The Global Landscape of Online Program Companies — from by Doug Lederman
New trove of data suggests a bigger, more complex, more varied ecosystem of companies that work with colleges to take their academic programs online.

Excerpt:

A new dataset promises to give college leaders, company officials and others involved in the online learning landscape much more information about who offers what programs, how they manage them and where the money is flowing, among other factors.

And the company behind the new data, Holon IQ, published a report today that gives a new name to the large and diversifying category of providers that are working with colleges to take their programs online: OPX, instead of OPM, for online program management companies. (More on that later.)

Also see:

Also see:

  • Multi-Faculty Collaboration to Design Online General Studies Courses — from facultyfocus.com by B. Jean Mandernach
    Excerpt:
    While this type of autonomy in course design makes sense for the face-to-face classroom, it may be less practical–and less effective–in the context of online education. Simply put, development of a high-quality online course takes considerable time and advanced knowledge of online pedagogy. If multiple faculty members are teaching the same course online (as is often the case with general studies or other high-demand courses), it is not an efficient use of departmental time, resources, or budget to have multiple faculty developing their own online classroom for different sections of the same course.
 

Samsung’s take on the world of 2069 — from newatlas.com by David Szondy

Excerpt:

Samsung is looking forward to what life might be like in the year 2069. The new report, called Samsung KX50: The Future in Focus, draws on the opinions of six of Britain’s leading academics and futurists to look at a range of new technologies that will affect people’s everyday lives.

 

 

 

Uh-oh: Silicon Valley is building a Chinese-style social credit system — from fastcompany.com by Mike Elgan
In China, scoring citizens’ behavior is official government policy. U.S. companies are increasingly doing something similar, outside the law.

Excerpts (emphasis DSC):

Have you heard about China’s social credit system? It’s a technology-enabled, surveillance-based nationwide program designed to nudge citizens toward better behavior. The ultimate goal is to “allow the trustworthy to roam everywhere under heaven while making it hard for the discredited to take a single step,” according to the Chinese government.

In place since 2014, the social credit system is a work in progress that could evolve by next year into a single, nationwide point system for all Chinese citizens, akin to a financial credit score. It aims to punish for transgressions that can include membership in or support for the Falun Gong or Tibetan Buddhism, failure to pay debts, excessive video gaming, criticizing the government, late payments, failing to sweep the sidewalk in front of your store or house, smoking or playing loud music on trains, jaywalking, and other actions deemed illegal or unacceptable by the Chinese government.

IT CAN HAPPEN HERE
Many Westerners are disturbed by what they read about China’s social credit system. But such systems, it turns out, are not unique to China. A parallel system is developing in the United States, in part as the result of Silicon Valley and technology-industry user policies, and in part by surveillance of social media activity by private companies.

Here are some of the elements of America’s growing social credit system.

 

If current trends hold, it’s possible that in the future a majority of misdemeanors and even some felonies will be punished not by Washington, D.C., but by Silicon Valley. It’s a slippery slope away from democracy and toward corporatocracy.

 

From DSC:
Who’s to say what gains a citizen points and what subtracts from their score? If one believes a certain thing, is that a plus or a minus? And what might be tied to someone’s score? The ability to obtain food? Medicine/healthcare? Clothing? Social Security payments? Other?

We are giving a huge amount of power to a handful of corporations…trust comes into play…at least for me. Even internally, the big tech co’s seem to be struggling as to the ethical ramifications of what they’re working on (in a variety of areas). 

Is the stage being set for a “Person of Interest” Version 2.0?

 

Take a tour of Google Earth with speakers of 50 different indigenous languages — from fastcompany.com by Melissa Locker

Excerpt:

After the United Nations declared 2019 the International Year of Indigenous Languages, Google decided to help draw attention to the indigenous languages spoken around the globe and perhaps help preserve some of the endangered ones too. To that end, the company recently launched its first audio-driven collection, a new Google Earth tour complete with audio recordings from more than 50 indigenous language speakers from around the world.

 

 

China has started a grand experiment in AI education. It could reshape how the world learns. — from technologyreview.com by Karen Hao
In recent years, the country has rushed to pursue “intelligent education.” Now its billion-dollar ed-tech companies are planning to export their vision overseas.

Excerpt:

Zhou Yi was terrible at math. He risked never getting into college. Then a company called Squirrel AI came to his middle school in Hangzhou, China, promising personalized tutoring. He had tried tutoring services before, but this one was different: instead of a human teacher, an AI algorithm would curate his lessons. The 13-year-old decided to give it a try. By the end of the semester, his test scores had risen from 50% to 62.5%. Two years later, he scored an 85% on his final middle school exam.

“I used to think math was terrifying,” he says. “But through tutoring, I realized it really isn’t that hard. It helped me take the first step down a different path.”

 

The strategy has fueled mind-boggling growth. In the five years since it was founded, the company has opened 2,000 learning centers in 200 cities and registered over a million students—equal to New York City’s entire public school system. It plans to expand to 2,000 more centers domestically within a year. To date, the company has also raised over $180 million in funding. At the end of last year, it gained unicorn status, surpassing $1 billion in valuation.

 

A new immersive classroom uses AI and VR to teach Mandarin Chinese — from technologyreview.com by Karen Hao
Students will learn the language by ordering food or haggling with street vendors on a virtual Beijing street.

Excerpt:

Often the best way to learn a language is to immerse yourself in an environment where people speak it. The constant exposure, along with the pressure to communicate, helps you swiftly pick up and practice new vocabulary. But not everyone gets the opportunity to live or study abroad.

In a new collaboration with IBM Research, Rensselaer Polytechnic Institute (RPI), a university based in Troy, New York, now offers its students studying Chinese another option: a 360-degree virtual environment that teleports them to the busy streets of Beijing or a crowded Chinese restaurant. Students get to haggle with street vendors or order food, and the environment is equipped with different AI capabilities to respond to them in real time.

 

 

From DSC:
I just ran across this recently…what do you think of it?!

 

 

From DSC:
For me, this is extremely disturbing. And if I were a betting man, I’d wager that numerous nations/governments around the world — most certainly that includes the U.S. — have been developing new weapons of warfare for years that are based on artificial intelligence, robotics, automation, etc.

The question is, now what do we do?

Some very hard questions that numerous engineers and programmers need to be asking themselves these days…

By the way, the background audio on the clip above should either be non-existent or far more ominous — this stuff is NOT a joke.

Also see this recent posting. >>

 

Addendum on 6/26/19:

 

Experts in machine learning and military technology say it would be technologically straightforward to build robots that make decisions about whom to target and kill without a “human in the loop” — that is, with no person involved at any point between identifying a target and killing them. And as facial recognition and decision-making algorithms become more powerful, it will only get easier.

 

 

Blockchain: The move from freedom to the rigid, dominant system in learning — from oeb.global by Inge de Waard
In this post Inge de Waard gives an overview of current Blockchain options from industry and looks at its impact on universities as well as philosophises on its future.

Excerpt:

I mentioned a couple of Blockchain certification options already, but an even more advanced blockchain in learning example has entered on my radar too. It is a Russian implementation called Disciplina. This platform combines education (including vocational training), recruiting (comparable with what LinkedIn is doing with its economic graph) and careers for professionals. All of this is combined into a blockchain solution that keeps track of all the learners’ journey. The platform includes not only online courses as we know it but also coaching. After each training, you get a certificate.

TeachMePlease, which is a partner of Disciplina, enables teachers and students to find each other for specific professional training as well as curriculum-related children’s schooling. Admittedly, these initiatives are still being rolled out in terms of courses, but it clearly shows where the next learning will be located: in an umbrella above all the universities and professional academies. At present, the university courses are being embedded into course offerings by corporations that roll out a layer post-university, or post-vocational schooling.

Europe embraces blockchain, as can be seen with their EU Blockchain observatory and forum. And in a more national action, Malta is storing their certifications in a blockchain nationwide as well. We cannot deny that blockchain is getting picked up by both companies and governments. Universities have been piloting several blockchain certification options, and they also harbour some of the leading voices in the debate on blockchain certification.

 

Also see:

AI in education -- April 2019 by Inge de Waard

Future proof learning -- the Skills 3.0 project

 

Also see:

  • 7 blockchain mistakes and how to avoid them — from computerworld.com by Lucas Mearian
    The blockchain industry is still something of a wild west, with many cloud service offerings and a large universe of platforms that can vary greatly in their capabilities. So enterprises should beware jumping to conclusions about the technology.
 
 

10 things we should all demand from Big Tech right now — from vox.com by Sigal Samuel
We need an algorithmic bill of rights. AI experts helped us write one.

We need an algorithmic bill of rights. AI experts helped us write one.

Excerpts:

  1. Transparency: We have the right to know when an algorithm is making a decision about us, which factors are being considered by the algorithm, and how those factors are being weighted.
  2. Explanation: We have the right to be given explanations about how algorithms affect us in a specific situation, and these explanations should be clear enough that the average person will be able to understand them.
  3. Consent: We have the right to give or refuse consent for any AI application that has a material impact on our lives or uses sensitive data, such as biometric data.
  4. Freedom from bias: We have the right to evidence showing that algorithms have been tested for bias related to race, gender, and other protected characteristics — before they’re rolled out. The algorithms must meet standards of fairness and nondiscrimination and ensure just outcomes. (Inserted comment from DSC: Is this even possible? I hope so, but I have my doubts especially given the enormous lack of diversity within the large tech companies.)
  5. Feedback mechanism: We have the right to exert some degree of control over the way algorithms work.
  6. Portability: We have the right to easily transfer all our data from one provider to another.
  7. Redress: We have the right to seek redress if we believe an algorithmic system has unfairly penalized or harmed us.
  8. Algorithmic literacy: We have the right to free educational resources about algorithmic systems.
  9. Independent oversight: We have the right to expect that an independent oversight body will be appointed to conduct retrospective reviews of algorithmic systems gone wrong. The results of these investigations should be made public.
  10. Federal and global governance: We have the right to robust federal and global governance structures with human rights at their center. Algorithmic systems don’t stop at national borders, and they are increasingly used to decide who gets to cross borders, making international governance crucial.

 

This raises the question: Who should be tasked with enforcing these norms? Government regulators? The tech companies themselves?

 

 

Introduction: Leading the social enterprise—Reinvent with a human focus
2019 Global Human Capital Trends
— from deloitte.com by Volini?, Schwartz? ?, Roy?, Hauptmann, Van Durme, Denny, and Bersin

Excerpt (emphasis DSC):

Learning in the flow of life. The number-one trend for 2019 is the need for organizations to change the way people learn; 86 percent of respondents cited this as an important or very important issue. It’s not hard to understand why. Evolving work demands and skills requirements are creating an enormous demand for new skills and capabilities, while a tight labor market is making it challenging for organizations to hire people from outside. Within this context, we see three broader trends in how learning is evolving: It is becoming more integrated with work; it is becoming more personal; and it is shifting—slowly—toward lifelong models. Effective reinvention along these lines requires a culture that supports continuous learning, incentives that motivate people to take advantage of learning opportunities, and a focus on helping individuals identify and develop new, needed skills.

 

After nearly a decade of Augmented World Expo (AWE), founder Ori Inbar unpacks the past, present, & future of augmented reality — from next.reality.news by Adario Strange

Excerpts:

I think right now it’s almost a waste of time to talk about a hybrid device because it’s not relevant. It’s two different devices and two different use cases. But like you said, sometime in the future, 15, 20, 50 years, I imagine a point where you could open your eyes to do AR, and close your eyes to do VR.

I think there’s always room for innovation, especially with spatial computing where we’re in the very early stages. We have to develop a new visual approach that I don’t think we have yet. What does it mean to interact in a world where everything is visual and around you, and not on a two-dimensional screen? So there’s a lot to do there.

 

A big part of mainstream adoption is education. Until you get into AR and VR, you don’t really know what you’re missing. You can’t really learn about it from videos. And that education takes time. So the education, plus the understanding of the need, will create a demand.

— Ori Inbar

 

 

How the internet of things will change your life — from uk.rs-online.com

 

‘Internet of Things’ is transforming health care, Geneia president says — from unionleader.com by Kim Haas

 

What are the issues with Fog Computing? — from yourtechdiet.com by Brian Curtis

Advantages:

• It reduces the amount of data transferred to the cloud by having an edge location.
• Supports mobility and improves system response time.
• It minimizes network latency and conserves network bandwidth.
• Data can be processed with no bandwidth availability.
• Acts like an intermediate b/w IOT devices and Cloud computing infrastructure.

Disadvantages:

• It has some wireless security issues and privacy concerns.
• Authentication issues and trusted certificates concern

Fog computing helps in building some of the Smart Hi-Tech Cities, Buildings, Vehicle networks and Software Defined Networks (SDN).

 

Smart building complexity is creating dangerous new hacking opportunities — from techradar.com by Ian Heritage
Complex IoT environments can spell bad news for IT professionals

 

How 5G will fast track the internet of things — from .inkstonenews.com by Zheping Huang

Excerpt:

In Hangzhou, police officers are notified of major car accidents soon after they happen, traffic lights automatically adjust to changes in the volume of vehicles on the road and, in emergencies, fire trucks and ambulances are not stopped by a single red light until they arrive at the scene.

The city in eastern China’s Zhejiang province is one of the country’s major tech hubs. Its smart infrastructure powers the City Brain project, a cloud computing and AI-driven urban traffic-management system. It covers a total area of 162 square miles – that’s seven times the size of Manhattan.

When 5G mobile services start to roll out worldwide next year, smart cities such as Hangzhou will get even smarter as next-generation wireless technology helps industries realize the full potential of the internet of things (IoT).

“5G, from the beginning of its infrastructure design, has the internet of things in mind,” said Cui Kai, a Beijing-based IoT analyst with research firm International Data Corporation (IDC).

The stakes are high for industries around the world, as global spending on IoT is forecast to exceed $1 trillion in 2022, up from an estimated $745 billion this year, according to IDC.

 

With peak data rates up to 20 times faster than 4G, 5G will serve as “the connective tissue” for IoT, autonomous cars, smart cities and new mobile applications – providing the backbone for the industrial internet, according to a Deloitte report.

 

 

How the Internet of Things (IoT) can change the face of your business — from yourtechdiet.com by Brian Curtis

What is an IoT platform?
IOT platform is the support software which connects hardware, data networks and access points to other parts, i.e. to end-user application. Moreover, the IOT platform helps to automate their environment. So you can consider it as a middleware solution between data and the user.

Here are the five reasons why your business needs IoT.

  • Helps to know your customer better
  • Strengthen business operations
  • IoT can help to automate the jobs so your resource can work on what’s more required for your business.
  • Supply-chain analytics- IOT can manage your inventory so that you can save tons of time.

 

 

Blockchain stats, facts, & trends in 2019 and beyond — from yourtechdiet.com by Brian Curtis

Blockchain Predictions for 2019 & Beyond

  • Market value projection of the blockchain industry will be $60 billion by 2020.
  • By the end of 2019, global spending on blockchain solutions is projected to reach about 2.9 billion U.S. dollars and also projected to reach 11.7 billion by 2022.
  • In 2022, the U.S’ expenditures on blockchain solutions is projected to reach 4.2 billion U.S. dollars, thus making it the largest spender.
  • Finance is the biggest Blockchain value sector with a market share of 60.5 percent.
  • The market value of blockchain in the food and agriculture market, globally, is projected to climb 1.4 billion U.S. dollars by 2028.
  • In a research, 30 percent of respondents considered China to be the territory leader in blockchain technology development from 2021-2023.
  • The blockchain spending of China is forecasted to grow to 1.42 billion U.S. dollars by 2022.
  • The blockchain market value in South Korea is forecasted to reach 356.2 billion by 2022.
  • It is projected that, by 2025, 55 percent of healthcare applications will adopt blockchain for commercial deployment.

 

Also see:

 

 

We Built an ‘Unbelievable’ (but Legal) Facial Recognition Machine — from nytimes.com by Sahil Chinoy

“The future of human flourishing depends upon facial recognition technology being banned,” wrote Woodrow Hartzog, a professor of law and computer science at Northeastern, and Evan Selinger, a professor of philosophy at the Rochester Institute of Technology, last year. ‘Otherwise, people won’t know what it’s like to be in public without being automatically identified, profiled, and potentially exploited.’ Facial recognition is categorically different from other forms of surveillance, Mr. Hartzog said, and uniquely dangerous. Faces are hard to hide and can be observed from far away, unlike a fingerprint. Name and face databases of law-abiding citizens, like driver’s license records, already exist. And for the most part, facial recognition surveillance can be set up using cameras already on the streets.” — Sahil Chinoy; per a weekly e-newsletter from Sam DeBrule at Machine Learnings in Berkeley, CA

Excerpt:

Most people pass through some type of public space in their daily routine — sidewalks, roads, train stations. Thousands walk through Bryant Park every day. But we generally think that a detailed log of our location, and a list of the people we’re with, is private. Facial recognition, applied to the web of cameras that already exists in most cities, is a threat to that privacy.

To demonstrate how easy it is to track people without their knowledge, we collected public images of people who worked near Bryant Park (available on their employers’ websites, for the most part) and ran one day of footage through Amazon’s commercial facial recognition service. Our system detected 2,750 faces from a nine-hour period (not necessarily unique people, since a person could be captured in multiple frames). It returned several possible identifications, including one frame matched to a head shot of Richard Madonna, a professor at the SUNY College of Optometry, with an 89 percent similarity score. The total cost: about $60.

 

 

 

 

From DSC:
What do you think about this emerging technology and its potential impact on our society — and on other societies like China? Again I ask…what kind of future do we want?

As for me, my face is against the use of facial recognition technology in the United States — as I don’t trust where this could lead.

This wild, wild, west situation continues to develop. For example, note how AI and facial recognition get their foot in the door via techs installed years ago:

The cameras in Bryant Park were installed more than a decade ago so that people could see whether the lawn was open for sunbathing, for example, or check how busy the ice skating rink was in the winter. They are not intended to be a security device, according to the corporation that runs the park.

So Amazon’s use of facial recognition is but another foot in the door. 

This needs to be stopped. Now.

 

Facial recognition technology is a menace disguised as a gift. It’s an irresistible tool for oppression that’s perfectly suited for governments to display unprecedented authoritarian control and an all-out privacy-eviscerating machine.

We should keep this Trojan horse outside of the city. (source)

 
© 2024 | Daniel Christian