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

 

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.

 

Jarvish’s smart motorcycle helmets will offer Alexa and Siri support and an AR display

 

Jarvish’s smart motorcycle helmets will offer Alexa and Siri support and an AR display — from the verge.com by Chaim Gartenberg

Excerpt:

The Jarvish X is the more basic of the two models. It offers integrated microphones and speakers for Siri, Google Assistant, and Alexa support so wearers have access things like directions, weather updates, and control music through voice control. There’s also a 2K, front-facing camera built into the helmet so you can record your ride. It’s set to cost $799 when it hits Kickstarter in January.

 

 

 

10 jobs that are safe in an AI world — from linkedin.com by Kai-Fu Lee

Excerpts:

Teaching
AI will be a great tool for teachers and educational institutions, as it will help educators figure out how to personalize curriculum based on each student’s competence, progress, aptitude, and temperament. However, teaching will still need to be oriented around helping students figure out their interests, teaching students to learn independently, and providing one-on-one mentorship. These are tasks that can only be done by a human teacher. As such, there will still be a great need for human educators in the future.

Criminal defense law
Top lawyers will have nothing to worry about when it comes to job displacement. reasoning across domains, winning the trust of clients, applying years of experience in the courtroom, and having the ability to persuade a jury are all examples of the cognitive complexities, strategies, and modes of human interaction that are beyond the capabilities of AI. However, a lot of paralegal and preparatory work like document review, analysis, creating contracts, handling small cases, packing cases, and coming up with recommendations can be done much better and more efficiently with AI. The costs of law make it worthwhile for AI companies to go after AI paralegals and AI junior lawyers, but not top lawyers.

 

From DSC:
In terms of teaching, I agree that while #AI will help personalize learning, there will still be a great need for human teachers, professors, and trainers. I also agree w/ my boss (and with some of the author’s viewpoints here, but not all) that many kinds of legal work will still need the human touch & thought processes. I diverge from his thinking in terms of scope — the need for human lawyers will go far beyond just lawyers involved in crim law.

 

Also see:

15 business applications for artificial intelligence and machine learning — from forbes.com

Excerpt:

Fifteen members of Forbes Technology Council discuss some of the latest applications they’ve found for AI/ML at their companies. Here’s what they had to say…

 

 

 

U.S. students spend more time working paid jobs than going to class — from bloomberg.com by Riley Griffin
Facing mounting debt, U.S. college students spend double the time working paid jobs than in the library.

Excerpts:

Haunted by costly degrees and insurmountable student debt, American college students now spend more time working paid jobs than in lectures, the library or studying at home.

The vast majority of current students—85 percent—work while enrolled, according to an HSBC survey published Thursday. Students spend an average of 4.2 hours a day working paid jobs, which is more than double the time they spend in the library, nearly two hours more than they spend in class and 1.4 hours more time than they spend studying at home.

Haunted by costly degrees and insurmountable student debt, American college students now spend more time working paid jobs than in lectures, the library or studying at home.

The vast majority of current students—85 percent—work while enrolled, according to an HSBC survey published Thursday. Students spend an average of 4.2 hours a day working paid jobs, which is more than double the time they spend in the library, nearly two hours more than they spend in class and 1.4 hours more time than they spend studying at home.

 

“The economics of the debt crisis have become a major distraction to students’ education,” said John Hupalo, founder and chief executive officer of Invite Education, an education financial planner. “Students’ first priority should be to get value out of their education, not squeezing out hours at a job in order to make money to sustain that education.”

 

 


From DSC:
Obviously, this could be a major problem for many students — depending upon whether their work experiences are paying off in terms of other kinds of learning/experiences/skills development/obtaining jobs later on. But this need to work to get through school is also why I think online education needs to be more prevalent in higher ed. If students need to work to obtain a degree, then they need the flexibility to make their class schedules jibe with their work schedules. As with healthcare, I’d also like to see us find ways to bring the costs down.

 

Also see:

One HBCU Hopes Its ‘$10,000 Degree Pathway’ Will Win Over Students Considering For-Profit Alternatives — from edsurge.com by Jeff Young

Excerpt:

A public university in North Carolina has teamed up with six community colleges to offer a program that promises students they will pay no more than $10,000 out of pocket for their four-year degree.

Participating students will attend a two-year college in the state to get their Associate’s degree, then transfer to an online program at Fayetteville State University to finish their bachelor’s. The students will continue to have access to mentors and resources at the local community college to help them stay on track.

 

Making College Affordable Remains a High Priority in Washington — from campustechnology.com by Sara Friedman
More states are providing free college tuition, but equity concerns remain when it comes to the costs of textbooks, transportation and housing.

 

 

 

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:

  1. 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.
  2. 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.
  3. 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.

 

 


 

 

 

3 trends shaping the future world of work — from hrtechnologist.com by Becky Frankiewicz, President of Manpower Group North America

Excerpt:

In a world of constant change, continuity has given way to adaptability. It’s no secret the world of work has changed. Yet today it’s changing faster than ever before.

The impact of technology means new skills and new roles are emerging as fast as others become extinct.

My career path is a case in point. When I entered high school, I intended to follow a linear career path similar to generations before me. Pick a discipline, get a degree, commit to it, retire. Now in my fourth career, that’s not how it worked out, and I’m glad. In fact, the only true constant I’ve had is constant learning. Because success in the future won’t be defined by performance, but by potential and the ability to learn, apply and adapt.

 

From Jobs for Life to Skills for Life
Each day we see firsthand technology’s impact on jobs. 65% of the jobs my three daughters will do don’t even exist yet. Employability is less about what you already know and more about your capacity to learn. It requires a new mindset for us to develop a workforce with the right skillsets, and for individuals seeking to advance their careers. We need to be ready to help upskill and reskill people for new jobs and new roles. 

 

 

 

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

The Top Tools for Learning 2018 from the 12th Annual Digital Learning Tools Survey -- by Jane Hart

 

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 MIT Tech Review by Charlotte Jee
Machine learning and game theory help Carnegie Mellon assistant professor Fei Fang predict attacks and protect people.

Excerpt:

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

 

 

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

  • Andrew Moore, the new chief of Google Cloud AI, co-chairs a task force on AI and national security with deep defense sector ties.
  • Moore leads the task force with Robert Work, the man who reportedly helped to create Project Maven.
  • Moore has given various talks about the role of AI and defense, once noting that it was now possible to deploy drones capable of surveilling “pretty much the whole world.”
  • One former Googler told Business Insider that the hiring of Moore is a “punch in the face” to those employees.

 

 

How AI can be a force for good — from science.sciencemag.org

Excerpt:

The AI revolution is equally significant, and humanity must not make the same mistake again. It is imperative to address new questions about the nature of post-AI societies and the values that should underpin the design, regulation, and use of AI in these societies. This is why initiatives like the abovementioned AI4People and IEEE projects, the European Union (EU) strategy for AI, the EU Declaration of Cooperation on Artificial Intelligence, and the Partnership on Artificial Intelligence to Benefit People and Society are so important (see the supplementary materials for suggested further reading). A coordinated effort by civil society, politics, business, and academia will help to identify and pursue the best strategies to make AI a force for good and unlock its potential to foster human flourishing while respecting human dignity.

 

 

Ethical regulation of the design and use of AI is a complex but necessary task. The alternative may lead to devaluation of individual rights and social values, rejection of AI-based innovation, and ultimately a missed opportunity to use AI to improve individual wellbeing and social welfare.

 

 

Robot wars — from ethicaljournalismnetwork.org by James Ball
How artificial intelligence will define the future of news

Excerpt:

There are two paths ahead in the future of journalism, and both of them are shaped by artificial intelligence.

The first is a future in which newsrooms and their reporters are robust: Thanks to the use of artificial intelligence, high-quality reporting has been enhanced. Not only do AI scripts manage the writing of simple day-to-day articles such as companies’ quarterly earnings updates, they also monitor and track masses of data for outliers, flagging these to human reporters to investigate.

Beyond business journalism, comprehensive sports stats AIs keep key figures in the hands of sports journalists, letting them focus on the games and the stories around them. The automated future has worked.

The alternative is very different. In this world, AI reporters have replaced their human counterparts and left accountability journalism hollowed out. Facing financial pressure, news organizations embraced AI to handle much of their day-to-day reporting, first for their financial and sports sections, then bringing in more advanced scripts capable of reshaping wire copy to suit their outlet’s political agenda. A few banner hires remain, but there is virtually no career path for those who would hope to replace them ? and stories that can’t be tackled by AI are generally missed.

 

 

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.

 

 

Alibaba looks to arm hotels, cities with its AI technology — from zdnet.com by Eileen Yu
Chinese internet giant is touting the use of artificial intelligence technology to arm drivers with real-time data on road conditions as well as robots in the hospitality sector, where they can deliver meals and laundry to guests.

Excerpt:

Alibaba A.I. Labs’ general manager Chen Lijuan said the new robots aimed to “bridge the gap” between guest needs and their expected response time. Describing the robot as the next evolution towards smart hotels, Chen said it tapped AI technology to address painpoints in the hospitality sector, such as improving service efficiencies.

Alibaba is hoping the robot can ease hotels’ dependence on human labour by fulfilling a range of tasks, including delivering meals and taking the laundry to guests.

 

 

Accenture Introduces Ella and Ethan, AI Bots to Improve a Patient’s Health and Care Using the Accenture Intelligent Patient Platform — from marketwatch.com

Excerpt:

Accenture has enhanced the Accenture Intelligent Patient Platform with the addition of Ella and Ethan, two interactive virtual-assistant bots that use artificial intelligence (AI) to constantly learn and make intelligent recommendations for interactions between life sciences companies, patients, health care providers (HCPs) and caregivers. Designed to help improve a patient’s health and overall experience, the bots are part of Accenture’s Salesforce Fullforce Solutions powered by Salesforce Health Cloud and Einstein AI, as well as Amazon’s Alexa.

 

 

German firm’s 7 commandments for ethical AI — from france24.com

Excerpt:

FRANKFURT AM MAIN (AFP) –
German business software giant SAP published Tuesday an ethics code to govern its research into artificial intelligence (AI), aiming to prevent the technology infringing on people’s rights, displacing workers or inheriting biases from its human designers.

 

 

 

 

Skype chats are coming to Alexa devices — from engadget.com by Richard Lawlor
Voice controlled internet calls to or from any device with Amazon’s system in it.

Excerpt:

Aside from all of the Alexa-connected hardware, there’s one more big development coming for Amazon’s technology: integration with Skype. Microsoft and Amazon said that voice and video calls via the service will come to Alexa devices (including Microsoft’s Xbox One) with calls that you can start and control just by voice.

 

 

Amazon Hardware Event 2018
From techcrunch.com

 

Echo HomePod? Amazon wants you to build your own — by Brian Heater
One of the bigger surprises at today’s big Amazon event was something the company didn’t announce. After a couple of years of speculation that the company was working on its own version of the Home…

 

 

The long list of new Alexa devices Amazon announced at its hardware event — by Everyone’s favorite trillion-dollar retailer hosted a private event today where they continued to…

 

Amazon introduces APL, a new design language for building Alexa skills for devices with screensAlong with the launch of the all-new Echo Show, the Alexa-powered device with a screen, Amazon also introduced a new design language for developers who want to build voice skills that include multimedia…

Excerpt:

Called Alexa Presentation Language, or APL, developers will be able to build voice-based apps that also include things like images, graphics, slideshows and video, and easily customize them for different device types – including not only the Echo Show, but other Alexa-enabled devices like Fire TV, Fire Tablet, and the small screen of the Alexa alarm clock, the Echo Spot.

 

From DSC:
This is a great move by Amazon — as NLP and our voices become increasingly important in how we “drive” and utilize our computing devices.

 

 

Amazon launches an Echo Wall Clock, because Alexa is gonna be everywhere — by Sarah Perez

 

 

Amazon’s new Echo lineup targets Google, Apple and Sonos — from engadget.com by Nicole Lee
Alexa, dominate the industry.

The business plan from here is clear: Companies pay a premium to be activated when users pose questions related to their products and services. “How do you cook an egg?” could pull up a Food Network tutorial; “How far is Morocco?” could enable the Expedia app.
Also see how Alexa might be a key piece of smart classrooms in the future:
 

Just released from the Future Today Institute:
The 2019 Journalism, Media and Tech Trends Report 

Launched at the Online News Association conference in Austin, Texas, the Future Today Institute’s new industry report for the future of journalism, media and technology follows the same approach as our popular annual mega trends report, now in its 11th year with more than 7.5 million cumulative views.

Key findings:

  • Blockchain emerged as a significant driver of change in 2019 and beyond. The blockchain ecosystem is still maturing, however we’ve now seen enough development, adoption and consolidation that it warrants its own, full section. There are numerous opportunities for media and journalism organizations. For that reason, we’ve included an explainer, a list of companies to watch, and a cross-indexed list of trends to compliment blockchain technology. We’ve also included detailed scenarios in this section.

 

  • Mixed Reality is entering the mainstream.
    The mixed reality ecosystem has grown enough that we now see concrete opportunities on the horizon for media organizations. From immersive video to wearable technology, news and entertainment media organizations should begin mapping their strategy for new kinds of devices and platforms.

 

  • Artificial Intelligence is not a tech trend—it is the third era of computing. And it isn’t just for story generation. You will see the AI ecosystem represented in many of the trends in this report, and it is vitally important that all decision-makers and teams familiarize themselves with current and emerging AI trends.

 

In addition to the 108 trends identified, the report also includes several guides for journalists, including a Blockchain Primer, an AI Primer, a mixed reality explainer, hacker terms and lingo, and a guide to policy changes on the horizon.

The report also includes guidance on how everyone working within journalism and media can take action on tech trends and how to evaluate a trend’s impact on their local marketplaces.

Download and read the full report here.   |   View it on Slideshare.

 

 

 

 

Try before you buy — from universityventures.com

Excerpts:

There are two reasons why the skills gap persists in a full-employment economy. On the student or candidate side, there is “Education Friction.” Education Friction is why individuals fail to upskill themselves with the skills demanded by employers. This is a result of the time required to upskill, the cost, and – most important – the uncertainty of a positive employment outcome. The second and often overlooked contributor to the skills gap is “Hiring Friction” on the part of employers; employers are increasingly reluctant to hire candidates without exact relevant experience. The cost of a bad hire is higher than ever, as is employee churn, as is the cost of replacing terminated employees – all of which have contributed to an increase in experience requirements for positions that should be (and once were) entry level.

From time immemorial, all serious education, training, and workforce efforts to close the skills gap have started by identifying missing skills, developing curriculum, and delivering programs. These “Education Up” models are logical, but also easy. The hardest part of the skills gap is not identifying skills or skill building, but rather building the bridge to employers.

The urgent need to reduce Hiring Friction, coupled with the regulatory barrier to utilizing assessments at the top of the hiring funnel, is giving rise to new models that are the antithesis of “Education Up.” These new “Employer Down” models start with employers and the entry-level positions they need to fill, and eliminate Hiring Friction by allowing employers to try before they buy. Staffing and business services companies are hiring candidates themselves, providing Last-Mile Training, and placing newly-trained talent at the service of employers so they can try before they buy. Some Employer Down models add a new “emerging talent” product to an existing talent business (i.e., staffing or placement). Others establish outsourced apprenticeship programs to add a talent dimension to an existing business service, which can boost pricing power, increase market share, and accelerate growth. What they have in common is that candidates are hired and trained by the provider and then, while remaining employed by the provider, perform work for clients; clients convert candidates to full-time employees only when they’re good and ready. Here’s what else they have in common: scalable business models built around the provision of proven entry-level talent.

 

“Education Up” colleges and universities are ill-prepared for the coming of “Employer Down.”

 

 

 

San Diego’s Nanome Inc. releases collaborative VR-STEM software for free — from vrscout.com by Becca Loux

Excerpt:

The first collaborative VR molecular modeling application was released August 29 to encourage hands-on chemistry experimentation.

The open-source tool is free for download now on Oculus and Steam.

Nanome Inc., the San Diego-based start-up that built the intuitive application, comprises UCSD professors and researchers, web developers and top-level pharmaceutical executives.

 

“With our tool, anyone can reach out and experience science at the nanoscale as if it is right in front of them. At Nanome, we are bringing the craftsmanship and natural intuition from interacting with these nanoscale structures at room scale to everyone,” McCloskey said.

 

San Diego’s Nanome Inc. Releases Collaborative VR-STEM Software For Free

 

 

10 ways VR will change life in the near future — from forbes.com

Excerpts:

  1. Virtual shops
  2. Real estate
  3. Dangerous jobs
  4. Health care industry
  5. Training to create VR content
  6. Education
  7. Emergency response
  8. Distraction simulation
  9. New hire training
  10. Exercise

 

From DSC:
While VR will have its place — especially for timeswhen you need to completely immerse yourself into another environment — I think AR and MR will be much larger and have a greater variety of applications. For example, I could see where instructions on how to put something together in the future could use AR and/or MR to assist with that process. The system could highlight the next part that I’m looking for and then highlight the corresponding parts where it goes — and, if requested, can show me a clip on how it fits into what I’m trying to put together.

 

How MR turns firstline workers into change agents — from virtualrealitypop.com by Charlie Finkand
Mixed Reality, a new dimension of work — from Microsoft and Harvard Business Review

Excerpts:

Workers with mixed-reality solutions that enable remote assistance, spatial planning, environmentally contextual data, and much more,” Bardeen told me. With the HoloLens Firstline Workers workers conduct their usual, day-to-day activities with the added benefit of a heads-up, hands-free, display that gives them immediate access to valuable, contextual information. Microsoft says speech services like Cortana will be critical to control along with gesture, according to the unique needs of each situation.

 

Expect new worker roles. What constitutes an “information worker” could change because mixed reality will allow everyone to be involved in the collection and use of information. Many more types of information will become available to any worker in a compelling, easy-to-understand way. 

 

 

Let’s Speak: VR language meetups — from account.altvr.com

 

 

 

 

Smart Machines & Human Expertise: Challenges for Higher Education — from er.educause.edu by Diana Oblinger

Excerpts:

What does this mean for higher education? One answer is that AI, robotics, and analytics become disciplines in themselves. They are emerging as majors, minors, areas of emphasis, certificate programs, and courses in many colleges and universities. But smart machines will catalyze even bigger changes in higher education. Consider the implications in three areas: data; the new division of labor; and ethics.

 

Colleges and universities are challenged to move beyond the use of technology to deliver education. Higher education leaders must consider how AI, big data, analytics, robotics, and wide-scale collaboration might change the substance of education.

 

Higher education leaders should ask questions such as the following:

  • What place does data have in our courses?
  • Do students have the appropriate mix of mathematics, statistics, and coding to understand how data is manipulated and how algorithms work?
  • Should students be required to become “data literate” (i.e., able to effectively use and critically evaluate data and its sources)?

Higher education leaders should ask questions such as the following:

  • How might problem-solving and discovery change with AI?
  • How do we optimize the division of labor and best allocate tasks between humans and machines?
  • What role do collaborative platforms and collective intelligence have in how we develop and deploy expertise?


Higher education leaders should ask questions such as the following:

  • Even though something is possible, does that mean it is morally responsible?
  • How do we achieve a balance between technological possibilities and policies that enable—or stifle—their use?
  • An algorithm may represent a “trade secret,” but it might also reinforce dangerous assumptions or result in unconscious bias. What kind of transparency should we strive for in the use of algorithms?

 

 

 

It’s time to address artificial intelligence’s ethical problems — from wired.co.uk by Abigail Beall
AI is already helping us diagnose cancer and understand climate change, but regulation and oversight are needed to stop the new technology being abused

Excerpt:

The potential for AI to do good is immense, says Taddeo. Technology using artificial intelligence will have the capability to tackle issues “from environmental disasters to financial crises, from crime, terrorism and war, to famine, poverty, ignorance, inequality, and appalling living standards,” she says.

Yet AI is not without its problems. In order to ensure it can do good, we first have to understand the risks.

The potential problems that come with artificial intelligence include a lack of transparency about what goes into the algorithms. For example, an autonomous vehicle developed by researchers at the chip maker Nvidia went on the roads in 2016, without anyone knowing how it made its driving decisions.

 

 

15 more companies that no longer require a degree — apply now — from glassdoor.com

Excerpt:

With college tuition soaring nationwide, many Americans don’t have the time or money to earn a college degree. However, that doesn’t mean your job prospects are diminished. Increasingly, there are many companies offering well-paying jobs to those with non-traditional education or a high-school diploma.

Google and Ernest & Young are just two of the champion companies who realize that book smarts don’t necessarily equal strong work ethic, grit and talent. Whether you have your GED and are looking for a new opportunity or charting your own path beyond the traditional four-year college route, here are 15 companies that have said they do not require a college diploma for some of their top jobs.

 

From DSC:
Several years ago when gas prices were sky high, I couldn’t help but think that some industries — though they were able to grab some significant profits in the short term — were actually shooting themselves in the foot for the longer term. Sure enough, as time went by, people started looking for less expensive alternatives. For example, they started buying more hybrid vehicles, more electric cars, and the sales of smaller cars and lighter trucks increased. The average fuel economy of vehicles went up (example). The goal was to reduce or outright eliminate the number of trips to the gas station that people were required to make.  

These days…I wonder if the same kind of thing is happening — or about to happen — with traditional institutions of higher education*? Are we shooting ourselves in the foot?

Traditional institutions of higher education better find ways to adapt, and to change their game (so to speak), before the alternatives to those organizations gain some major steam. There is danger in the status quo. Count on it. The saying, “Adapt or die” has now come to apply to higher ed as well.

Faculty, staff, and administrators within higher ed are beginning to experience what the corporate world has been experiencing for decades.

Faculty can’t just teach what they want to teach. They can’t just develop courses that they are interested in. The demand for courses that aren’t attractive career-wise will likely continue to decrease. Sure, it can be argued that many of those same courses — especially from the liberal arts colleges — are still valuable…and I would agree with some of those arguments. But the burden of proof continues to be shifted to the shoulders of those proposing such curricula.

Also, the costs of obtaining a degree needs to come down or:

  • The gorillas of debt on peoples’ backs will become a negative word of mouth that will be hard to compete against or adequately address as time goes by
  • The angst towards higher ed will continue to build
  • People will bolt for those promising alternatives to traditional higher ed where the graduates (badge earners, or whatever they’re going to be called) of those programs are hired and shown to be effective employees
  • I hope that this isn’t the case and that it’s not too late to change…but history will likely show that higher ed shot itself in the foot. The warning signs were all over the place.

 

 

The current trends are paving the way for a next generation learning platform that will serve someone from cradle to grave.

 

 

* I realize that many in higher ed would immediately dispute that their organizations are out to grab short term profits, that they don’t operate like a business, that they don’t operate under the same motivations as the corporate world, etc.  And I can see some of these folks’ points, no doubt. I may even agree with some of the folks who represent organizations who freely share information with other organizations and have motivations other than making tons of money.  But for those folks who staunchly hold to the belief that higher ed isn’t a business at all — well, for me, that’s taking things way too far. I do not agree with that perspective at all. One has to have their eyes (and minds) closed to cling to that perspective anymore. Just don’t ask those folks to tell you how much their presidents make (along with other higher-level members of their administrations), the salaries of the top football coaches, or how many millions of dollars many universities’ receive for their television contracts and/or their ticket sales, or how much revenue research universities bring in from patents and so on and so forth.

 

 



Addendum on 8/24, per University Ventures e-newsletter

2. Facebook Goes Back to College (emphasis DSC)
TechCrunch report on how digital giants are buying into Last-Mile Training by partnering with Pathstream to deliver necessary digital skills to community college students.
Most good first jobs specifically require one or more technologies like Facebook or Unity — technologies that colleges and universities aren’t teaching. If Pathstream is able to realize its vision of integrating industry-relevant software training into degree programs in a big way, colleges and universities have a shot at maintaining their stranglehold as the sole pathway to successful careers. If Pathstream’s impact is more limited, watch for millions of students to sidestep traditional colleges, and enroll in emerging faster and cheaper alternative pathways to good first jobs — alternative pathways that will almost certainly integrate the kind of last-mile training being pioneered by Pathstream.

 

America’s colleges and universities could learn a thing or two from Leo, because they continue to resist teaching students the practical things they’ll need to know as soon as they graduate; for instance, to get jobs that will allow them to make student loan payments. Digital skills head this list, specifically experience with the high-powered software they’ll be required to use every day in entry-level positions.

But talk to a college president or provost about the importance of Marketo, HubSpot, Pardot, Tableau, Adobe and Autodesk for their graduates, and they’re at a loss for how to integrate last-mile training into their degree programs in order prepare students to work on these essential software platforms.

Enter a new company, Pathstream, which just announced a partnership with tech leader Unity and previously partnered with Facebook. Pathstream supports the delivery of career-critical software skill training in VR/AR and digital marketing at colleges and universities.

 



 

Addendum on 8/24, per University Ventures e-newsletter
3. Faster + Cheaper Alternatives to College
Inside Higher Education Q&A on upcoming book A New U: Faster + Cheaper Alternatives to College.
Last-mile training is the inevitable by-product of two crises, one generally understood, the other less so. The crisis everyone understands is affordability and unsustainable levels of student loan debt. The other crisis is employability. Nearly half of all college graduates are underemployed in their first job. And we know that underemployment is pernicious and lasting. According to the recent report from Strada’s Institute for the Future of Work, two-thirds of underemployed graduates remain underemployed five years later, and half remain underemployed a decade later. So today’s students no longer buy that tired college line that “we prepare you for your fifth job, not your first job.” They know that if they don’t get a good first job, they’re probably not going to get a good fifth job. As a result, today’s students are laser-focused on getting a good first job in a growing sector of the economy.

 

 

 
© 2024 | Daniel Christian