From DSC:
We are hopefully creating the future that we want — i.e., creating the future of our dreams, not nightmares.  The 14 items below show that technology is often waaay out ahead of us…and it takes time for other areas of society to catch up (such as areas that involve making policies, laws, and/or if we should even be doing these things in the first place). 

Such reflections always make me ask:

  • Who should be involved in some of these decisions?
  • Who is currently getting asked to the decision-making tables for such discussions?
  • How does the average citizen participate in such discussions?

Readers of this blog know that I’m generally pro-technology. But with the exponential pace of technological change, we need to slow things down enough to make wise decisions.

 


 

Google AI invents its own cryptographic algorithm; no one knows how it works — from arstechnica.co.uk by Sebastian Anthony
Neural networks seem good at devising crypto methods; less good at codebreaking.

Excerpt:

Google Brain has created two artificial intelligences that evolved their own cryptographic algorithm to protect their messages from a third AI, which was trying to evolve its own method to crack the AI-generated crypto. The study was a success: the first two AIs learnt how to communicate securely from scratch.

 

 

IoT growing faster than the ability to defend it — from scientificamerican.com by Larry Greenemeier
Last week’s use of connected gadgets to attack the Web is a wake-up call for the Internet of Things, which will get a whole lot bigger this holiday season

Excerpt:

With this year’s approaching holiday gift season the rapidly growing “Internet of Things” or IoT—which was exploited to help shut down parts of the Web this past Friday—is about to get a lot bigger, and fast. Christmas and Hanukkah wish lists are sure to be filled with smartwatches, fitness trackers, home-monitoring cameras and other wi-fi–connected gadgets that connect to the internet to upload photos, videos and workout details to the cloud. Unfortunately these devices are also vulnerable to viruses and other malicious software (malware) that can be used to turn them into virtual weapons without their owners’ consent or knowledge.

Last week’s distributed denial of service (DDoS) attacks—in which tens of millions of hacked devices were exploited to jam and take down internet computer servers—is an ominous sign for the Internet of Things. A DDoS is a cyber attack in which large numbers of devices are programmed to request access to the same Web site at the same time, creating data traffic bottlenecks that cut off access to the site. In this case the still-unknown attackers used malware known as “Mirai” to hack into devices whose passwords they could guess, because the owners either could not or did not change the devices’ default passwords.

 

 

How to Get Lost in Augmented Reality — from inverse.com by Tanya Basu; with thanks to Woontack Woo for this resource
There are no laws against projecting misinformation. That’s good news for pranksters, criminals, and advertisers.

Excerpt:

Augmented reality offers designers and engineers new tools and artists and new palette, but there’s a dark side to reality-plus. Because A.R. technologies will eventually allow individuals to add flourishes to the environments of others, they will also facilitate the creation of a new type of misinformation and unwanted interactions. There will be advertising (there is always advertising) and there will also be lies perpetrated with optical trickery.

Two computer scientists-turned-ethicists are seriously considering the problematic ramifications of a technology that allows for real-world pop-ups: Keith Miller at the University of Missouri-St. Louis and Bo Brinkman at Miami University in Ohio. Both men are dismissive of Pokémon Go because smartphones are actually behind the times when it comes to A.R.

A very important question is who controls these augmentations,” Miller says. “It’s a huge responsibility to take over someone’s world — you could manipulate people. You could nudge them.”

 

 

Can we build AI without losing control over it? — from ted.com by Sam Harris

Description:

Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris — and not just in some theoretical way. We’re going to build superhuman machines, says Harris, but we haven’t yet grappled with the problems associated with creating something that may treat us the way we treat ants.

 

 

Do no harm, don’t discriminate: official guidance issued on robot ethics — from theguardian.com
Robot deception, addiction and possibility of AIs exceeding their remits noted as hazards that manufacturers should consider

Excerpt:

Isaac Asimov gave us the basic rules of good robot behaviour: don’t harm humans, obey orders and protect yourself. Now the British Standards Institute has issued a more official version aimed at helping designers create ethically sound robots.

The document, BS8611 Robots and robotic devices, is written in the dry language of a health and safety manual, but the undesirable scenarios it highlights could be taken directly from fiction. Robot deception, robot addiction and the possibility of self-learning systems exceeding their remits are all noted as hazards that manufacturers should consider.

 

 

World’s first baby born with new “3 parent” technique — from newscientist.com by Jessica Hamzelou

Excerpt:

It’s a boy! A five-month-old boy is the first baby to be born using a new technique that incorporates DNA from three people, New Scientist can reveal. “This is great news and a huge deal,” says Dusko Ilic at King’s College London, who wasn’t involved in the work. “It’s revolutionary.”

The controversial technique, which allows parents with rare genetic mutations to have healthy babies, has only been legally approved in the UK. But the birth of the child, whose Jordanian parents were treated by a US-based team in Mexico, should fast-forward progress around the world, say embryologists.

 

 

Scientists Grow Full-Sized, Beating Human Hearts From Stem Cells — from popsci.com by Alexandra Ossola
It’s the closest we’ve come to growing transplantable hearts in the lab

Excerpt:

Of the 4,000 Americans waiting for heart transplants, only 2,500 will receive new hearts in the next year. Even for those lucky enough to get a transplant, the biggest risk is the their bodies will reject the new heart and launch a massive immune reaction against the foreign cells. To combat the problems of organ shortage and decrease the chance that a patient’s body will reject it, researchers have been working to create synthetic organs from patients’ own cells. Now a team of scientists from Massachusetts General Hospital and Harvard Medical School has gotten one step closer, using adult skin cells to regenerate functional human heart tissue, according to a study published recently in the journal Circulation Research.

 

 

 

Achieving trust through data ethics — from sloanreview.mit.edu
Success in the digital age requires a new kind of diligence in how companies gather and use data.

Excerpt:

A few months ago, Danish researchers used data-scraping software to collect the personal information of nearly 70,000 users of a major online dating site as part of a study they were conducting. The researchers then published their results on an open scientific forum. Their report included the usernames, political leanings, drug usage, and other intimate details of each account.

A firestorm ensued. Although the data gathered and subsequently released was already publicly available, many questioned whether collecting, bundling, and broadcasting the data crossed serious ethical and legal boundaries.

In today’s digital age, data is the primary form of currency. Simply put: Data equals information equals insights equals power.

Technology is advancing at an unprecedented rate — along with data creation and collection. But where should the line be drawn? Where do basic principles come into play to consider the potential harm from data’s use?

 

 

“Data Science Ethics” course — from the University of Michigan on edX.org
Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making.

About this course
As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right away, without appreciating the possible consequences of their work.

This course focused on ethics specifically related to data science will provide you with the framework to analyze these concerns. This framework is based on ethics, which are shared values that help differentiate right from wrong. Ethics are not law, but they are usually the basis for laws.

Everyone, including data scientists, will benefit from this course. No previous knowledge is needed.

 

 

 

Science, Technology, and the Future of Warfare — from mwi.usma.edu by Margaret Kosal

Excerpt:

We know that emerging innovations within cutting-edge science and technology (S&T) areas carry the potential to revolutionize governmental structures, economies, and life as we know it. Yet, others have argued that such technologies could yield doomsday scenarios and that military applications of such technologies have even greater potential than nuclear weapons to radically change the balance of power. These S&T areas include robotics and autonomous unmanned system; artificial intelligence; biotechnology, including synthetic and systems biology; the cognitive neurosciences; nanotechnology, including stealth meta-materials; additive manufacturing (aka 3D printing); and the intersection of each with information and computing technologies, i.e., cyber-everything. These concepts and the underlying strategic importance were articulated at the multi-national level in NATO’s May 2010 New Strategic Concept paper: “Less predictable is the possibility that research breakthroughs will transform the technological battlefield…. The most destructive periods of history tend to be those when the means of aggression have gained the upper hand in the art of waging war.”

 

 

Low-Cost Gene Editing Could Breed a New Form of Bioterrorism — from bigthink.com by Philip Perry

Excerpt:

2012 saw the advent of gene editing technique CRISPR-Cas9. Now, just a few short years later, gene editing is becoming accessible to more of the world than its scientific institutions. This new technique is now being used in public health projects, to undermine the ability of certain mosquitoes to transmit disease, such as the Zika virus. But that initiative has had many in the field wondering whether it could be used for the opposite purpose, with malicious intent.

Back in February, U.S. National Intelligence Director James Clapper put out a Worldwide Threat Assessment, to alert the intelligence community of the potential risks posed by gene editing. The technology, which holds incredible promise for agriculture and medicine, was added to the list of weapons of mass destruction.

It is thought that amateur terrorists, non-state actors such as ISIS, or rouge states such as North Korea, could get their hands on it, and use this technology to create a bioweapon such as the earth has never seen, causing wanton destruction and chaos without any way to mitigate it.

 

What would happen if gene editing fell into the wrong hands?

 

 

 

Robot nurses will make shortages obsolete — from thedailybeast.com by Joelle Renstrom
By 2022, one million nurse jobs will be unfilled—leaving patients with lower quality care and longer waits. But what if robots could do the job?

Excerpt:

Japan is ahead of the curve when it comes to this trend, given that its elderly population is the highest of any country. Toyohashi University of Technology has developed Terapio, a robotic medical cart that can make hospital rounds, deliver medications and other items, and retrieve records. It follows a specific individual, such as a doctor or nurse, who can use it to record and access patient data. Terapio isn’t humanoid, but it does have expressive eyes that change shape and make it seem responsive. This type of robot will likely be one of the first to be implemented in hospitals because it has fairly minimal patient contact, works with staff, and has a benign appearance.

 

 

 

partnershiponai-sept2016

 

Established to study and formulate best practices on AI technologies, to advance the public’s understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society.

 

GOALS

Support Best Practices
To support research and recommend best practices in areas including ethics, fairness, and inclusivity; transparency and interoperability; privacy; collaboration between people and AI systems; and of the trustworthiness, reliability, and robustness of the technology.

Create an Open Platform for Discussion and Engagement
To provide a regular, structured platform for AI researchers and key stakeholders to communicate directly and openly with each other about relevant issues.

Advance Understanding
To advance public understanding and awareness of AI and its potential benefits and potential costs to act as a trusted and expert point of contact as questions/concerns arise from the public and others in the area of AI and to regularly update key constituents on the current state of AI progress.

 

 

 

IBM Watson’s latest gig: Improving cancer treatment with genomic sequencing — from techrepublic.com by Alison DeNisco
A new partnership between IBM Watson Health and Quest Diagnostics will combine Watson’s cognitive computing with genetic tumor sequencing for more precise, individualized cancer care.

 

 



Addendum on 11/1/16:



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:

Dear Francesca, Eric, Mustafa, Yann, Ralf, Demis and others at IBM, Microsoft, Google, Facebook and Amazon.

The Partnership on AI to benefit people and society is a welcome change from the usual celebration of disruption and magic technological progress. I hope it will also usher in a more holistic discussion about the global ethics of the digital age. Your announcement also coincides with the launch of my book Technology vs. Humanity which dramatises this very same question: How will technology stay beneficial to society?

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.

 

 

Preparing for the future of Artificial Intelligence
Executive Office of the President
National Science & Technology Council
Committee on Technology
October 2016

preparingfor-futureai-usgov-oct2016

Excerpt:

As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further action s by Federal agencies and other actors. A companion document lays out a strategic plan for Federally-funded research and development in AI. Additionally, in the coming months, the Administration will release a follow-on report exploring in greater depth the effect of AI-driven automation on jobs and the economy.

The report was developed by the NSTC’s Subcommittee on Machine Learning and Artificial Intelligence, which was chartered in May 2016 to foster interagency coordination, to provide technical and policy advice on topics related to AI, and to monitor the development of AI technologies across industry, the research community, and the Federal Government. The report was reviewed by the NSTC Committee on Technology, which concurred with its contents. The report follows a series of public-outreach activities spearheaded by the White House Office of Science and Technology Policy (OSTP) in 2016, which included five public workshops co-hosted with universities and other associations that are referenced in this report.

In the coming years, AI will continue to contribute to economic growth and will be a valuable tool for improving the world, as long as industry, civil society, and government work together to develop the positive aspects of the technology, manage its risks and challenges, and ensure that everyone has the opportunity to help in building an AI-enhanced society and to participate in its benefits.

 

 

 

Our latest way to bring your government to you — from whitehouse.gov
Why we’re open-sourcing the code for the first-ever government bot on Facebook Messenger.

 

botgif

Excerpt:

On August 26th, President Obama publicly responded to a Facebook message sent to him by a citizen—a first for any president in history. Since then, he has received over one and a half million Facebook messages, sent from people based all around the world.

While receiving messages from the public isn’t a recent phenomenon—every day, the White House receives thousands of phone calls, physical letters, and submissions through our online contact form—being able to contact the President through Facebook has never been possible before. Today [10/14/16], it’s able to happen because of the first-ever government bot on Facebook messenger.

 

 

Also see:

 

 

 

Education Department Strips Authority of Largest For-Profit Accreditor — from usnews.com by Lauren Camera
The potential death blow follows intense federal scrutiny of the Accrediting Council for Independent Colleges and Schools.

Excerpt:

The Department of Education officially stripped the Accrediting Council for Independent Colleges and Schools – the largest accrediting agency of for-profit colleges and universities – of its authority Thursday, handing down the final blow in a long controversy over the council’s ability to be an effective watchdog for students and billions of taxpayer dollars.

“I am terminating the department’s recognition of ACICS as a national recognized accrediting agency,” Emma Vadehra, chief of staff to the education secretary, wrote in a letter to the organization. “ACICS’s track record does not inspire confidence that it can address all of the problems effectively.”

The decision comes after a federal panel voted to shut ACICS down in June amid intense criticism of the council for its loose oversight of educational institutions. ACICS was the accrediting agency for now-shuttered Corinthian Colleges and ITT Technical Institute campuses.

 

If you doubt that we are on an exponential pace of change, you need to check these articles out! [Christian]

exponentialpaceofchange-danielchristiansep2016

 

From DSC:
The articles listed in
this PDF document demonstrate the exponential pace of technological change that many nations across the globe are currently experiencing and will likely be experiencing for the foreseeable future. As we are no longer on a linear trajectory, we need to consider what this new trajectory means for how we:

  • Educate and prepare our youth in K-12
  • Educate and prepare our young men and women studying within higher education
  • Restructure/re-envision our corporate training/L&D departments
  • Equip our freelancers and others to find work
  • Help people in the workforce remain relevant/marketable/properly skilled
  • Encourage and better enable lifelong learning
  • Attempt to keep up w/ this pace of change — legally, ethically, morally, and psychologically

 

PDF file here

 

One thought that comes to mind…when we’re moving this fast, we need to be looking upwards and outwards into the horizons — constantly pulse-checking the landscapes. We can’t be looking down or be so buried in our current positions/tasks that we aren’t noticing the changes that are happening around us.

 

 

 

Public Input and Next Steps on the Future of Artificial Intelligence — from whitehouse.gov by Ed Felten and Terah Lyons

Summary:

Today, OSTP is releasing public comments on AI, sharing insights from events across the country, and announcing a new White House event on AI this fall.

 

 

See also:

whitehouseai-sept2016

 

FACT SHEET: ED Launches Initiative for Low-Income Students to Access New Generation Of Higher Education Providers — from ed.gov

Excerpt:

[On 8/16/16], the U.S. Department of Education (ED) is inviting eight selected partnerships between institutions of higher education and non-traditional providers to participate in the EQUIP (Educational Quality through Innovation Partnerships) experiment.

These partnerships will allow students—particularly low-income students—to access federal student aid for the first time to enroll in programs offered by non-traditional training providers, in partnership with colleges and universities, including coding bootcamps, online courses, and employer organizations. The goals of the experiment are to: (1) test new ways of allowing Americans from all backgrounds to access innovative learning and training opportunities that lead to good jobs, but that fall outside the current financial aid system; and (2) strengthen approaches for outcomes-based quality assurance processes that focus on student learning and other outcomes. The experiment aims to promote and measure college access, affordability, and student outcomes.

 

 

Obama Administration to Fund Nontraditional Training for Students — from wsj.com
Education Department will give up to $17 million in loans and grants for training at eight entities that aren’t traditional colleges

Excerpt:

WASHINGTON—The Obama administration will inject millions of dollars into a group of nontraditional education providers to address a vexing problem: Many Americans are leaving college with debt but without skills the economy needs.

The administration is turning to the private sector for help. In a novel experiment, the Education Department announced Tuesday up to $17 million in loans and grants for students to undergo training at eight entities that aren’t traditional colleges. Most are for-profit companies. They include coding academies such as New York startup Flatiron School and Portland, Ore.-based Epicodus, as well as websites such as Study.com and StraighterLine that provide online courses at reduced costs.

The one that stands out from the group is corporate giant General Electric Co., which won’t receive funds directly but will provide training at one of its jet-engine plants under the program.

The program, called Educational Quality through Innovative Partnerships, or Equip, is designed to enable low-income Americans to learn skills in areas where colleges often fall short, such as learning how to write computer code, or using new software to operate high-tech manufacturing equipment to make jet engines.

 

 

 

Can’t Afford Coding Camp? The Feds May Have a Loan for You — from wired.com by Issie Lapowsky

Excerpt:

A new Department of Education program focused on skills training aims to address that second part. Announced last year, the so-called Educational Quality through Innovation Partnerships program will offer federal student aid to students enrolled at non-traditional institutions like coding bootcamps and skills-training programs.

[On 8/16/16], the Department of Education revealed the eight organizations and educational institutions with programs that will be covered as part of the EQUIP pilot program. For now, the programs are located on both coasts and in Texas. They include bootcamps like The Flatiron School, as well as newly launched training programs from companies like General Electric. The Department of Education chose the programs from dozens of applications, and each organization will partner with an established, accredited college or university. Meanwhile, third-party quality assurance partners have signed up to monitor students’ results.

 

 

 

IBM made a ‘crash course’ for the White House, and it’ll teach you all the AI basics — from futurism.com by Ramon Perez

Summary:

With the current AI revolution, comes a flock of skeptics. Alarmed of what AI could be in the near future, the White House released a Notice of Request For Information (RFI) on it. In response, IBM has created what seems to be an AI 101, giving a good sense of the current state, future, and risks of AI.

 

 

Also see:

 

FedGovt-Request4Info-June2016

 

 

 

A call to arms against the hacker hordes — from sloanreview.mit.edu by Theodore Kinni

Excerpt (emphasis DSC):

Attribution and retribution in the fight against cybercrime: Imagine being enthroned at the end of the long table in the C-suite. You’ve got riches beyond imagination at your disposal; tens of thousands of vassals are toiling day and night for you. Your knights surround you, awaiting your command. And, at this very moment, some evil-minded jester with a computer and an Internet connection is breaching the castle walls.

But wait, is that a war horn you hear in the distance? Yes, it’s the lawyers from Steptoe & Johnson riding to your rescue. Enough, says partner Stewart Baker and trusty clerk Victoria Muth in an article for Brink. “It’s pretty clear that building higher walls around our networks is a dead end. So is tighter scrutiny and control over what happens on the network,” they write. “Government is failing us…, too.” The solution? Fight back.

Attribution and retribution are the weapons in this counterattack. “It might mean building ‘beacons’ into documents so that when they are opened by attackers, they phone home to alert defenders that their information was compromised,” suggest Baker and Muth. “It might mean using information provided by beacons to compromise the attackers’ network and gather evidence as to the attackers’ identities. It might mean stopping a DDOS attack by taking over the botnet, or by patching the vulnerability by which the botnet conscripted third-party machines.”

 

 

Also see:

Machine Learning – New Weapon in the Hacking Wars?  — from by Ed Featherston
@CloudExpo #API #Cloud #BigData #MachineLearning

Excerpt:

It feels like the barbarians are continually at the gate. We can’t seem to go more than a week before a new data breach is in the news, impacting potentially millions of individuals. The targets range from companies like Omni Hotels, which had been breached affecting up to 50,000 customers whose personal and credit card information was exposed, to North Carolina State University, where over 38,000 students’ personal information, including their SSNs, were at risk. As I mentioned in a recent blog ‘Internet of Things and Big Data – who owns your data?‘, we have been storing our personal and credit card information in a variety of systems, credit card companies, banks, online retailers, hotels – and that’s just naming a few. The information in those systems is more valuable than gold to the hackers. The hacker attacks are constant, creative, and changing frequently.

 

 

IBM is training Watson to hunt hackers — from washingtonpost.com by Andrea Peterson

Excerpt:

Watson, IBM’s computer brain, has a lot of talents. It mastered “Jeopardy!,” it cooks, and even tries to cure cancer. But now, it’s training for a new challenge: Hunting hackers.

On [May10th, 2016], IBM Security announced a new cloud-based version of the cognitive technology, dubbed “Watson for Cybersecurity.” In the fall, IBM will be partnering with eight universities to help get Watson up to speed by flooding it with security reports and data.

 

 

 

From DSC:
I try never to judge anyone, as I don’t want to be judged (Matthew 7:1).  I try to extend grace, as I, myself, have nothing to stand on.

That said, I struggle with how to deal with and view hackers.  Daily, they wreak havoc on institutions and individuals throughout the globe — causing billions of dollars of damage.

I’m amazed at the lack of punishment dealt out to hackers. Our governments don’t step in, likely because they are all trying to hack each others’ systems as well.

But the individual and group-based hackers out there have created an underground economy…where one wakes up and goes to the office and hacks away, all for making some coin — just like a normal job evidently.  These hackers have smarts, know-how, and intelligence — but they have chosen to put it towards destructive purposes.  And there doesn’t seem to be any fear involved in doing so. 

Well, that needs to stop! There needs to be major punishment for those who hack.

That’s why the articles above caught my eye. We need to fight back against the hackers. We need to release serious damage to their systems, networks, hardware and software — just as they do to ours.

I don’t like to take this stance. I don’t like to even use the words “fight back.” But there is warfare going on — and fear needs to enter the equation for those who would resort to hacking.

BTW, I’m even nervous about posting this item…as some hacker could come after my site. If so, I hope to be back up and running again soon. But if not…yet another one bites the dust.

 

 

 

What will higher education look like 5, 10 or 20 years from now? — from goodcall.com by Donna Fuscaldo

Excerpts:

  • More Focus on ROI
    Students and families will focus more on college return on investment, affordability and student loan debt
    Over the next five years, D’Amico sees a shift happening, where potential students will weigh college return on investment, including the outcomes of the past students, job prospects upon graduation and the overall college experience more seriously than whether a school has a state-of-the-art gym. Similar to how people get real-person reviews of restaurants, doctors and other services, the same diligence will be applied to shopping for college.
  • Blending the Traditional and the Technological
    Internet will play bigger role in learning
    …progress will continue to be made in marrying a traditional college education with online classes. The Internet is increasingly becoming a tool for colleges and universities around the country who see the value it can bring.
  • Greater Accountability
    Schools will be more accountable to students and graduates

 

 

 

DecadeAhead-Chronicle-PublishedIn2016

 

2026 The Decade Ahead — from the Chronicle of Higher Education by Jeff Selingo

Description:
What changes are in store for higher education over the next 10 years? Evolutionary shifts in three critical areas will have significant consequences for students and institutions as a whole.

Tomorrow’s students will be significantly more diverse and demand lower tuition costs. Faculty tenure policies will be reexamined as deep-seated Boomers retire. And how colleges are preparing students to succeed in an evolving global economy will be intensely scrutinized. What does this mean for your institution?

Digital Edition: $149.00
Print Edition:   $199.00

 

 

The Midwest, which produces 100,000 more graduates than the Northeast in any given year, will face an even steeper decline. The biggest producers of high schools graduates in the Midwest — Ohio, Michigan, and Illinois — will all experience historic downturns, with Michigan ending with 86,000 fewer graduates by 2028, a nearly 30 percent drop from 2009. (p.10)

 

 

Since 2007, 72 institutions have shut down, nearly all of them with enrollments of less than 1,000. The report outlined six different factors facing higher education institutions in the future, including small size, no online programs, tuition discount rates greater than 35%, and deficit spending. (p.19)

 

 

 

 

We can do nothing to change the past, but we have enormous power to shape the future. Once we grasp that essential insight, we recognize our responsibility and capability for building our dreams of tomorrow and avoiding our nightmares.

–Edward Cornish

 


From DSC:
This posting represents Part VI in a series of such postings that illustrate how quickly things are moving (Part I, Part II, Part III, Part IV, Part V, and to ask:

  • How do we collectively start talking about the future that we want?
  • How do we go about creating our dreams, not our nightmares?
  • Most certainly, governments will be involved….but who else should be involved in these discussions? Shouldn’t each one of us participate in some way, shape, or form?

 

 

AIsWhiteGuyProblem-NYTimes-June2016

 

Artificial Intelligence’s White Guy Problem — from nytimes.com by Kate Crawford

Excerpt:

But this hand-wringing is a distraction from the very real problems with artificial intelligence today, which may already be exacerbating inequality in the workplace, at home and in our legal and judicial systems. Sexism, racism and other forms of discrimination are being built into the machine-learning algorithms that underlie the technology behind many “intelligent” systems that shape how we are categorized and advertised to.

If we look at how systems can be discriminatory now, we will be much better placed to design fairer artificial intelligence. But that requires far more accountability from the tech community. Governments and public institutions can do their part as well: As they invest in predictive technologies, they need to commit to fairness and due process.

 

 

Facebook is using artificial intelligence to categorize everything you write — from futurism.com

Excerpt:

Facebook has just revealed DeepText, a deep learning AI that will analyze everything you post or type and bring you closer to relevant content or Facebook services.

 

 

March of the machines — from economist.com
What history tells us about the future of artificial intelligence—and how society should respond

Excerpt:

EXPERTS warn that “the substitution of machinery for human labour” may “render the population redundant”. They worry that “the discovery of this mighty power” has come “before we knew how to employ it rightly”. Such fears are expressed today by those who worry that advances in artificial intelligence (AI) could destroy millions of jobs and pose a “Terminator”-style threat to humanity. But these are in fact the words of commentators discussing mechanisation and steam power two centuries ago. Back then the controversy over the dangers posed by machines was known as the “machinery question”. Now a very similar debate is under way.

After many false dawns, AI has made extraordinary progress in the past few years, thanks to a versatile technique called “deep learning”. Given enough data, large (or “deep”) neural networks, modelled on the brain’s architecture, can be trained to do all kinds of things. They power Google’s search engine, Facebook’s automatic photo tagging, Apple’s voice assistant, Amazon’s shopping recommendations and Tesla’s self-driving cars. But this rapid progress has also led to concerns about safety and job losses. Stephen Hawking, Elon Musk and others wonder whether AI could get out of control, precipitating a sci-fi conflict between people and machines. Others worry that AI will cause widespread unemployment, by automating cognitive tasks that could previously be done only by people. After 200 years, the machinery question is back. It needs to be answered.

 

As technology changes the skills needed for each profession, workers will have to adjust. That will mean making education and training flexible enough to teach new skills quickly and efficiently. It will require a greater emphasis on lifelong learning and on-the-job training, and wider use of online learning and video-game-style simulation. AI may itself help, by personalising computer-based learning and by identifying workers’ skills gaps and opportunities for retraining.

 

 

Backlash-Data-DefendantsFutures-June2016

 

In Wisconsin, a Backlash Against Using Data to Foretell Defendants’ Futures — from nytimes.com by Mitch Smith

Excerpt:

CHICAGO — When Eric L. Loomis was sentenced for eluding the police in La Crosse, Wis., the judge told him he presented a “high risk” to the community and handed down a six-year prison term.

The judge said he had arrived at his sentencing decision in part because of Mr. Loomis’s rating on the Compas assessment, a secret algorithm used in the Wisconsin justice system to calculate the likelihood that someone will commit another crime.

Compas is an algorithm developed by a private company, Northpointe Inc., that calculates the likelihood of someone committing another crime and suggests what kind of supervision a defendant should receive in prison. The results come from a survey of the defendant and information about his or her past conduct. Compas assessments are a data-driven complement to the written presentencing reports long compiled by law enforcement agencies.

 

 

Google Tackles Challenge of How to Build an Honest Robot — from bloomberg.com by

Excerpt:

Researchers at Alphabet Inc. unit Google, along with collaborators at Stanford University, the University of California at Berkeley, and OpenAI — an artificial intelligence development company backed by Elon Musk — have some ideas about how to design robot minds that won’t lead to undesirable consequences for the people they serve. They published a technical paper Tuesday outlining their thinking.

The motivation for the research is the immense popularity of artificial intelligence, software that can learn about the world and act within it. Today’s AI systems let cars drive themselves, interpret speech spoken into phones, and devise trading strategies for the stock market. In the future, companies plan to use AI as personal assistants, first as software-based services like Apple Inc.’s Siri and the Google Assistant, and later as smart robots that can take actions for themselves.

But before giving smart machines the ability to make decisions, people need to make sure the goals of the robots are aligned with those of their human owners.

 

 

Policy paper | Data Science Ethical Framework — from gov.uk
From: Cabinet Office, Government Digital Service and The Rt Hon Matt Hancock MP
First published: 19 May 2016
Part of: Government transparency and accountability

This framework is intended to give civil servants guidance on conducting data science projects, and the confidence to innovate with data.

Detail: Data science provides huge opportunities for government. Harnessing new forms of data with increasingly powerful computer techniques increases operational efficiency, improves public services and provides insight for better policymaking. We want people in government to feel confident using data science techniques to innovate. This guidance is intended to bring together relevant laws and best practice, to give teams robust principles to work with. The publication is a first version that we are asking the public, experts, civil servants and other interested parties to help us perfect and iterate. This will include taking on evidence from a public dialogue on data science ethics. It was published on 19 May by the Minister for Cabinet Office, Matt Hancock. If you would like to help us iterate the framework, find out how to get in touch at the end of this blog.

 

 

 

WhatsNextForAI-June2016

Excerpt (emphasis DSC):

We need to update the New Deal for the 21st century and establish a trainee program for the new jobs artificial intelligence will create. We need to retrain truck drivers and office assistants to create data analysts, trip optimizers and other professionals we don’t yet know we need. It would have been impossible for an antebellum farmer to imagine his son becoming an electrician, and it’s impossible to say what new jobs AI will create. But it’s clear that drastic measures are necessary if we want to transition from an industrial society to an age of intelligent machines.

The next step in achieving human-level ai is creating intelligent—but not autonomous—machines. The AI system in your car will get you safely home, but won’t choose another destination once you’ve gone inside. From there, we’ll add basic drives, along with emotions and moral values. If we create machines that learn as well as our brains do, it’s easy to imagine them inheriting human-like qualities—and flaws.

 

 

DARPA to Build “Virtual Data Scientist” Assistants Through A.I. — from inverse.com by William Hoffman
A.I. will make up for the lack of data scientists.

Excerpt:

The Defense Advanced Research Projects Agency (DARPA) announced on Friday the launch of Data-Driven Discovery of Models (D3M), which aim to help non-experts bridge what it calls the “data-science expertise gap” by allowing artificial assistants to help people with machine learning. DARPA calls it a “virtual data scientist” assistant.

This software is doubly important because there’s a lack of data scientists right now and a greater demand than ever for more data-driven solutions. DARPA says experts project 2016 deficits of 140,000 to 190,000 data scientists worldwide, and increasing shortfalls in coming years.

 

 

Robot that chooses to inflict pain sparks debate about AI systems — from interestingengineering.com by Maverick Baker

Excerpt:

A robot built by roboticist Alexander Reben from the University of Berkeley, California has the ability to decide using AI whether or not to inflict pain.

The robot aims to spark a debate on if an AI system can get out of control, reminiscent of the terminator. The robot design is incredibly simple, designed to serve only one purpose; to decide whether or not to inflict pain. The robot was engineered by Alexander Reben of the University of Berkeley and was published in a scientific journal aimed to spark a debate on whether or not artificial intelligent robots can get out of hand if given the opportunity.

 

 

The NSA wants to spy on the Internet of Things. Everything from thermostats to pacemakers could be mined for intelligence data. — from engadget.com by Andrew Dalton

Excerpt:

We already know the National Security Agency is all up in our data, but the agency is reportedly looking into how it can gather even more foreign intelligence information from internet-connected devices ranging from thermostats to pacemakers. Speaking at a military technology conference in Washington D.C. on Friday, NSA deputy director Richard Ledgett said the agency is “looking at it sort of theoretically from a research point of view right now.” The Intercept reports Ledgett was quick to point out that there are easier ways to keep track of terrorists and spies than to tap into any medical devices they might have, but did confirm that it was an area of interest.

 

 

The latest tool in the NSA’s toolbox? The Internet of Things — from digitaltrends.com by Lulu Chang

Excerpt:

You may love being able to set your thermostat from your car miles before you reach your house, but be warned — the NSA probably loves it too. On Friday, the National Security Agency — you know, the federal organization known for wiretapping and listening it on U.S. citizens’ conversations — told an audience at Washington’s Newseum that it’s looking into using the Internet of Things and other connected devices to keep tabs on individuals.

 


Addendum on 6/29/16:

 

Addendums on 6/30/16

 

Addendum on 7/1/16

  • Humans are willing to trust chatbots with some of their most sensitive information — from businessinsider.com by Sam Shead
    Excerpt:
    A study has found that people are inclined to trust chatbots with sensitive information and that they are open to receiving advice from these AI services. The “Humanity in the Machine” report —published by media agency Mindshare UK on Thursday — urges brands to engage with customers through chatbots, which can be defined as artificial intelligence programmes that conduct conversations with humans through chat interfaces.

 

 

 

 

12,000 incarcerated students to enroll in postsecondary educational and training programs through Education Department’s new Second Chance Pell Pilot Program — from ed.gov
Partnerships between postsecondary and penal institutions allow incarcerated individuals to access Pell grants for correctional education

Excerpt:

The Department of Education announced today 67 colleges and universities selected to participate in the new Second Chance Pell pilot program, an experiment announced in July 2015 to test whether participation in high quality education programs increases after expanding access to financial aid for incarcerated individuals. The pilot program will allow eligible incarcerated Americans to receive Pell Grants and pursue postsecondary education with the goal of helping them get jobs and support their families when they are released. Today’s announcement builds on the Obama Administration’s commitment to create a fairer and more effective criminal justice system, reduce recidivism, and combat the impact of mass incarceration on families and communities through educational opportunity.

 

Feds propose decertifying accreditor of for-profit colleges — from wsj.com by Douglas Belkin

Excerpt:

The Education Department on Wednesday recommended that the organization that accredits many of the nation’s for-profit colleges and vocational schools shouldn’t be recognized, a step that could threaten access to nearly $5 billion in federal financial aid for more than 800,000 students.

The decision also has the potential to hasten the consolidation of the for-profit college sector as it could drive out of business many schools that lose access to student loans as well as students leery of attending schools under the regulatory microscope.

The move could mean the sector, already in decline amid tightening federal regulation, “will implode even faster,” said Trace Urdan, managing director at Credit Suisse and a longtime analyst of the for-profit college industry. “There will be significant consolidation ahead, a lot of people will lose their jobs, there will be fewer choices in the market but the schools that do survive will have a sort of double bonus, a clean bill of health and less competition.”

 

We can do nothing to change the past, but we have enormous power to shape the future. Once we grasp that essential insight, we recognize our responsibility and capability for building our dreams of tomorrow and avoiding our nightmares.

–Edward Cornish

 


From DSC:
This is the fifth posting in a series that highlights the need for us to consider the ethical implications of the technologies that are currently being developed.  What kind of future do we want to have?  How can we create dreams, not nightmares?

In regards to robotics, algorithms, and business, I’m hopeful that the C-suites out there will keep the state of their fellow mankind in mind when making decisions. Because if all’s we care about is profits, the C-suites out there will gladly pursue lowering costs, firing people, and throwing their fellow mankind right out the window…with massive repercussions to follow.  After all, we are the shareholders…let’s not shoot ourselves in the foot. Let’s aim for something higher than profits.  Businesses should have a higher calling/purpose. The futures of millions of families are at stake here. Let’s consider how we want to use robotics, algorithms, AI, etc. — for our benefit, not our downfall.

Other postings:
Part I | Part II | Part III | Part IV

 


 

ethics-mary-meeker-june2016

From page 212 of
Mary Meeker’s annual report re: Internet Trends 2016

 

 

The White House is prepping for an AI-powered future — from wired.com by April Glaser

Excerpt (emphasis DSC):

Researchers disagree on when artificial intelligence that displays something like human understanding might arrive. But the Obama administration isn’t waiting to find out. The White House says the government needs to start thinking about how to regulate and use the powerful technology while it is still dependent on humans.

“The public should have an accurate mental model of what we mean when we say artificial intelligence,” says Ryan Calo, who teaches law at University of Washington. Calo spoke last week at the first of four workshops the White House hosts this summer to examine how to address an increasingly AI-powered world.

“One thing we know for sure is that AI is making policy challenges already, such as how to make sure the technology remains safe, controllable, and predictable, even as it gets much more complex and smarter,” said Ed Felten, the deputy US chief of science and technology policy leading the White House’s summer of AI research. “Some of these issues will become more challenging over time as the technology progresses, so we’ll need to keep upping our game.”

 

 

Meet ‘Ross,’ the newly hired legal robot — from washingtonpost.com by Karen Turner

Excerpt:

One of the country’s biggest law firms has become the first to publicly announce that it has “hired” a robot lawyer to assist with bankruptcy cases. The robot, called ROSS, has been marketed as “the world’s first artificially intelligent attorney.”

ROSS has joined the ranks of law firm BakerHostetler, which employs about 50 human lawyers just in its bankruptcy practice. The AI machine, powered by IBM’s Watson technology, will serve as a legal researcher for the firm. It will be responsible for sifting through thousands of legal documents to bolster the firm’s cases. These legal researcher jobs are typically filled by fresh-out-of-school lawyers early on in their careers.

 

 

Confidential health care data divulged to Google’s DeepMind for new app — from futurism.com by Sarah Marquart

Excerpts (emphasis DSC):

Google DeepMind’s new app Streams hopes to use patient data to monitor kidney disease patients. In the process, they gained confidential data on more than 1.6 million patients, and people aren’t happy.

This sounds great, but the concern lies in exactly what kind of data Google has access to. There are no separate statistics available for people with kidney conditions, so the company was given access to all data including HIV test results, details about abortions, and drug overdoses.

In response to concerns about privacy, The Royal Free Trust said the data will remain encrypted so Google staff should not be able to identify anyone.

 

 

Two questions for managers of learning machines — from sloanreview.mit.edu by Theodore Kinni

Excerpt:

The first, which Dhar takes up in a new article on TechCrunch, is how to “design intelligent learning machines that minimize undesirable behavior.” Pointing to two high-profile juvenile delinquents, Microsoft’s Tay and Google’s Lexus, he reminds us that it’s very hard to control AI machines in complex settings.

The second question, which Dhar explores in an article for HBR.org, is when and when not to allow AI machines to make decisions.

 

 

All stakeholders must engage in learning analytics debate — from campustechnology.com by David Raths

Excerpt:

An Ethics Guide for Analytics?
During the Future Trends Forum session [with Bryan Alexander and George Siemens], Susan Adams, an instructional designer and faculty development specialist at Oregon Health and Science University, asked Siemens if he knew of any good ethics guides to how universities use analytics.

Siemens responded that the best guide he has seen so far was developed by the Open University in the United Kingdom. “They have a guide about how it will be used in the learning process, driven from the lens of learning rather than data availability,” he said.

“Starting with ethics is important,” he continued. “We should recognize that if openness around algorithms and learning analytics practices is important to us, we should be starting to make that a conversation with vendors. I know of some LMS vendors where you actually buy back your data. Your students generate it, and when you want to analyze it, you have to buy it back. So we should really be asking if it is open. If so, we can correct inefficiencies. If an algorithm is closed, we don’t know how the dials are being spun behind the scenes. If we have openness around pedagogical practices and algorithms used to sort and influence our students, we at least can change them.”

 

 

From DSC:
Though I’m generally a fan of Virtual Reality (VR) and Augmented Reality (AR), we need to be careful how we implement it or things will turn out as depicted in this piece from The Verge. We’ll need filters or some other means of opting in and out of what we want to see.

 

AR-Hell-May2016

 

 

What does ethics have to do with robots? Listen to RoboPsych Podcast discussion with roboticist/lawyer Kate Darling https://t.co/WXnKOy8UO2
— RoboPsych (@RoboPsychCom) April 25, 2016

 

 

 

Retail inventory robots could replace the need for store employees — from interestingengineering.com by Trevor English

Excerpt:

There are currently many industries that will likely be replaced with robots in the coming future, and with retail being one of the biggest industries across the world, it is no wonder that robots will slowly begin taking human’s jobs. A robot named Tory will perform inventory tasks throughout stores, as well as have the capability of directing customers to where what they are looking for is. Essentially, a customer will type in a product into the robot’s interactive touch screen, and it will start driving to the exact location. It will also conduct inventory using RFID scanners, and overall, it will make the retail process much more efficient. Check out the video below from the German Robotics company Metre Labs who are behind the retail robot.

 

RobotsRetail-May2016

 

From DSC:
Do we really want to do this?  Some say the future will be great when the robots, algorithms, AI, etc. are doing everything for us…while we can just relax. But I believe work serves a purpose…gives us a purpose.  What are the ramifications of a society where people are no longer working?  Or is that a stupid, far-fetched question and a completely unrealistic thought?

I’m just pondering what the ramifications might be of replacing the majority of human employees with robots.  I can understand about using robotics to assist humans, but when we talk about replacing humans, we had better look at the big picture. If not, we may be taking the angst behind the Occupy Wall Street movement from years ago and multiplying it by the thousands…perhaps millions.

 

 

 

 

Automakers, consumers both must approach connected cars cautiously — from nydailynews.com by Kyle Campbell
Several automakers plan to have autonomous cars ready for the public by 2030, a development that could pose significant safety and security concerns.

Excerpt:

We’re living in the connected age. Phones can connect wirelessly to computers, watches, televisions and anything else with access to Wi-Fi or Bluetooth and money can change hands with a few taps of a screen. Digitalization allows data to flow quicker and more freely than ever before, but it also puts the personal information we entrust it with (financial information, geographic locations and other private details) at a far greater risk of ending up in the wrong hands.

Balancing the seamless convenience customers desire with the security they need is a high-wire act of the highest order, and it’s one that automakers have to master as quickly and as thoroughly as possible.

Because of this, connected cars will potentially (and probably) become targets for hackers, thieves and possibly even terrorists looking to take advantage of the fledgling technology. With a wave of connected cars (220 million by 2020, according to some estimates) ready to flood U.S. roadways, it’s on both manufacturers and consumers to be vigilant in preventing the worst-case scenarios from playing out.

 

 

 

Also, check out the 7 techs being discussed at this year’s Gigaom Change Conference:

 

GigaOMChange-2016

 

 

Scientists are just as confused about the ethics of big-data research as you — wired.com by Sarah Zhang

Excerpt:

And that shows just how untested the ethics of this new field of research is. Unlike medical research, which has been shaped by decades of clinical trials, the risks—and rewards—of analyzing big, semi-public databases are just beginning to become clear.

And the patchwork of review boards responsible for overseeing those risks are only slowly inching into the 21st century. Under the Common Rule in the US, federally funded research has to go through ethical review. Rather than one unified system though, every single university has its own institutional review board, or IRB. Most IRB members are researchers at the university, most often in the biomedical sciences. Few are professional ethicists.

 

 

 

 


Addendums on 6/3 and 6/4/16:

  • Apple supplier Foxconn replaces 60,000 humans with robots in China — from marketwatch.com
    Excerpt:
    The first wave of robots taking over human jobs is upon us. Apple Inc. AAPL, +0.02%  supplier Foxconn Technology Co. 2354, +0.95% has replaced 60,000 human workers with robots in a single factory, according to a report in the South China Morning Post, initially published over the weekend. This is part of a massive reduction in headcount across the entire Kunshan region in China’s Jiangsu province, in which many Taiwanese manufacturers base their Chinese operations.
  • There are now 260,000 robots working in U.S. factories — from marketwatch.com by Jennifer Booton (back from Feb 2016)
    Excerpt:
    There are now more than 260,000 robots working in U.S. factories. Orders and shipments for robots in North America set new records in 2015, according to industry trade group Robotic Industries Association. A total of 31,464 robots, valued at a combined $1.8 billion, were ordered from North American companies last year, marking a 14% increase in units and an 11% increase in value year-over-year.
  • Judgment Day: Google is making a ‘kill-switch’ for AI — from futurism.com
    Excerpt:
    Taking Safety Measures
    DeepMind, Google’s artificial intelligence company, catapulted itself into fame when its AlphaGo AI beat the world champion of Go, Lee Sedol. However, DeepMind is working to do a lot more than beat humans at chess and Go and various other games. Indeed, its AI algorithms were developed for something far greater: To “solve intelligence” by creating general purpose AI that can be used for a host of applications and, in essence, learn on their own.This, of course, raises some concerns. Namely, what do we do if the AI breaks…if it gets a virus…if it goes rogue?In a paper written by researchers from DeepMind, in cooperation with Oxford University’s Future of Humanity Institute, scientists note that AI systems are “unlikely to behave optimally all the time,” and that a human operator may find it necessary to “press a big red button” to prevent such a system from causing harm. In other words, we need a “kill-switch.”
  • Is the world ready for synthetic life? Scientists plan to create whole genomes — from singularityhub.com by Shelly Fan
    Excerpt:
    “You can’t possibly begin to do something like this if you don’t have a value system in place that allows you to map concepts of ethics, beauty, and aesthetics onto our own existence,” says Endy. “Given that human genome synthesis is a technology that can completely redefine the core of what now joins all of humanity together as a species, we argue that discussions of making such capacities real…should not take place without open and advance consideration of whether it is morally right to proceed,” he said.
  • This is the robot that will shepherd and keep livestock healthy — from thenextweb.com
    Excerpt:
    The Australian Centre for Field Robotics (ACFRis no stranger to developing innovative ways of modernizing agriculture. It has previously presented technologies for robots that can measure crop yields and collect data about the quality and variability of orchards, but its latest project is far more ambitious: it’s building a machine that can autonomously run livestock farms. While the ACFR has been working on this technology since 2014, the robot – previously known as ‘Shrimp’ – is set to start a two-year trial next month. Testing will take place at several farms nearby New South Wales province in Australia.

 

 

 

 

 

 

The 2016 Higher Education Online Learning Landscape [Online Learning Consortium]
Today’s students are driving the online learning imperative

Excerpt:

Our new infographic illustrates the key topics and trends currently driving the infusion of online learning in higher education based on the most current research from across the field of higher education.

 

2016onlinelearninglandscape

Download our infographic
to learn more about our perspective
on the changing face of online learning.

 

The infographic highlights a number of trends that are affecting this changing landscape, including:

  • Digital learning opportunities being quickly embraced by today’s students
  • An evolving, growing higher education population seeking ease of access and affordable solutions
  • Rising tuition costs requiring innovative alternatives, particularly for low-income families
  • Growing acceptance and adoption of education technology
  • Academic leaders continued commitment to online learning
  • And the ongoing education conversation in the federal government

 

 

MomentumContinues2Build-2016OnlineLearning

 

 
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