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?

 

Google brings AI to studying with Socratic — from zdnet.com by Stephanie Condon
Ahead of the new school year, Google is re-launching a mobile learning app it acquired last year.

Excerpt:

Google this week started rolling out a revamped version of a mobile learning app, called Socratic, that the tech giant acquired last year. The updated app, with new machine learning-powered features, coincides with the start of the school year, as well as other Google for Education initiatives.

Socratic aims to help both high school and university students in their studies outside of the classroom. If students need help answering a study question, they can now use the Socratic app to ask a question with their voice, or to take a picture of a question in their study materials. The app will then find relevant material from across the web.

 

Also see:

  • The School of Tomorrow Will Revolve Around AI — from datafloq.com
    Excerpt:
    We live in exponential times, and merely having a digital strategy focused on continuous innovation is no longer enough to thrive in a constantly changing world. To transform an organisation and contribute to building a secure and rewarding networked society, collaboration among employees, customers, business units and even things is increasingly becoming key.Especially with the availability of new technologies such as artificial intelligence, organisations now, more than ever before, need to focus on bringing together the different stakeholders to co-create the future. Big data empowers customers and employees, the Internet of Things will create vast amounts of data and connects all devices, while artificial intelligence creates new human-machine interactions. In today’s world, every organisation is a data organisation, and AI is required to make sense of it all.

Addendum on 8/23/19

 

Executive Interview: Khalid Al-Kofahi, Head of AI at Thomson Reuters — from aitrends.com

Excerpt:

Can you talk about any new products or services, or innovative work that you’re doing now?

In the last 12 months, we released three major AI-powered products for our customers: Westlaw Edge for our legal customers, Checkpoint Edge for our tax and accounting customers, and in July of this year we released Westlaw Edge Quick Check, an AI-powered document analysis tool to help attorneys write better briefs and motions, as well as defend against briefs and motions from opposing counsel.

If you look at the underlying capabilities in each of these three products, for example, you will see things like document analysis, vertical search, question answering, summarization, and analytics to support data-driven decision makings, and so on. Plenty of opportunities remain in each of these areas, and while I can’t talk about specific products that we are working on, from a capability perspective, these are the kind of capabilities that we’d like to include in many of our products.

 

A handful of US cities have banned government use of facial recognition technology due to concerns over its accuracy and privacy. WIRED’s Tom Simonite talks with computer vision scientist and lawyer Gretchen Greene about the controversy surrounding the use of this technology.

 

 

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.

 

DSC: Holy smokes!!! How might this be applied to education/learning/training in the 21st century!?!

DC: Holy smokes!!! How might this be applied to education/learning/training in the 21st century!?!

 

“What if neither distance nor language mattered? What if technology could help you be anywhere you need to be and speak any language? Using AI technology and holographic experiences this is possible, and it is revolutionary.”

 

 

Also see:

Microsoft has a wild hologram that translates HoloLens keynotes into Japanese — from theverge.com by
Azure and HoloLens combine for a hint at the future

Excerpt:

Microsoft has created a hologram that will transform someone into a digital speaker of another language. The software giant unveiled the technology during a keynote at the Microsoft Inspire partner conference [on 7/17/19] in Las Vegas. Microsoft recently scanned Julia White, a company executive for Azure, at a Mixed Reality capture studio to transform her into an exact hologram replica.

The digital version appeared onstage to translate the keynote into Japanese. Microsoft has used its Azure AI technologies and neural text-to-speech to make this possible. It works by taking recordings of White’s voice, in order to create a personalized voice signature, to make it sound like she’s speaking Japanese.

 

 

 

Pearson moves away from print textbooks — from campustechnology.com by Rhea Kelly

Excerpt:

All of Pearson’s 1,500 higher education textbooks in the U.S. will now be “digital first.” The company announced its big shift away from print today, calling the new approach a “product as a service model and a generational business shift to be much more like apps, professional software or the gaming industry.”

The digital format will allow Pearson to update textbooks on an ongoing basis, taking into account new developments in the field of study, new technologies, data analytics and efficacy research, the company said in a news announcement. The switch to digital will also lower the cost for students: The average e-book price will be $40, or $79 for a “full suite of digital learning tools.”

 

Top 10 Digital Transformation Trends For 2020 –from forbes.com by Daniel Newman

Excerpt (emphasis DSC):

A faster WiFi for a faster world: Although WiFi 6 and 5G are completely different technologies, both will be bringing us much faster processing and wireless connection speeds in 2020. 5G and WiFi 6 working in concert will create the perfect end-to-end combination of ultra-fast connectivity for home and office. Expect download speeds up to 3x faster than were achievable with WiFi 5, but that isn’t the best measure of the new standard’s value. The real value of WiFi 6 will be its ability to extend faster data speeds to far more devices than WiFi 5 was able to manage.

 

Top 9 Ways Artificial Intelligence Prevents Fraud — from forbes.com by Louis Columbus

Excerpt:

Bottom Line:
Rule-based engines and simple predictive models could identify the majority of fraud attempts in the past, yet they aren’t keeping up with the scale and severity of fraud attempts today. Fraud attempts and breaches are more nuanced, with organized crime and state-sponsored groups using machine learning algorithms to find new ways to defraud digital businesses. Fraud-based attacks have a completely different pattern, sequence, and structure, which make them undetectable using rules-based logic and predictive models alone.

AI Is A Perfect Match For the Challenges Of Battling Fraud

 

Reflections on “Clay Shirky on Mega-Universities and Scale” [Christian]

Clay Shirky on Mega-Universities and Scale — from philonedtech.com by Clay Shirky
[This was a guest post by Clay Shirky that grew out of a conversation that Clay and Phil had about IPEDS enrollment data. Most of the graphs are provided by Phil.]

Excerpts:

Were half a dozen institutions to dominate the online learning landscape with no end to their expansion, or shift what Americans seek in a college degree, that would indeed be one of the greatest transformations in the history of American higher education. The available data, however, casts doubt on that idea.

Though much of the conversation around mega-universities is speculative, we already know what a mega-university actually looks like, one much larger than any university today. It looks like the University of Phoenix, or rather it looked like Phoenix at the beginning of this decade, when it had 470,000 students, the majority of whom took some or all of their classes online. Phoenix back then was six times the size of the next-largest school, Kaplan, with 78,000 students, and nearly five times the size of any university operating today.

From that high-water mark, Phoenix has lost an average of 40,000 students every year of this decade.

 

From DSC:
First of all, I greatly appreciate both Clay’s and Phil’s thought leadership and their respective contributions to education and learning through the years. I value their perspectives and their work.  Clay and Phil offer up a great article here — one worth your time to read.  

The article made me reflect on what I’ve been building upon and tracking for the last decade — a next generation ***PLATFORM*** that I believe will represent a powerful piece of a global learning ecosystem. I call this vision, “Learning from the Living [Class] Room.” Though the artificial intelligence-backed platform that I’m envisioning doesn’t yet fully exist — this new era and type of learning-based platform ARE coming. The emerging signs, technologies, trends — and “fingerprints”of it, if you will — are beginning to develop all over the place.

Such a platform will:

  • Be aimed at the lifelong learner.
  • Offer up major opportunities to stay relevant and up-to-date with one’s skills.
  • Offer access to the program offerings from many organizations — including the mega-universities, but also, from many other organizations that are not nearly as large as the mega-universities.
  • Be reliant upon human teachers, professors, trainers, subject matter experts, but will be backed up by powerful AI-based technologies/tools. For example, AI-based tools will pulse-check the open job descriptions and the needs of business and present the top ___ areas to go into (how long those areas/jobs last is anyone’s guess, given the exponential pace of technological change).

Below are some quotes that I want to comment on:

Not nothing, but not the kind of environment that will produce an educational Amazon either, especially since the top 30 actually shrank by 0.2% a year.

 

Instead of an “Amazon vs. the rest” dynamic, online education is turning into something much more widely adopted, where the biggest schools are simply the upper end of a continuum, not so different from their competitors, and not worth treating as members of a separate category.

 

Since the founding of William and Mary, the country’s second college, higher education in the U.S. hasn’t been a winner-take-all market, and it isn’t one today. We are not entering a world where the largest university operates at outsized scale, we’re leaving that world; 

 

From DSC:
I don’t see us leaving that world at all…but that’s not my main reflection here. Instead, I’m not focusing on how large the mega-universities will become. When I speak of a forthcoming Walmart of Education or Amazon of Education, what I have in mind is a platform…not one particular organization.

Consider that the vast majority of Amazon’s revenues come from products that other organizations produce. They are a platform, if you will. And in the world of platforms (i.e., software), it IS a winner take all market. 

Bill Gates reflects on this as well in this recent article from The Verge:

“In the software world, particularly for platforms, these are winner-take-all markets.

So it’s all about a forthcoming platform — or platforms. (It could be more than one platform. Consider Apple. Consider Microsoft. Consider Google. Consider Facebook.)

But then the question becomes…would a large amount of universities (and other types of organizations) be willing to offer up their courses on a platform? Well, consider what’s ALREADY happening with FutureLearn:

Finally…one more excerpt from Clay’s article:

Eventually the new ideas lose their power to shock, and end up being widely copied. Institutional transformation starts as heresy and ends as a section in the faculty handbook. 

From DSC:
This is a great point. Reminds me of this tweet from Fred Steube (and I added a piece about Western Telegraph):

 

Some things to reflect upon…for sure.

 
 
 

From DSC:
First of all, a couple of articles:

This futuristic driverless pod will soon be delivering pizza in Texas — from digitaltrends.com by Trevor Mogg

Excerpt:

Global pizza purveyor Domino’s is planning to use self-driving pods to deliver its cheesy meals to hungry customers. The food company is partnering with California-based tech startup Nuro for a trial service in Houston, Texas later this year.

 

 

Amazon is creating detailed 3D models of suburbia to train its new delivery robots — from theverge.com by James Vincent
‘Eventually, we’ll be delivering around the world.’

 

 

From DSC:
Instead of Amazon having their army of robots/drones, Domino’s having their army of driverless pods, etc…perhaps we should think about how we want this all to unfold in the future — especially with an eye on what the world will be like for future generations.

 

“The company won’t say where or when it plans to expand these tests…”

 

From DSC:
It should NOT be Amazon’s decision (nor Domino’s decision, nor any other company’s decision) to expand any tests here! It should be up to citizens to weigh in on what we want our future to look like before any such endeavors are allowed to move forward another inch.

 

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.

 

 

 

 Also see:

Microsoft is building a virtual assistant for work. Google is building one for everything else — from qz.com by Dave Gershgorn

Excerpts:

In the early days of virtual personal assistants, the goal was to create a multipurpose digital buddy—always there, ready to take on any task. Now, tech companies are realizing that doing it all is too much, and instead doubling down on what they know best.

Since the company has a deep understanding of how organizations work, Microsoft is focusing on managing your workday with voice, rearranging meetings and turning the dials on the behemoth of bureaucracy in concert with your phone.

 

Voice is the next major platform, and being first to it is an opportunity to make the category as popular as Apple made touchscreens. To dominate even one aspect of voice technology is to tap into the next iteration of how humans use computers.

 

 

From DSC:
What affordances might these developments provide for our future learning spaces?

Will faculty members’ voices be recognized to:

  • Sign onto the LMS?
  • Dim the lights?
  • Turn on the projector(s) and/or display(s)?
  • Other?

Will students be able to send the contents of their mobile devices to particular displays via their voices?

Will voice be mixed in with augmented reality (i.e., the students and their devices can “see” which device to send their content to)?

Hmmm…time will tell.

 

 
© 2024 | Daniel Christian