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

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

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

 

 

Also see:

 

 

 

Major Coding Bootcamps Going Out of Business — from campustechnology.com by Sri Ravipati

Excerpt:

In a surprising turn of events, two major coding bootcamps, within the span of about a week, have announced they are shutting down all operations.

Most recently, after a four-year run, South Carolina-based The Iron Yard (TIY) revealed last Friday it would close its 15 campuses, including locations like Atlanta, Austin, Houston and Charleston where other coding bootcamps are flourishing.

Similarly, Dev Bootcamp (DBC) on July 12 announced via Facebook that it would shutdown operations at all six locations — Austin, Chicago, San Diego, San Francisco, Seattle and New York — by the end of the summer.

 

From DSC:
I can almost hear the snickering from a variety of people within higher education about this situation. If gloating had an audible sound associated with it, I’d likely have to go find some earplugs. But I have a message for those who are snickering and gloating right now — saying something along the lines of, “Ha! So much for these alternatives to traditional higher education! They’re nothing, and they’ll come to nothing!”

That may be so. Such relatively new alternatives to traditional institutions of higher education may come to nothing. But you know what? At least those organizations are trying to be much more responsive than many institutions of traditional higher education are being! They’ve recognized that there are unmet needs — gaps, if you will — arising from our current systems. Gaps in either the content that we’re providing and/or the manner in which we’re providing it. Gaps that thousands of students have signed up for in a relatively short time. Those gaps should be cause for action within traditional institutions of higher education. They should be cause for realizing that we aren’t responding nearly fast enough to today’s new pace of change.

The pace of change has changed. It is lightning fast these days. Don’t believe me? Go check out some of the descriptions for the hot jobs out there these days. Seriously. Go do it. Go find out which skills you need to get your foot in the door to acquire those types of positions. It’ll blow your mind!

And there are ramifications to this.

If our accreditation systems need to change, than so be it. Let’s identify those necessary changes and make ’em happen!

Because:

  • WE have some serious responsibility for the educations that we are providing to this next generation!!! 
  • WE need to prepare them for what they’ll need to be marketable in the future — so that they can put bread and butter on their tables throughout their careers.
  • WE need to act!
  • WE need to be responsive!

This is not a time for gloating. Rather, this is a time for some serious action.

 

 

 



Addendums on 8/2/17 and 8/3/17:



Jobs Report: 97 Percent of Flatiron School Graduates Land Jobs — from by Sri Ravipati

Excerpt:

While two major coding bootcamps shut down earlier this week, another released its latest jobs report and says it had the strongest student outcomes to date.

The Flatiron School based in New York, NY has released an independently verified jobs report every year since 2014 — “pioneering the concept of outcomes reporting and setting a standard of transparency in educational outcomes,” the latest report reads. It’s the company’s commitment to accessibility and transparency that have allowed its programs to stay open for five years now, says Adam Enbar, co-founder of the Flatiron School.

 

More bootcamps are quietly coming to a university near you — from edsurge.com by Sydney Johnson

Excerpt:

In the last two years, a surge of nonprofit, four-year institutions have hopped on the bootcamp bandwagon. These programs, often on skills such as software development or data analytics, have arrived in a number of ways—from universities partnering with local for-profit bootcamps, or colleges creating their own intensive training programs completely in-house.But while bootcamps are often associated with tech skills, it seems that traditional universities trying out the model are interested in more than just coding. An increasing number of traditional higher-ed institutions are now applying bootcamp trainings to other fields, such as healthcare, accounting and even civics and political science.

 

 

 

Want to Build a Culture of Learning? You Need to Embrace Failure — from learning.linkedin.com by Paul Petrone

Excerpt:

Six questions that determine how your company really feels about failure
It’s great to say your company welcomes people experimenting and failing. But does that actually happen in practice?

To assess how your company really feels about failure, Andreatta suggests asking yourself these six questions about your culture:

  • Do people admit when they don’t know something or ask for help?
  • What happens when someone makes a mistake or fails? Are they teased or shamed or are they encouraged to look at what happened and try again?
  • When people make mistakes or challenge ideas, do they ultimately get sidelined, demoted or red?
  • Do people admit their mistakes and take responsibility for fixing them or do they blame others?
  • Do managers and leaders share stories of how they took risks or recovered from a failure?

 

“All of the amazing training programs in the world won’t help if people don’t feel safe enough to stretch and grow,” Andreatta said.

 

 

 

Career Pathways: Five Ways to Connect College and Careers calls for states to help students, their families, and employers unpack the meaning of postsecondary credentials and assess their value in the labor market.

Excerpt:

If students are investing more to go to college, they need to have answers to basic questions about the value of postsecondary education. They need better information to make decisions that have lifelong economic consequences.

Getting a college education is one of the biggest investments people will make in their lives, but the growing complexity of today’s economy makes it difficult for higher education to deliver efficiency and consistent quality. Today’s economy is more intricate than those of decades past.

 

From this press release:

It’s Time to Fix Higher Education’s Tower of Babel, Says Georgetown University Report
The lack of transparency around college and careers leads to costly, uninformed decisions

(Washington, D.C., July 11, 2017) — A new report from the Georgetown University Center on Education and the Workforce (Georgetown Center), Career Pathways: Five Ways to Connect College and Careers, calls for states to help students, their families, and employers unpack the meaning of postsecondary credentials and assess their value in the labor market.

Back when a high school-educated worker could find a good job with decent wages, the question was simply whether or not to go to college. That is no longer the case in today’s economy, which requires at least some college to enter the middle class. The study finds that:

  • The number of postsecondary programs of study more than quintupled between 1985 and 2010 — from 410 to 2,260;
  • The number of colleges and universities more than doubled from 1,850 to 4,720 between 1950 and 2014; and
  • The number of occupations grew from 270 in 1950 to 840 in 2010.

The variety of postsecondary credentials, providers, and online delivery mechanisms has also multiplied rapidly in recent years, underscoring the need for common, measurable outcomes.

College graduates are also showing buyer’s remorse. While they are generally happy with their decision to attend college, more than half would choose a different major, go to a different college, or pursue a different postsecondary credential if they had a chance.

The Georgetown study points out that the lack of information drives the higher education market toward mediocrity. The report argues that postsecondary education and training needs to be more closely aligned to careers to better equip learners and workers with the skills they need to succeed in the 21st century economy and close the skills gap.

The stakes couldn’t be higher for students to make the right decisions. Since 1980, tuition and fees at public four year colleges and universities have grown 19 times faster than family incomes. Students and families want — and need — to know the value they are getting for their investment.

 

 



Also see:

  • Trumping toward college transparency — from linkedin.com by Anthony Carnevale
    The perfect storm is gathering around the need to increase transparency around college and careers. And in accordance with how public policy generally comes about, it might just happen. 


 

 

 

How Amazon’s purchase of Whole Foods highlights the hybrid, ‘omnichannel’ future of higher ed — from edsurge.com by Sean Gallagher

Excerpt:

The expectation that students can integrate their learning experiences across channels is now arriving in higher education. Online education has reached a tipping point where almost 30 percent of all students in U.S. higher education are enrolled in at least one online college course. A significant number of students are already blending their experience across online and offline channels—and numerous data points speak to the evolving value of blending online delivery with physical presence, as suggested by Amazon.

In national surveys of prospective adult students that we have conducted regularly at Northeastern University over recent years, we have consistently found that 60 percent of students prefer a blended or hybrid learning experience. In other words, the majority of the higher education student market is neglected by today’s dominant approach that focuses on offering either online or in-person programs.

Like Amazon, the colleges and universities that are able to deliver across channels—leveraging the combination of physical presence and online algorithms—will be uniquely positioned to take advantage of the in-demand, destination nature of studying in certain cities; the local sourcing of faculty; and proximity to key employers, industries, and job opportunities.

 

Over the next decade, growth and competitive success in higher education will not be a function of who is able to offer online programs. Instead, the successful institutions will be those who can symbiotically integrate their placed-based educational operations and experiences with software-driven analytics, learning science, and machine learning to create a more personalized experience. A more Amazon-like experience.

 

 


From DSC:
A few side comments here:

  1. The future won’t be kind to those institutions who haven’t built up their “street cred” in the digital/virtual space. For example, if you are working at a traditional institution of higher education that doesn’t have online-based programs — nor does it have plans to create such programs in the future — you should get your resume up-to-date and start looking…now.
    .
  2. For data/analytics to have a significant impact and inform strategic or pedagogical decisions, one needs to collect the data. This is not hard to do online. But it’s very difficult — at least at a granular level — to do in a face-to-face environment.
    .
  3. Coursera’s MeetUps around the world — where their learners are encouraged to join study and discussion groups related to their online-only courses — make me wonder about the future of learning spaces and whether your local Starbucks might morph into a learning hub.

 

 

 


 

 

 

Online Learning—from Innovation to Adoption: Introducing the CHLOE Survey   — from eduventures.com by Richard Garrett & Ron Legon

Excerpt:

It’s now more than 20 years since online learning came on the scene. At the outset, many skeptics questioned its quality and reliability. Online learning faced widespread resistance among faculty conditioned by centuries-old, classroom-based education and lacking in computer skills. There were substantial start-up costs, technical deficiencies, and regulatory uncertainty to overcome.

With all these obstacles, many doubted whether online learning would gain a permanent foothold in U.S. higher education. The former Babson Survey Research Group/Sloan-C survey of chief academic officers focused on the fundamental issues of counting online students and attitudes for or against its adoption.

Today, the number of online students is no longer a mystery, and there is wide acceptance of the delivery mode among administrators and faculty. This innovation, in the means of delivering higher education, is here to stay. It is no longer experimental, but a fixture in mainstream institutions, accounting for a large and still growing proportion of total postsecondary enrollment.

Online learning has changed higher education, but higher education has also shaped online learning. There is no doubt that online learning is here to stay, but what is far less clear is the balance between innovation and consolidation, transformation and integration within institutions and across the field as a whole going forward. The planned series of annual CHLOE Surveys will provide much-needed insight.

 

 

 

Signs of a Ceiling in Online Ed Market — from insidehighered.com by Carl Straumsheim
Report on online education landscape suggests potentially leaner times ahead for colleges hoping to profit in the market. Community colleges are already seeing it.

Excerpt:

Is the community college sector the canary in the coal mine for the online education market?

A new survey of online education administrators at 104 colleges and universities released today shows — as other studies have suggested — that public and private four-year institutions saw healthy enrollment growth in their fully online programs in spring 2016 compared to the year before, and that they are showing few signs of slowing their investments in the space.

The situation is not the same at two-year colleges. Online programs at all institutions grew on average by 9 percent year over year, but at community colleges, growth typically registered 1 to 2 percent. And while only a handful of the public or private four-year institutions surveyed said their online enrollments shrank from 2015 to 2016, findings at community colleges were mixed: 33 percent saw growth, 27 percent decline and 40 percent stability.

 

 

 

From DSC:
It appears that the concept of “windows of opportunity” is also true with online learning; and the key thing for all community colleges, colleges and universities to reflect upon is that these windows don’t stay open forever. 

But another thing is that the world is going increasingly digital/virtual — especially in regards to the increasingly common usage of automation, robotics, and artificial intelligence. Our forms of Human Computer Interaction (HCI) continue to morph (AR, VR, Alexa and other personal assistants, etc.)

So some questions come to my mind:

  1. If one’s institution doesn’t offer a healthy assortment of online/virtually-based courses in the future, how might that situation impact the public’s perception of that particular institution? How might that situation impact recruitment and retention?
    .
  2. What’s going to happen when online-based learning experiences provide far more personalization, customization, and efficiency than our face-to-face courses can provide? Ask any faculty member speaking to 40-250+ students if they truly know the learning preferences, academic goals, and career goals of any given student — and I’ll bet you they have no idea. There’s simply not enough time to get to that level of information in many cases, and this situation is only getting tougher to do so. Don’t get me wrong. Many people will always prefer to learn in a physical environment, surrounded by other learners. But if the innovations continue to take place in the online learning-based environments, then Clayton Christensen’s theories of disruption could prove to be spot on — especially if the most innovative institutions of the future will be able to offer degrees at significantly reduced prices.

 

 

 

From DSC:
Though slightly older, this article has some solid advice that I think we in higher education need to heed as well.


 

The Importance of Continuing Education for Digital Leaders — from strategy-business.com by Chris Curran — with thanks to tweets by Cathryn Marsh and G Athanasakopoulos

Excerpt (emphasis DSC):

Whether you’re a newly minted MBA or an experienced leader, you’re always honing your skills and navigating change. And technology is one discipline in which you really can’t afford to stagnate. With digital transformation so central to strategy for most companies, all executives — especially CEOs — must embrace a learning mind-set. Gone are the days you can delegate the job of keeping up with technology to the IT staff.

Chief information officers (CIOs), of course, should regularly brief the management team and the board on new developments, demoing exciting new technology, bringing in external speakers and vendors, and using other tactics that promote tech learning and engagement. But keeping up on technology trends is also the responsibility of every executive. And while that can be daunting given the vast tech landscape and seemingly limitless avenues for learning, it’s also incredibly exciting.

 

 

Indeed, the art of continuous learning itself may be the most sought-after skill for tomorrow’s workforce as well as the key to solving tomorrow’s problems. 

 

 


From DSC:
Tapping into streams of content (via RSS feeds and/or with tools like Google Alerts) is key here. Developing your personal learning networks and your communities of practice are key here. The article also mentions MOOCs and online learning. which I would also add to the list of helpful tools/avenues to pursue.


 

 

Purdue University to Acquire Kaplan University — from wsj.com by Douglas Belkin and Melissa Korn
Purdue President Mitch Daniels calls deal major push into online education

Excerpt:

Purdue University, a flagship public institution in Indiana, is jumping into online education by buying for-profit Kaplan University with the aim of creating a new, public online university.

 

Also see:

Purdue Buys For-Profit Kaplan University for $1 to Create New Kind of Public University — from edsurge.com b

The sale price for Kaplan University’s 15 campuses was $1, though with one important catch: The new nonprofit university operated by Purdue promised to give a percentage of its revenue back to its former owner, Kaplan, Inc., for the next 30 years.

 

 



Addendum on 5/3/17:

 



 

 

Has cutting your way to greatness ever worked? — from insidehighered.com by Matt Reed
 I can’t think of a time that it has, yet it remains a common default mode.  

Excerpt:

Has cutting your way to greatness ever worked?

I can’t think of a time that it has, yet it remains a common default mode.

In places with declining enrollments and without generous external benefactors, it’s easy to fall into the trap of constant cutting. Each year is a fresh emergency, bringing another round of short-term patches and “temporary” workarounds that quickly become new baselines.

Over time, though, the cuts do damage that starts to show up in enrollments. Too many classes cancelled or calls unreturned lead to attrition, which leads to calls for still more cuts. Cut an off-campus location to save money, and whoops, you lose its enrollments, leading to a need for more cutting. Add an inexorably rising underlying cost — say, just hypothetically, health insurance — and you have the makings of a death spiral.

The task for the emerging generation of leadership isn’t just fiscal; it’s narrative.

 

 

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?
 

Looking to build the campus of tomorrow? 5 trends you should know — from ecampusnews.com by Laura Ascione
Today’s trends will bring about a new vision for the traditional college campus.

Excerpt:

“Innovations in physical space must be made to accommodate demands for accessibility, flexibility and affordability,” according to The State of Higher Education in 2017, a report from professional services firm Grant Thornton.

Changes in infrastructure are being driven by a handful of trends, including:

  • Digital technology is decoupling access to the classroom and information from any specific geographic location.
  • Learning is becoming more “modular,” credentialing specific competencies, such as certificates and badges,, rather than the model of four years to a degree via fixed-class schedules. This requires a less broad range of academic buildings on campus.
  • Students will engage with their coursework at their own time and pace, as they do in every other aspect of their lives.
  • Price pressure on colleges will create incentives for cost efficiencies, discouraging the fixed-cost commitment embodied in physical structures.
  • Deferred maintenance is a problem so large that it can’t be solved by most colleges within their available resources; the result may be reducing the physical plant footprint or just letting it deteriorate further.

These developments will prompt physical space transformation that will lead to a new kind of campus.

 

 


The State of Higher Education in 2017 — from grantthornton.com

 

Browse the report articles:

 

 

Innovative thinking will be vital to successfully moving into the future.

 

 

Retailers cut tens of thousands of jobs. Again. — from money.cnn.com by Paul R. La Monica
The dramatic reshaping of the American retail industry has, unfortunately, led to massive job losses in the sector.

Excerpt (emphasis DSC):

The federal government said Friday that retailers shed nearly 30,000 jobs in March. That follows a more than 30,000 decline in the number of retail jobs in the previous month.

So-called general merchandise stores are hurting the most.

That part of the sector, which includes struggling companies like Macy’s, Sears, and J.C. Penney, lost 35,000 jobs last month. Nearly 90,000 jobs have been eliminated since last October.

“There is no question that the Amazon effect is overwhelming,” said Scott Clemons, chief investment strategist of private banking for BBH. “There has been a shift in the way we buy things as opposed to a shift in the amount of money spent.”

To that end, Amazon just announced plans to hire 30,000 part-time workers.

 

From DSC:
One of the reasons that I’m posting this item is for those who say disruption isn’t real…it’s only a buzz word…

A second reason that I’m posting this item is because those of us working within higher education should take note of the changes in the world of retail and learn the lesson now before the “Next Amazon.com of Higher Education*” comes on the scene. Though this organization has yet to materialize, the pieces of its foundation are beginning to come together — such as the ingredients, trends, and developments that I’ve been tracking in my “Learning from the Living [Class] Room” vision.

This new organization will be highly disruptive to institutions of traditional higher education.

If you were in an influential position at Macy’s, Sears, and/or at J.C. Penney today, and you could travel back in time…what would you do?

We in higher education have the luxury of learning from what’s been happening in the retail business. Let’s be sure to learn our lesson.

 



 

* Effective today, what I used to call the “Forthcoming Walmart of Education — which has already been occurring to some degree with things such as MOOCs and collaborations/partnerships such as Georgia Institute of Technology, Udacity, and AT&T — I now call the “Next Amazon.com of Higher Education.”

Cost. Convenience. Selection. Offering a service on-demand (i.e., being quick, responsive, and available 24×7). <– These all are powerful forces.

 



 

P.S. Some will say you can’t possibly compare the worlds of retail and higher education — and that may be true as of 2017. However, if:

  • the costs of higher education keep going up and we continue to turn a deaf ear to the struggling families/students/adult learners/etc. out there
  • alternatives to traditional higher education continue to come on the landscape
  • the Federal Government continues to be more open to financially supporting such alternatives
  • technologies such as artificial intelligence, machine learning, deep learning continue to get better and more powerful — to the point that they can effectively deliver a personalized education (one that is likely to be fully online and that utilizes a team of specialists to create and deliver the learning experiences)
  • people lose their jobs to artificial intelligence, robotics, and automation and need to quickly reinvent themselves

…I can assure you that people will find other ways to make ends meet. The Next Amazon.com of Education will be just what they are looking for.

 



 

 

 

Ideo studied innovation in 100+ companies – here’s what it found — from fastcodesign.com by Katharine Schwab
Innovation is hard to pin down, but with these six insights Ideo says it’s cracking the code.

Excerpt:

  1. Don’t Get Stuck On One Idea (Or Even Three)
  2. Everyone Should Feel Comfortable Challenging The Status Quo
  3. A Clear, Consistent Purpose Fuels Innovation
  4. Remote Team Members Are Actually Good For Collaboration
  5. Touch Base Daily–It Leads To More Successful Launches
  6. Leaders, Your Job Is To Help Your Team–Not The Other Way Around

 

 

 

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)

 

 

 

From DSC:
The following questions came to my mind today:

  • What are the future ramifications — for higher education — of an exponential population growth curve, especially in regards to providing access?
  • Are our current ways of providing an education going to hold up?
  • What about if the cost of obtaining a degree maintains its current trajectory?
  • What changes do we need to start planning for and/or begin making now?

 

 

 

 

 

Links to sources:

 

 
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