pcw.com

Excerpt:

With more than $5 billion in 605 deals of VC investment over last 2 years, artificial intelligence (AI) is poised to have a transformative effect on consumer, enterprise, and government markets around the world. While there are certainly obstacles to overcome, consumers believe that AI has the potential to assist in medical breakthroughs, democratize costly services, elevate poor customer service, and even free up an overburdened workforce. We dug deeper into those perceptions through an online survey of consumers and business decision makers, and an expert salon with thought leaders in the field. This original research unpacks key ways AI may impact our world, delving into its implications for society, service, and management.

Also see:

AI has the potential to become a great equalizer. More than half of consumers believe AI will provide educational help to disadvantaged schoolchildren. Over 40% also believe AI will expand access to financial, medical, legal, and transportation services to those with lower incomes.

Consumers also see the value in sharing their personal information for the greater good: 62% would share their data to help relieve traffic in their cities and 57% would do so to further medical breakthroughs.

Making sure the machines don’t take over [Frary]

On 04/24/2017, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, career development, change, Daniel S. Christian, emerging technologies, higher education, human-computer interaction (HCI), ideas, liberal arts, robotics, surviving, the downsides of how people use tech, trends, UK, United States, workplace, by Daniel Christian

Making sure the machines don’t take over — from raconteur.net by Mark Frary
Preparing economic players for the impact of artificial intelligence is a work in progress which requires careful handling

From DSC:
This short article presents a balanced approach, as it relays both the advantages and disadvantages of AI in our world.

Perhaps it will be one of higher education’s new tasks — to determine the best jobs to go into that will survive the next 5-10+ years and help you get up-to-speed in those areas. The liberal arts are very important here, as they lay a solid foundation that one can use to adapt to changing conditions and move into multiple areas. If the C-suite only sees the savings to the bottom line — and to *&^# with humanity (that’s their problem, not mine!) — then our society could be in trouble.

Also see:

Find Out If a Robot Will Take Your Job — from time.com by David Johnson

What are the ramifications for higher education re: the massive changes beginning to take place due to AI, automation, & robotics?

On 04/13/2017, in 21st century, accreditation, adult learning, Artificial Intelligence/Agents/LLMs/and Related, business, business side of he, career development, change, changing business models, colleges, communities of practice, community colleges, corporate / business world, dangers of the status quo, Daniel S. Christian, emerging technologies, future, future of higher education, game-changing environment, global / globalization, heutagogy, higher education, human-computer interaction (HCI), ideas, innovation, leadership, learning, learning ecosystem, learning hubs & pods & microschooling, legislatures / government / legal, lifelong learning, Michigan, microlearning, MOOCs -- Massive Open Online Courses, more voice more choice more control, new business models, online learning, pace of change, passions, reinvent, robotics, society, staying relevant, strategy, student-related, surviving, technologies for your home, the downsides of how people use tech, traditional / tradition, training / L&D, trends, United States, universities, vision/possibilities, workplace, youth, by Daniel Christian

From DSC:
The recent pieces below made me once again reflect on the massive changes that are quickly approaching — and in some cases are already here — for a variety of nations throughout the world.

They caused me to reflect on:

What the potential ramifications for higher education might be regarding these changes that are just starting to take place in the workplace due to artificial intelligence (i.e., the increasing use of algorithms, machine learning, and deep learning, etc.), automation, & robotics?
The need for people to reinvent themselves quickly throughout their careers (if we can still call them careers)
How should we, as a nation, prepare for these massive changes so that there isn’t civil unrest due to soaring inequality and unemployment?

As found in the April 9th, 2017 edition of our local newspaper here:

When even our local newspaper is picking up on this trend, you know it is real and has some significance to it.

Then, as I was listening to the radio a day or two after seeing the above article, I heard of another related piece on NPR. NPR is having a journalist travel across the country, trying to identify “robot-safe” jobs. Here’s the feature on this from MarketPlace.org

What changes do institutions of traditional higher education
immediately need to begin planning for? Initiating?

What changes should be planned for and begin to be initiated
in the way(s) that we accredit new programs?

Keywords/ideas that come to my mind:

Change — to society, to people, to higher ed, to the workplace
Pace of technological change — no longer linear, but exponential
Career development
Staying relevant — as institutions, as individuals in the workplace
Reinventing ourselves over time — and having to do so quickly
Adapting, being nimble, willing to innovate — as institutions, as individuals
Game-changing environment
Lifelong learning — higher ed needs to put more emphasis on microlearning, heutagogy, and delivering constant/up-to-date streams of content and learning experiences. This could happen via the addition/use of smaller learning hubs, some even makeshift learning hubs that are taking place at locations that these institutions don’t even own…like your local Starbucks.
If we don’t get this right, there could be major civil unrest as inequality and unemployment soar
Traditional institutions of higher education have not been nearly as responsive to change as they have needed to be; this opens the door to alternatives. There’s a limited (and closing) window of time left to become more nimble and responsive before these alternatives majorly disrupt the current world of higher education.

Addendum from the corporate world (emphasis DSC):

From The Impact 2017 Conference:

The Role of HR in the Future of Work – A Town Hall

Josh Bersin, Principal and Founder, Bersin by Deloitte, Deloitte Consulting LLP
Nicola Vogel, Global Senior HR Director, Danfoss
Frank Møllerop, Chief Executive Officer, Questback
David Mallon, Head of Research, Bersin by Deloitte, Deloitte Consulting LLP

Massive changes spurred by new technologies such as artificial intelligence, mobile platforms, sensors and social collaboration have revolutionized the way we live, work and communicate – and the pace is only accelerating. Robots and cognitive technologies are making steady advances, particularly in jobs and tasks that follow set, standardized rules and logic. This reinforces a critical challenge for business and HR leaders—namely, the need to design, source, and manage the future of work.

In this Town Hall, we will discuss the role HR can play in leading the digital transformation that is shaping the future of work in organizations worldwide. We will explore the changes we see taking place in three areas:

Digital workforce: How can organizations drive new management practices, a culture of innovation and sharing, and a set of talent practices that facilitate a new network-based organization?
Digital workplace: How can organizations design a working environment that enables productivity; uses modern communication tools (such as Slack, Workplace by Facebook, Microsoft Teams, and many others); and promotes engagement, wellness, and a sense of purpose?
Digital HR: How can organizations change the HR function itself to operate in a digital way, use digital tools and apps to deliver solutions, and continuously experiment and innovate?

The 82 Hottest EdTech Tools of 2017 According to Education Experts [Cassella; tutora.co.uk]

On 04/06/2017, in 21st century, 3D, adjunct faculty, analytics, animation, Artificial Intelligence/Agents/LLMs/and Related, assessment, Augmented Reality (AR), Australia, blogs / blogging / vlogging, bots, business side of he, Canada, change, chemistry, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, community colleges, computer science, creativity, Daniel S. Christian, digital audio, digital learning, digital photography, digital video, e-books, e-publishing related items (EPUB and more), education technology, educational games / serious games, emerging technologies, engagement / engaging students, Europe, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), India, innovation, interactivity, internet, K-12 related, languages and translation, learning, learning ecosystem, maker movement, mathematics, media/film, memory, mobile learning, multimedia, online learning, participation, pedagogy, platforms, play, productivity / tips and tricks, programming, robotics, science, story, storytelling, student teaching/teacher education, student-related, teachers, technologies for your home, tools, UK, United States, universities, vendors, virtual field trips, Virtual Reality (VR) / worlds / learning, writing, youth, by Daniel Christian

The 82 Hottest EdTech Tools of 2017 According to Education Experts — from tutora.co.uk by Giorgio Cassella

Excerpt:

If you work in education, you’ll know there’s a HUGE array of applications, services, products and tools created to serve a multitude of functions in education.

Tools for teaching and learning, parent-teacher communication apps, lesson planning software, home-tutoring websites, revision blogs, SEN education information, professional development qualifications and more.

There are so many companies creating new products for education, though, that it can be difficult to keep up – especially with the massive volumes of planning and marking teachers have to do, never mind finding the time to actually teach!

So how do you know which ones are the best?

Well, as a team of people passionate about education and learning, we decided to do a bit of research to help you out.

We’ve asked some of the best and brightest in education for their opinions on the hottest EdTech of 2017. These guys are the real deal – experts in education, teaching and new tech from all over the world from England to India, to New York and San Francisco.

They’ve given us a list of 82 amazing, tried and tested tools…

From DSC:
The ones that I mentioned that Giorgio included in his excellent article were:

AdmitHub – Free, Expert College Admissions Advice
Labster – Empowering the Next Generation of Scientists to Change the World
Unimersiv – Virtual Reality Educational Experiences
Lifeliqe – Interactive 3D Models to Augment Classroom Learning

59 impressive things artificial intelligence can do today — from businessinsider.com by Ed Newton-Rex

Excerpt:

But what can AI do today? How close are we to that all-powerful machine intelligence? I wanted to know, but couldn’t find a list of AI’s achievements to date. So I decided to write one. What follows is an attempt at that list. It’s not comprehensive, but it contains links to some of the most impressive feats of machine intelligence around. Here’s what AI can do…

Recorded Saturday, February 25th, 2017 and published on Mar 16, 2017

Description:
Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, or could it present a threat to the very basis of human civilization? The future of artificial intelligence is up for debate, and the Origins Project is bringing together a distinguished panel of experts, intellectuals and public figures to discuss who’s in control. Eric Horvitz, Jaan Tallinn, Kathleen Fisher and Subbarao Kambhampati join Origins Project director Lawrence Krauss.

Description:
Elon Musk, Stuart Russell, Ray Kurzweil, Demis Hassabis, Sam Harris, Nick Bostrom, David Chalmers, Bart Selman, and Jaan Tallinn discuss with Max Tegmark (moderator) what likely outcomes might be if we succeed in building human-level AGI, and also what we would like to happen. The Beneficial AI 2017 Conference: In our sequel to the 2015 Puerto Rico AI conference, we brought together an amazing group of AI researchers from academia and industry, and thought leaders in economics, law, ethics, and philosophy for five days dedicated to beneficial AI. We hosted a two-day workshop for our grant recipients and followed that with a 2.5-day conference, in which people from various AI-related fields hashed out opportunities and challenges related to the future of AI and steps we can take to ensure that the technology is beneficial.

(Below emphasis via DSC)

IBM and Ricoh have partnered for a cognitive-enabled interactive whiteboard which uses IBM’s Watson intelligence and voice technologies to support voice commands, taking notes and actions and even translating into other languages.

The Intelligent Workplace Solution leverages IBM Watson and Ricoh’s interactive whiteboards to allow to access features via using voice. It makes sure that Watson doesn’t just listen, but is an active meeting participant, using real-time analytics to help guide discussions.

Features of the new cognitive-enabled whiteboard solution include:

Global voice control of meetings: Once a meeting begins, any employee, whether in-person or located remotely in another country, can easily control what’s on the screen, including advancing slides, all through simple voice commands using Watson’s Natural Language API.
Translation of the meeting into another language: The Intelligent Workplace Solution can translate speakers’ words into several other languages and display them on screen or in transcript.
Easy-to-join meetings: With the swipe of a badge the Intelligent Workplace Solution can log attendance and track key agenda items to ensure all key topics are discussed.
Ability to capture side discussions: During a meeting, team members can also hold side conversations that are displayed on the same whiteboard.

From DSC:

Holy smokes!

If you combine the technologies that Ricoh and IBM are using with their new cognitive-enabled interactive whiteboard with what Bluescape is doing — by providing 160 acres of digital workspace that’s used to foster collaboration (and to do so whether you are working remoting or working with others in the same physical space) — and you have one incredibly powerful platform!

AI Market to Grow 47.5% Over Next Four Years — from campustechnology.com by Richard Chang

Excerpt:

The artificial intelligence (AI) market in the United States education sector is expected to grow at a compound annual growth rate of 47.5 percent during the period 2017-2021, according to a new report by market research firm Research and Markets.

Amazon deepens university ties in artificial intelligence race — from by Jeffrey Dastin

Excerpt:

Amazon.com Inc has launched a new program to help students build capabilities into its voice-controlled assistant Alexa, the company told Reuters, the latest move by a technology firm to nurture ideas and talent in artificial intelligence research.
…
Amazon, Alphabet Inc’s Google and others are locked in a race to develop and monetize artificial intelligence. Unlike some rivals, Amazon has made it easy for third-party developers to create skills for Alexa so it can get better faster – a tactic it now is extending to the classroom.

The WebMD skill for Amazon’s Alexa can answer all your medical questions — from digitaltrends.com by Kyle Wiggers
WebMD is bringing its wealth of medical knowledge to a new form factor: Amazon’s Alexa voice assistant.

Excerpt:

Alexa, Amazon’s brilliant voice-activated smart assistant, is a capable little companion. It can order a pizza, summon a car, dictate a text message, and flick on your downstairs living room’s smart bulb. But what it couldn’t do until today was tell you whether that throbbing lump on your forearm was something that required medical attention. Fortunately, that changed on Tuesday with the introduction of a WebMD skill that puts the service’s medical knowledge at your fingertips.

Addendum:

How artificial intelligence is taking Asia by storm — from techwireasia.com by Samantha Cheh
Excerpt:
Lately it seems as if everyone is jumping onto the artificial intelligence bandwagon. Everyone, from ride-sharing service Uber to Amazon’s logistics branch, is banking on AI being the next frontier in technological innovation, and are investing heavily in the industry.

That’s likely truest in Asia, where the manufacturing engine which drove China’s growth is now turning its focus to plumbing the AI mine for gold.

Despite Asia’s relatively low overall investment in AI, the industry is set to grow. Fifty percent of respondents in KPMG’s AI report said their companies had plans to invest in AI or robotic technology.

Investment in AI is set to drive venture capital investment in China in 2017. Tak Lo, of Hong Kong’s Zeroth, notes there are more mentions of AI in Chinese research papers than there are in the US.

China, Korea and Japan collectively account for nearly half the planet’s shipments of articulated robots in the world.

Artificial Intelligence – Research Areas

“The Enterprise Gets Smart” + AI principles from the 2017 Asilomar Conference

On 03/24/2017, in 21st century, Amazon, analytics, Artificial Intelligence/Agents/LLMs/and Related, Asia, bots, business, Canada, career development, change, changing business models, communications, corporate / business world, corporate universities / corporate training, data related items, emerging technologies, ethics, Europe, Facebook / Meta Platforms, future, game-changing environment, global / globalization, Google, human-computer interaction (HCI), IBM, ideas, India, innovation, intelligent systems, leadership, legislatures / government / legal, liberal arts, morals/values, reinvent, research, robotics, science, society, surviving, UK, United States, vendors, vision/possibilities, by Daniel Christian

The Enterprise Gets Smart
Companies are starting to leverage artificial intelligence and machine learning technologies to bolster customer experience, improve security and optimize operations.

Excerpt:

Assembling the right talent is another critical component of an AI initiative. While existing enterprise software platforms that add AI capabilities will make the technology accessible to mainstream business users, there will be a need to ramp up expertise in areas like data science, analytics and even nontraditional IT competencies, says Guarini.

“As we start to see the land grab for talent, there are some real gaps in emerging roles, and those that haven’t been as critical in the past,” Guarini says, citing the need for people with expertise in disciplines like philosophy and linguistics, for example. “CIOs need to get in front of what they need in terms of capabilities and, in some cases, identify potential partners.”

Asilomar AI Principles

These principles were developed in conjunction with the 2017 Asilomar conference (videos here), through the process described here.

Artificial intelligence has already provided beneficial tools that are used every day by people around the world. Its continued development, guided by the following principles, will offer amazing opportunities to help and empower people in the decades and centuries ahead.

Research Issues

1) Research Goal: The goal of AI research should be to create not undirected intelligence, but beneficial intelligence.

2) Research Funding: Investments in AI should be accompanied by funding for research on ensuring its beneficial use, including thorny questions in computer science, economics, law, ethics, and social studies, such as:

How can we make future AI systems highly robust, so that they do what we want without malfunctioning or getting hacked?
How can we grow our prosperity through automation while maintaining people’s resources and purpose?
How can we update our legal systems to be more fair and efficient, to keep pace with AI, and to manage the risks associated with AI?
What set of values should AI be aligned with, and what legal and ethical status should it have?

3) Science-Policy Link: There should be constructive and healthy exchange between AI researchers and policy-makers.

4) Research Culture: A culture of cooperation, trust, and transparency should be fostered among researchers and developers of AI.

5) Race Avoidance: Teams developing AI systems should actively cooperate to avoid corner-cutting on safety standards.

Ethics and Values

6) Safety: AI systems should be safe and secure throughout their operational lifetime, and verifiably so where applicable and feasible.

7) Failure Transparency: If an AI system causes harm, it should be possible to ascertain why.

8) Judicial Transparency: Any involvement by an autonomous system in judicial decision-making should provide a satisfactory explanation auditable by a competent human authority.

9) Responsibility: Designers and builders of advanced AI systems are stakeholders in the moral implications of their use, misuse, and actions, with a responsibility and opportunity to shape those implications.

10) Value Alignment: Highly autonomous AI systems should be designed so that their goals and behaviors can be assured to align with human values throughout their operation.

11) Human Values: AI systems should be designed and operated so as to be compatible with ideals of human dignity, rights, freedoms, and cultural diversity.

12) Personal Privacy: People should have the right to access, manage and control the data they generate, given AI systems’ power to analyze and utilize that data.

13) Liberty and Privacy: The application of AI to personal data must not unreasonably curtail people’s real or perceived liberty.

14) Shared Benefit: AI technologies should benefit and empower as many people as possible.

15) Shared Prosperity: The economic prosperity created by AI should be shared broadly, to benefit all of humanity.

16) Human Control: Humans should choose how and whether to delegate decisions to AI systems, to accomplish human-chosen objectives.

17) Non-subversion: The power conferred by control of highly advanced AI systems should respect and improve, rather than subvert, the social and civic processes on which the health of society depends.

18) AI Arms Race: An arms race in lethal autonomous weapons should be avoided.

Longer-term Issues

19) Capability Caution: There being no consensus, we should avoid strong assumptions regarding upper limits on future AI capabilities.

20) Importance: Advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources.

21) Risks: Risks posed by AI systems, especially catastrophic or existential risks, must be subject to planning and mitigation efforts commensurate with their expected impact.

22) Recursive Self-Improvement: AI systems designed to recursively self-improve or self-replicate in a manner that could lead to rapidly increasing quality or quantity must be subject to strict safety and control measures.

23) Common Good: Superintelligence should only be developed in the service of widely shared ethical ideals, and for the benefit of all humanity rather than one state or organization.

Excerpts:
Creating human-level AI: Will it happen, and if so, when and how? What key remaining obstacles can be identified? How can we make future AI systems more robust than today’s, so that they do what we want without crashing, malfunctioning or getting hacked?

Talks:
- Demis Hassabis (DeepMind)
- Ray Kurzweil (Google) (video)
- Yann LeCun (Facebook/NYU) (pdf) (video)
Panel with Anca Dragan (Berkeley), Demis Hassabis (DeepMind), Guru Banavar (IBM), Oren Etzioni (Allen Institute), Tom Gruber (Apple), Jürgen Schmidhuber (Swiss AI Lab), Yann LeCun (Facebook/NYU), Yoshua Bengio (Montreal) (video)
Superintelligence: Science or fiction? If human level general AI is developed, then what are likely outcomes? What can we do now to maximize the probability of a positive outcome? (video)
- Talks:
  - Shane Legg (DeepMind)
  - Nick Bostrom (Oxford) (pdf) (video)
  - Jaan Tallinn (CSER/FLI) (pdf) (video)
- Panel with Bart Selman (Cornell), David Chalmers (NYU), Elon Musk (Tesla, SpaceX), Jaan Tallinn (CSER/FLI), Nick Bostrom (FHI), Ray Kurzweil (Google), Stuart Russell (Berkeley), Sam Harris, Demis Hassabis (DeepMind): If we succeed in building human-level AGI, then what are likely outcomes? What would we like to happen?
- Panel with Dario Amodei (OpenAI), Nate Soares (MIRI), Shane Legg (DeepMind), Richard Mallah (FLI), Stefano Ermon (Stanford), Viktoriya Krakovna (DeepMind/FLI): Technical research agenda: What can we do now to maximize the chances of a good outcome? (video)
Law, policy & ethics: How can we update legal systems, international treaties and algorithms to be more fair, ethical and efficient and to keep pace with AI?
- Talks:
  - Matt Scherer (pdf) (video)
  - Heather Roff-Perkins (Oxford)
- Panel with Martin Rees (CSER/Cambridge), Heather Roff-Perkins, Jason Matheny (IARPA), Steve Goose (HRW), Irakli Beridze (UNICRI), Rao Kambhampati (AAAI, ASU), Anthony Romero (ACLU): Policy & Governance (video)
- Panel with Kate Crawford (Microsoft/MIT), Matt Scherer, Ryan Calo (U. Washington), Kent Walker (Google), Sam Altman (OpenAI): AI & Law (video)
- Panel with Kay Firth-Butterfield (IEEE, Austin-AI), Wendell Wallach (Yale), Francesca Rossi (IBM/Padova), Huw Price (Cambridge, CFI), Margaret Boden (Sussex): AI & Ethics (video)

Learning Ecosystems

Categories

Tags