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An open letter to Microsoft and Google’s Partnership on AI [Leonhard]

On 10/12/2018, in 21st century, 24x7x365 access, algorithms, Amazon, analytics, Apple, Artificial Intelligence / Machine Learning / Deep Learning, Asia, Australia, bots, business, Canada, change, cloud-based computing / apps / other cloud-related, cognitive computing, computer science, corporate / business world, data mining, emerging technologies, engineering, ethics, Europe, future, game-changing environment, Google, hearts -- matters of the heart, human-computer interaction (HCI), ideas, innovation, intelligent systems, internet, IT in HE, Law Schools, machine-to-machine communications, morals/values, platforms, robotics, society, Technologies for your home, technology (general), the downsides of technology, tools, trends, UK, United States, vendors, vision, workplace, by Daniel Christian

An open letter to Microsoft and Google’s Partnership on AI — from wired.com by Gerd Leonhard
In a world where machines may have an IQ of 50,000, what will happen to the values and ethics that underpin privacy and free will?

Excerpt:

This open letter is my modest contribution to the unfolding of this new partnership. Data is the new oil – which now makes your companies the most powerful entities on the globe, way beyond oil companies and banks. The rise of ‘AI everywhere’ is certain to only accelerate this trend. Yet unlike the giants of the fossil-fuel era, there is little oversight on what exactly you can and will do with this new data-oil, and what rules you’ll need to follow once you have built that AI-in-the-sky. There appears to be very little public stewardship, while accepting responsibility for the consequences of your inventions is rather slow in surfacing.

In a world where machines may have an IQ of 50,000 and the Internet of Things may encompass 500 billion devices, what will happen with those important social contracts, values and ethics that underpin crucial issues such as privacy, anonymity and free will?

My book identifies what I call the “Megashifts”. They are changing society at warp speed, and your organisations are in the eye of the storm: digitization, mobilisation and screenification, automation, intelligisation, disintermediation, virtualisation and robotisation, to name the most prominent. Megashifts are not simply trends or paradigm shifts, they are complete game changers transforming multiple domains simultaneously.

If the question is no longer about if technology can do something, but why…who decides this?

Gerd Leonhard

From DSC:
Though this letter was written 2 years ago back in October of 2016, the messages, reflections, and questions that Gerd puts on the table are very much still relevant today. The leaders of these powerful companies have enormous power — power to do good, or to do evil. Power to help or power to hurt. Power to be a positive force for societies throughout the globe and to help create dreams, or power to create dystopian societies while developing a future filled with nightmares. The state of the human heart is extremely key here — though many will hate me saying that. But it’s true. At the end of the day, we need to very much care about — and be extremely aware of — the characters and values of the leaders of these powerful companies.

Also relevant/see:

Spray-on antennas will revolutionize the Internet of Things — from networkworld.com by Patrick Nelson
Researchers at Drexel University have developed a method to spray on antennas that outperform traditional metal antennas, opening the door to faster and easier IoT deployments.

From DSC:
Again, it’s not too hard to imagine in this arena that technologies can be used for good or for ill.

This is how the Future Today Institute researches, models & maps the future & develops strategies

Also see what the Institute for the Future does in this regard

Foresight Tools
IFTF has pioneered tools and methods for building foresight ever since its founding days. Co-founder Olaf Helmer was the inventor of the Delphi Method, and early projects developed cross-impact analysis and scenario tools. Today, IFTF is methodologically agnostic, with a brimming toolkit that includes the following favorites…

From DSC:
How might higher education use this foresight workflow? How might we better develop a future-oriented mindset?

From my perspective, I think that we need to be pulse-checking a variety of landscapes, looking for those early signals. We need to be thinking about what should be on our radars. Then we need to develop some potential scenarios and strategies to deal with those potential scenarios if they occur. Graphically speaking, here’s an excerpted slide from my introductory piece for a NGLS 2017 panel that we did.

This resource regarding their foresight workflow was mentioned in a recent e-newsletter from the FTI where they mentioned this important item as well:

Climate change: a megatrend that impacts us all
Excerpt:
Earlier this week, the United Nations’ scientific panel on climate change issued a dire report [PDF]. To say the report is concerning would be a dramatic understatement. Models built by the scientists show that at our current rate, the atmosphere will warm as much as 1.5 degrees Celsius, leading to a dystopian future of food shortages, wildfires, extreme winters, a mass die-off of coral reefs and more –– as soon as 2040. That’s just 20 years away from now.

But China also decided to ban the import of foreign plastic waste –– which includes trash from around the U.S. and Europe. The U.S. alone could wind up with an extra 37 million metric tons of plastic waste, and we don’t have a plan for what to do with it all.

Immediate Futures Scenarios: Year 2019

Optimistic: Climate change is depoliticized. Leaders in the U.S., Brazil and elsewhere decide to be the heroes, and invest resources into developing solutions to our climate problem. We understand that fixing our futures isn’t only about foregoing plastic straws, but about systemic change. Not all solutions require regulation. Businesses and everyday people are incentivized to shift behavior. Smart people spend the next two decades collaborating on plausible solutions.
Pragmatic: Climate change continues to be debated, while extreme weather events cause damage to our power grid, wreak havoc on travel, cause school cancellations, and devastate our farms. The U.S. fails to work on realistic scenarios and strategies to combat the growing problem of climate change. More countries elect far-right leaders, who shun global environmental accords and agreements. By 2029, it’s clear that we’ve waited too long, and that we’re running out of time to adapt.
Catastrophic: A chorus of voices calling climate change a hoax grows ever louder in some of the world’s largest economies, whose leaders choose immediate political gain over longer-term consequences. China builds an environmental coalition of 100 countries within the decade, developing both green infrastructure while accumulating debt service. Beijing sets global standards emissions––and it locks the U.S out of trading with coalition members. Trash piles up in the U.S., which didn’t plan ahead for waste management. By 2040, our population centers have moved inland and further north, our farms are decimated, our lives are miserable.

Watchlist: United Nations’ Intergovernmental Panel on Climate Change; European Geosciences Union; National Oceanic and Atmospheric Administration (NOAA); NASA; Department of Energy; Department of Homeland Security; House Armed Services Sub-committee on Emerging Threats and Capabilities; Environmental Justice Foundation; Columbia University’s Earth Institute; University of North Carolina at Wilmington; Potsdam Institute for Climate Impact Research; National Center for Atmospheric Research.

What does the Top Tools for Learning 2018 list tell us about the future direction of L&D? — from modernworkplacelearning.com by Jane Hart

Excerpt:

But for me 3 key things jump out:

More and more people are learning for themselves – in whatever way that suits them best – whether it is finding resources or online courses on the Web or interacting with their professional network. And they do all this for a variety of reasons: to solve problems, self-improve and prepare themselves for the future, etc.
Learning at work is becoming more personal and continuous in that it is a key part of many professional’s working day. And what’s more people are not only organising their own learning activities, they are also indeed managing their own development too – either with (informal) digital notebooks, or with (formal) personal learning platforms.
But it is in team collaboration where most of their daily learning takes place, and many now recognise and value the social collaboration platforms that underpin their daily interactions with colleagues as part of their daily work.

In other words, many people now see workplace learning as not just something that happens irregularly in corporate training, but as a continuous and on demand activity.

From DSC:
Reminds me of tapping into — and contributing towards — streams of content. All the time. Continuous, lifelong learning.

NEW: The Top Tools for Learning 2018 [Jane Hart]

On 09/29/2018, in A/V -- audio/visual, active learning, adjunct faculty, Adobe, adult learning, animation, Apple, Asia, assistive technologies, Australia, blended learning, blogs / blogging, Canada, career development, change, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, communities of practice, community colleges, content development, corporate / business world, corporate universities / corporate training, design, digital audio, digital learning, digital photography, digital storytelling, digital video, distance education, e-books, e-publishing related items (EPUB and more), e-readers, education, education technology, educational games / serious games, elearning, Europe, Google, Graphics, heutagogy, higher education, homeschooling/homeschoolers, India, instructional design, internet, IT in HE, K-12 related, learning, learning ecosystem, Lifelong learning, Media/film, Microlearning, Microsoft, Mobile learning, Mobile technologies, MOOCs -- Massive Open Online Courses, more choice more control, multimedia, online learning, platforms, PLNs, podcasting, presentations, productivity / tips and tricks, professional development, smart classrooms, social learning / networks, social media, society, story, storytelling, streams of content, student teaching/teacher education, student-related, tablets, teachers, teaching & learning, teaching online, Technologies for your home, technology (general), telecommunications, tools, training / L&D, trends, twitter, UK, United States, universities, vendors, videoconferencing, virtual reality / worlds / learning, Walmart of Education --> New Amazon.com of Higher Education, web design and production, web-based collaboration, workplace, by Daniel Christian

The above was from Jane’s posting 10 Trends for Digital Learning in 2018 — from modernworkplacelearning.com by Jane Hart

Excerpt:

[On 9/24/18], I released the Top Tools for Learning 2018 , which I compiled from the results of the 12th Annual Digital Learning Tools Survey.

I have also categorised the tools into 30 different areas, and produced 3 sub-lists that provide some context to how the tools are being used:

Top 100 Tools for Personal & Professional Learning 2018 (PPL100): the digital tools used by individuals for their own self-improvement, learning and development – both inside and outside the workplace.
Top 100 Tools for Workplace Learning (WPL100): the digital tools used to design, deliver, enable and/or support learning in the workplace.
Top 100 Tools for Education (EDU100): the digital tools used by educators and students in schools, colleges, universities, adult education etc.

3 – Web courses are increasing in popularity.
Although Coursera is still the most popular web course platform, there are, in fact, now 12 web course platforms on the list. New additions this year include Udacity and Highbrow (the latter provides daily micro-lessons). It is clear that people like these platforms because they can chose what they want to study as well as how they want to study, ie. they can dip in and out if they want to and no-one is going to tell them off – which is unlike most corporate online courses which have a prescribed path through them and their use is heavily monitored.

5 – Learning at work is becoming personal and continuous.
The most significant feature of the list this year is the huge leap up the list that Degreed has made – up 86 places to 47th place – the biggest increase by any tool this year. Degreed is a lifelong learning platform and provides the opportunity for individuals to own their expertise and development through a continuous learning approach. And, interestingly, Degreed appears both on the PPL100 (at 30) and WPL100 (at 52). This suggests that some organisations are beginning to see the importance of personal, continuous learning at work. Indeed, another platform that underpins this, has also moved up the list significantly this year, too. Anders Pink is a smart curation platform available for both individuals and teams which delivers daily curated resources on specified topics. Non-traditional learning platforms are therefore coming to the forefront, as the next point further shows.

From DSC:
Perhaps some foreshadowing of the presence of a powerful, online-based, next generation learning platform…?

How AI could help solve some of society’s toughest problems — from technologyreview.com by Charlotte Jee
Machine learning and game theory help Carnegie Mellon assistant professor Fei Fang predict attacks and protect people.

Excerpt:

Fei Fang has saved lives. But she isn’t a lifeguard, medical doctor, or superhero. She’s an assistant professor at Carnegie Mellon University, specializing in artificial intelligence for societal challenges.

At MIT Technology Review’s EmTech conference on Wednesday, Fang outlined recent work across academia that applies AI to protect critical national infrastructure, reduce homelessness, and even prevent suicides.

How AI can be a force for good — from science.sciencemag.org by Mariarosaria Taddeo & Luciano Floridi

Excerpts:

Invisibility and Influence
AI supports services, platforms, and devices that are ubiquitous and used on a daily basis. In 2017, the International Federation of Robotics suggested that by 2020, more than 1.7 million new AI-powered robots will be installed in factories worldwide. In the same year, the company Juniper Networks issued a report estimating that, by 2022, 55% of households worldwide will have a voice assistant, like Amazon Alexa.

As it matures and disseminates, AI blends into our lives, experiences, and environments and becomes an invisible facilitator that mediates our interactions in a convenient, barely noticeable way. While creating new opportunities, this invisible integration of AI into our environments poses further ethical issues. Some are domain-dependent. For example, trust and transparency are crucial when embedding AI solutions in homes, schools, or hospitals, whereas equality, fairness, and the protection of creativity and rights of employees are essential in the integration of AI in the workplace. But the integration of AI also poses another fundamental risk: the erosion of human self-determination due to the invisibility and influencing power of AI.

…

To deal with the risks posed by AI, it is imperative to identify the right set of fundamental ethical principles to inform the design, regulation, and use of AI and leverage it to benefit as well as respect individuals and societies. It is not an easy task, as ethical principles may vary depending on cultural contexts and the domain of analysis. This is a problem that the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems tackles with the aim of advancing public debate on the values and principles that should underpin ethical uses of AI.

Who’s to blame when a machine botches your surgery? — from qz.com by Robert Hart

Excerpt:

That’s all great, but even if an AI is amazing, it will still fail sometimes. When the mistake is caused by a machine or an algorithm instead of a human, who is to blame?

This is not an abstract discussion. Defining both ethical and legal responsibility in the world of medical care is vital for building patients’ trust in the profession and its standards. It’s also essential in determining how to compensate individuals who fall victim to medical errors, and ensuring high-quality care. “Liability is supposed to discourage people from doing things they shouldn’t do,” says Michael Froomkin, a law professor at the University of Miami.

Google Cloud’s new AI chief is on a task force for AI military uses and believes we could monitor ‘pretty much the whole world’ with drones — from businessinsider.in by Greg Sandoval

Excerpt:

“We could afford if we wanted to, and if we needed, to be surveilling pretty much the whole word with autonomous drones of various kinds,” Moore said. “I’m not saying we’d want to do that, but there’s not a technology gap there where I think it’s actually too difficult to do. This is now practical.”

…

Google’s decision to hire Moore was greeted with displeasure by at least one former Googler who objected to Project Maven.

“It’s worrisome to note after the widespread internal dissent against Maven that Google would hire Andrew Moore,” said one former Google employee. “Googlers want less alignment with the military-industrial complex, not more. This hire is like a punch in the face to the over 4,000 Googlers who signed the Cancel Maven letter.”

Organizations Are Gearing Up for More Ethical and Responsible Use of Artificial Intelligence, Finds Study — from businesswire.com
Ninety-two percent of AI leaders train their technologists in ethics; 74 percent evaluate AI outcomes weekly, says report from SAS, Accenture Applied Intelligence, Intel, and Forbes Insights

Excerpt:

AI oversight is not optional

Despite popular messages suggesting AI operates independently of human intervention, the research shows that AI leaders recognize that oversight is not optional for these technologies. Nearly three-quarters (74 percent) of AI leaders reported careful oversight with at least weekly review or evaluation of outcomes (less successful AI adopters: 33 percent). Additionally, 43 percent of AI leaders shared that their organization has a process for augmenting or overriding results deemed questionable during review (less successful AI adopters: 28 percent).

Do robots have rights? Here’s what 10 people and 1 robot have to say — from createdigital.org.au
When it comes to the future of technology, nothing is straightforward, and that includes the array of ethical issues that engineers encounter through their work with robots and AI.

Courses in VR and AR will now be available thanks to Amazon Sumerian partnership — from vrfocus.com by Rebecca Hills-Duty
The Royal Melbourne Institute of Technology (RMIT) have announced a partnership with Amazon Web Services.

Excerpt:

Last year Amazon announced a new feature for its Amazon Web Services called Amazon Sumerian, a platform that would allow anyone to create full-featured virtual reality experiences. The Royal Melbourne Institute of Technology (RMIT) have now announced that it will be offering short courses in artificial intelligence (AI), augmented reality (AR) and VR thanks to a partnership with Amazon Web Services.

The new partnership between RMIT and Amazon Web Services was announced at the AWS Public Sector Summit and Canberra, Australia on Wednesday. The new courses will be using the Amazon Sumerian platform.

The newly launched courses includes Developing AI Strategy, Developing AR and VR Strategy and Developing AR and VR Applications. All of these have been adapted from the AWS Educate program, which was created to react to the changing nature of the workplace, and how immersive technology is increasingly relevant.

My team’s mission is to build a community of lifelong learners, successfully navigating the world of work … yes, sometimes your degree is the right solution education wise for a person, but throughout our lives, certainly I know in my digital career, constantly we need to be updating our skills and understand the new, emerging technology and talk with experts.”

50 animation tools and resources for digital learners [Chesser]

On 04/23/2018, in animation, art, Australia, creativity, design, digital learning, digital storytelling, education technology, engagement / engaging students, homeschooling/homeschoolers, K-12 related, student-related, teachers, teaching & learning, tools, by Daniel Christian

50 animation tools and resources for digital learners — from teachthought.com by Lisa Chesser, opencolleges.edu.au

Excerpt:

Some of the animation links cataloged here will give educators very basic tools and histories of animation while others have the animation already created and set in motion, it’s just a matter of sharing it with students. Educators need to decide which tool is best for them. If you want to create your own animation from scratch, then you want to go to sites such as Animwork. If you want to select from an animation that’s already set up, for you then perhaps Explainia makes more sense. One of the easiest ways to animate, however, isn’t with your own camera and modeling clay, it’s with your links to sites that hand you everything within their own forums. Use the first part of this list for creating original animation or using animation tools to create lessons. Use the second part to select animated lessons that are already completed and set to share.

The Space Satellite Revolution Could Turn Earth into a Surveillance Nightmare — from scout.ai by Becky Ferreira
Laser communication between satellites is revolutionizing our ability to track climate change, manage resources, and respond to natural disasters. But there are downsides to putting Earth under a giant microscope.

Excerpts:

And while universal broadband has the potential to open up business and education opportunities to hundreds of thousands of people, it’s the real-time satellite feeds of earth that may have both the most immediate and widespread financial upsides — and the most frightening surveillance implications — for the average person here on earth.
…
Among the industries most likely to benefit from laser communications between these satellites are agriculture and forestry.
…
Satellite data can also be used to engage the public in humanitarian efforts. In the wake of Typhoon Haiyan, DigitalGlobe launched online crowdsourcing campaigns to map damage and help NGOs respond on the ground. And they’ve been identifying vulnerable communities in South Sudan as the nation suffers through unrest and famine.

In an age of intensifying natural disasters, combining these tactics with live satellite video feeds could mean the difference between life and death for thousands of people.
…
Should a company, for example, be able to use real-time video feeds to track your physical location, perhaps in order to better target advertising? Should they be able to use facial recognition and sentiment analysis algorithms to assess your reactions to those ads in real time?
…
While these commercially available images aren’t yet sharp enough to pick up intimate details like faces or phone screens, it’s foreseeable that regulations will be eased to accommodate even sharper images. That trend will continue to prompt privacy concerns, especially if a switch to laser-based satellite communication enables near real-time coverage at high resolutions.

A kaleidoscopic swirl of possible futures confronts us, filled with scenarios where law enforcement officials could rewind satellite footage to identify people at a crime scene, or on a more familial level, parents could remotely watch their kids — or keep tabs on each other — from space. In that world, it’s not hard to imagine privacy becoming even more of a commodity, with wealthy enclaves lobbying to be erased from visual satellite feeds, in a geospatial version of “gated communities.”

From DSC:
The pros and cons of technologies…hmmm…this article nicely captures the pluses and minuses that societies around the globe need to be aware of, struggle with, and discuss with each other. Some exciting things here, but some disturbing things here as well.

AI plus human intelligence is the future of work — from forbes.com by Jeanne Meister

Excerpts:

1 in 5 workers will have AI as their co worker in 2022
More job roles will change than will be become totally automated so HR needs to prepare today

…
As we increase our personal usage of chatbots (defined as software which provides an automated, yet personalized, conversation between itself and human users), employees will soon interact with them in the workplace as well. Forward looking HR leaders are piloting chatbots now to transform HR, and, in the process, re-imagine, re-invent, and re-tool the employee experience.

How does all of this impact HR in your organization? The following ten HR trends will matter most as AI enters the workplace…

…

The most visible aspect of how HR is being impacted by artificial intelligence is the change in the way companies source and recruit new hires. Most notably, IBM has created a suite of tools that use machine learning to help candidates personalize their job search experience based on the engagement they have with Watson. In addition, Watson is helping recruiters prioritize jobs more efficiently, find talent faster, and match candidates more effectively. According to Amber Grewal, Vice President, Global Talent Acquisition, “Recruiters are focusing more on identifying the most critical jobs in the business and on utilizing data to assist in talent sourcing.”

…as we enter 2018, the next journey for HR leaders will be to leverage artificial intelligence combined with human intelligence and create a more personalized employee experience.

From DSC:
Although I like the possibility of using machine learning to help employees navigate their careers, I have some very real concerns when we talk about using AI for talent acquisition. At this point in time, I would much rather have an experienced human being — one with a solid background in HR — reviewing my resume to see if they believe that there’s a fit for the job and/or determine whether my skills transfer over from a different position/arena or not. I don’t think we’re there yet in terms of developing effective/comprehensive enough algorithms. It may happen, but I’m very skeptical in the meantime. I don’t want to be filtered out just because I didn’t use the right keywords enough times or I used a slightly different keyword than what the algorithm was looking for.

Also, there is definitely age discrimination occurring out in today’s workplace, especially in tech-related positions. Folks who are in tech over the age of 30-35 — don’t lose your job! (Go check out the topic of age discrimination on LinkedIn and similar sites, and you’ll find many postings on this topic — sometimes with 10’s of thousands of older employees adding comments/likes to a posting). Although I doubt that any company would allow applicants or the public to see their internally-used algorithms, how difficult would it be to filter out applicants who graduated college prior to ___ (i.e., some year that gets updated on an annual basis)? Answer? Not difficult at all. In fact, that’s at the level of a Programming 101 course.

Artificial intelligence is going to supercharge surveillance – from theverge.com by James Vincent
What happens when digital eyes get the brains to match?

From DSC:
“Persons of interest” comes to mind after reading this article. Persons of interest is a clever, well done show, but still…the idea of combining surveillance w/ a super intelligent #AI is a bit unnerving.

Artificial intelligence | 2018 AI predictions — from thomsonreuters.com

Excerpts:

AI brings a new set of rules to knowledge work
Newsrooms embrace AI
Lawyers assess the risks of not using AI
Deep learning goes mainstream
Smart cars demand even smarter humans
Accountants audit forward
Wealth managers look to AI to compete and grow

Chatbots and Virtual Assistants in L&D: 4 Use Cases to Pilot in 2018 — from bottomlineperformance.com by Steven Boller

Excerpt:

Use a virtual assistant like Amazon Alexa or Google Assistant to answer spoken questions from on-the-go learners.
Answer common learner questions in a chat window or via SMS.
Customize a learning path based on learners’ demographic information.
Use a chatbot to assess learner knowledge.

Suncorp looks to augmented reality for insurance claims — from itnews.com.au by Ry Crozier with thanks to Woontack Woo for this resource

Excerpts:

Suncorp has revealed it is exploring image recognition and augmented reality-based enhancements for its insurance claims process, adding to the AI systems it deployed last year.

The insurer began testing IBM Watson software last June to automatically determine who is at fault in a vehicle accident.
…
“We are working on increasing our use of emerging technologies to assist with the insurance claim process, such as using image recognition to assess type and extent of damage, augmented reality that would enable an off-site claims assessor to discuss and assess damage, speech recognition, and obtaining telematic data from increasingly automated vehicles,” the company said.

6 important AI technologies to look out for in 2018 — from itproportal.com by Olga Egorsheva
Will businesses and individuals finally make AI a part of their daily lives?

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, algorithms, Amazon, Apple, Artificial Intelligence / Machine Learning / Deep Learning, Asia, Australia, bots, business, Canada, career development, change, Christian education, cognitive computing, collaboration, colleges, community colleges, corporate / business world, corporate universities / corporate training, credentialing, dangers of the status quo, Daniel S. Christian, data mining, digital learning, disruption, education reform, education technology, emerging technologies, Europe, Facebook, 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, legislatures / government / legal, Lifelong learning, Microlearning, Microsoft, 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 technology, training / L&D, trends, UK, United States, universities, vendors, vision, Walmart of Education --> New Amazon.com of Higher Education, 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

Learning Ecosystems

An open letter to Microsoft and Google’s Partnership on AI [Leonhard]

How to research, model & map the future & develop strategies [Future Today Institute]

From “How AI could help solve some of society’s toughest problems” to “Who’s to blame when a machine botches your surgery?” + 4 other AI-related items

Courses in VR and AR will now be available thanks to Amazon Sumerian partnership [Rebecca Hills-Duty]

The Space Satellite Revolution Could Turn Earth into a Surveillance Nightmare [Ferreira]

Reflections on “AI plus human intelligence is the future of work “+ 5 items on artificial intelligence, chatbots, & more

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

**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!

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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!

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Looking for something?

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**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?!