The information below is per Laura Kelley (w/ Page 1 Solutions)


As you know, Apple has shut down Facebook’s ability to distribute internal iOS apps. The shutdown comes following news that Facebook has been using Apple’s program for internal app distribution to track teenage customers for “research.”

Dan Goldstein is the president and owner of Page 1 Solutions, a full-service digital marketing agency. He manages the needs of clients along with the need to ensure protection of their consumers, which has become one of the top concerns from clients over the last year. Goldstein is also a former attorney so he balances the marketing side with the legal side when it comes to protection for both companies and their consumers. He says while this is another blow for Facebook, it speaks volumes for Apple and its concern for consumers,

“Facebook continues to demonstrate that it does not value user privacy. The most disturbing thing about this news is that Facebook knew that its app violated Apples terms of service and continued to distribute the app to consumers after it was banned from the App Store. This shows, once again, that Facebook doesn’t value user privacy and goes to great lengths to collect private behavioral data to give it a competitive advantage.The FTC is already investigating Facebook’s privacy policies and practices.As Facebook’s efforts to collect and use private data continue to be exposed, it risks losing market share and may prompt additional governmental investigations and regulation,” Goldstein says.

“One positive that comes out of this story is that Apple seems to be taking a harder line on protecting user privacy than other tech companies. Apple has been making noises about protecting user privacy for several months. This action indicates that it is attempting to follow through on its promises,” Goldstein says.

 

 

Amazon is pushing facial technology that a study says could be biased — from nytimes.com by Natasha Singer
In new tests, Amazon’s system had more difficulty identifying the gender of female and darker-skinned faces than similar services from IBM and Microsoft.

Excerpt:

Over the last two years, Amazon has aggressively marketed its facial recognition technology to police departments and federal agencies as a service to help law enforcement identify suspects more quickly. It has done so as another tech giant, Microsoft, has called on Congress to regulate the technology, arguing that it is too risky for companies to oversee on their own.

Now a new study from researchers at the M.I.T. Media Lab has found that Amazon’s system, Rekognition, had much more difficulty in telling the gender of female faces and of darker-skinned faces in photos than similar services from IBM and Microsoft. The results raise questions about potential bias that could hamper Amazon’s drive to popularize the technology.

 

 

A landmark ruling gives new power to sue tech giants for privacy harms — from fastcompany.com by Katharine Schwab

Excerpt:

A unanimous ruling by the Illinois Supreme Court says that companies that improperly gather people’s data can be sued for damages even without proof of concrete injuries, opening the door to legal challenges that Facebook, Google, and other businesses have resisted.

 

 

Apple’s Tim Cook says it’s time for America to get serious about data privacy — from barrons.com by David Marino-Nachison

Excerpt:

Apple CEO Tim Cook, who has said the U.S. should pass a federal data-privacy law, on Thursday said legislation should also give consumers more information about who buys and sells their data.

In a column published by Time, Cook said the Federal Trade Commission should set up a “clearinghouse” that requires data brokers to register and lets consumers “track the transactions that have bundled and sold their data from place to place, and giving users the power to delete their data on demand, freely, easily and…

 

 

Training the workforce of the future: Education in America will need to adapt to prepare students for the next generation of jobs – including ‘data trash engineer’ and ‘head of machine personality design’– from dailymail.co.uk by Valerie Bauman

Excerpts:

  • Careers that used to safely dodge the high-tech bullet will soon require at least a basic grasp of things like web design, computer programming and robotics – presenting a new challenge for colleges and universities
  • A projected 85 percent of the jobs that today’s college students will have in 2030 haven’t been invented yet
  • The coming high-tech changes are expected to touch a wider variety of career paths than ever before
  • Many experts say American universities aren’t ready for the change because the high-tech skills most workers will need are currently focused just on people specializing in science, technology, engineering and math

.

 

 

5 influencers predict AI’s impact on business in 2019 — from martechadvisor.com by Christine Crandell

Excerpt:

With Artificial Intelligence (AI) already proving its worth to adopters, it’s not surprising that an increasing number of companies will implement and leverage AI in 2019. Now, it’s no longer a question of whether AI will take off. Instead, it’s a question of which companies will keep up. Here are five predictions from five influencers on the impact AI will have on businesses in 2019, writes Christine Crandell, President, New Business Strategies.

 

 

Should we be worried about computerized facial recognition? — from newyorker.com by David Owen
The technology could revolutionize policing, medicine, even agriculture—but its applications can easily be weaponized.

 

Facial-recognition technology is advancing faster than the people who worry about it have been able to think of ways to manage it. Indeed, in any number of fields the gap between what scientists are up to and what nonscientists understand about it is almost certainly greater now than it has been at any time since the Manhattan Project. 

 

From DSC:
This is why law schools, legislatures, and the federal government need to become much more responsive to emerging technologies. The pace of technological change has changed. But have other important institutions of our society adapted to this new pace of change?

 

 

Andrew Ng sees an eternal springtime for AI — from zdnet.com by Tiernan Ray
Former Google Brain leader and Baidu chief scientist Andrew Ng lays out the steps companies should take to succeed with artificial intelligence, and explains why there’s unlikely to be another “AI winter” like in times past.

 

 

Google Lens now recognizes over 1 billion products — from venturebeat.com by Kyle Wiggers with thanks to Marie Conway for her tweet on this

Excerpt:

Google Lens, Google’s AI-powered analysis tool, can now recognize over 1 billion products from Google’s retail and price comparison portal, Google Shopping. That’s four times the number of objects Lens covered in October 2017, when it made its debut.

Aparna Chennapragada, vice president of Google Lens and augmented reality at Google, revealed the tidbit in a retrospective blog post about Google Lens’ milestones.

 

Amazon Customer Receives 1,700 Audio Files Of A Stranger Who Used Alexa — from npr.org by Sasha Ingber

Excerpt:

When an Amazon customer in Germany contacted the company to review his archived data, he wasn’t expecting to receive recordings of a stranger speaking in the privacy of a home.

The man requested to review his data in August under a European Union data protection law, according to a German trade magazine called c’t. Amazon sent him a download link to tracked searches on the website — and 1,700 audio recordings by Alexa that were generated by another person.

“I was very surprised about that because I don’t use Amazon Alexa, let alone have an Alexa-enabled device,” the customer, who was not named, told the magazine. “So I randomly listened to some of these audio files and could not recognize any of the voices.”

 

 

Why should anyone believe Facebook anymore? — from wired.com by Fred Vogelstein

Excerpt:

Just since the end of September, Facebook announced the biggest security breach in its history, affecting more than 30 million accounts. Meanwhile, investigations in November revealed that, among other things, the company had hired a Washington firm to spread its own brand of misinformation on other platforms, including borderline anti-Semitic stories about financier George Soros. Just two weeks ago, a cache of internal emails dating back to 2012 revealed that at times Facebook thought a lot more about how to make money off users’ data than about how to protect it.

Now, according to a New York Times investigation into Facebook’s data practices published Tuesday, long after Facebook said it had taken steps to protect user data from the kinds of leakages that made Cambridge Analytica possible, the company continued to sustain special, undisclosed data-sharing arrangements with more than 150 companies—some into this year. Unlike with Cambridge Analytica, the Times says, Facebook provided access to its users’ data knowingly and on a greater scale.

 

What has enabled them to deliver these apologies, year after year, was that these sycophantic monologues were always true enough to be believable. The Times’ story calls into question every one of those apologies—especially the ones issued this year.

There’s a simple takeaway from all this, and it’s not a pretty one: Facebook is either a mendacious, arrogant corporation in the mold of a 1980s-style Wall Street firm, or it is a company in much more disarray than it has been letting on. 

It’s hard to process this without finally realizing what it is that’s made us so angry with Silicon Valley, and Facebook in particular, in 2018: We feel lied to, like these companies are playing us, their users, for chumps, and they’re also laughing at us for being so naive.

 

 

Also related/see:

‘We’ve hit an inflection point’: Big Tech failed big-time in 2018 — from finance.yahoo.com by JP Mangalindan

Excerpt:

2018 will be remembered as the year the public’s big soft-hearted love affair with Big Tech came to a screeching halt.

For years, lawmakers and the public let massive companies like Facebook, Google, and Amazon run largely unchecked. Billions of people handed them their data — photos, locations, and other status-rich updates — with little scrutiny or question. Then came revelations around several high-profile data breaches from Facebook: a back-to-back series of rude awakenings that taught casual web-surfing, smartphone-toting citizens that uploading their data into the digital ether could have consequences. Google reignited the conversation around sexual harassment, spurring thousands of employees to walk out, while Facebook reminded some corners of the U.S. that racial bias, even in supposedly egalitarian Silicon Valley, remained alive and well. And Amazon courted well over 200 U.S. cities in its gaudy and protracted search for a second headquarters.

“I think 2018 was the year that people really called tech companies on the carpet about the way that they’ve been behaving conducting their business,” explained Susan Etlinger, an analyst at the San Francisco-based Altimeter Group. “We’ve hit an inflection point where people no longer feel comfortable with the ways businesses are conducting themselves. At the same time, we’re also at a point, historically, where there’s just so much more willingness to call out businesses and institutions on bigotry, racism, sexism and other kinds of bias.”

 

The public’s love affair with Facebook hit its first major rough patch in 2016 when Russian trolls attempted to meddle with the 2016 U.S. presidential election using the social media platform. But it was the Cambridge Analytica controversy that may go down in internet history as the start of a series of back-to-back, bruising controversies for the social network, which for years, served as the Silicon Valley poster child of the nouveau American Dream. 

 

 

 

Guide to how artificial intelligence can change the world – Part 3 — from intelligenthq.com by Maria Fonseca and Paula Newton
This is part 3 of a Guide in 4 parts about Artificial Intelligence. The guide covers some of its basic concepts, history and present applications, possible developments in the future, and also its challenges as opportunities.

Excerpt:

Artificial intelligence is considered to be anything that gives machines intelligence which allows them to reason in the way that humans can. Machine learning is an element of artificial intelligence which is when machines are programmed to learn. This is brought about through the development of algorithms that work to find patterns, trends and insights from data that is input into them to help with decision making. Deep learning is in turn an element of machine learning. This is a particularly innovative and advanced area of artificial intelligence which seeks to try and get machines to both learn and think like people.

 

Also see:

 

Also see:

LinkedIn’s 2018 U.S. emerging jobs report — from economicgraph.linkedin.com

Excerpt (emphasis DSC):

Our biggest takeaways from this year’s Emerging Jobs Report:

  • Artificial Intelligence (AI) is here to stay. No, this doesn’t mean robots are coming for your job, but we are likely to see continued growth in fields and functions related to AI. This year, six out of the 15 emerging jobs are related in some way to AI, and our research shows that skills related to AI are starting to infiltrate every industry, not just tech. In fact, AI skills are among the fastest-growing skills on LinkedIn, and globally saw a 190% increase from 2015 to 2017.

 

 

Forecast 5.0 – The Future of Learning: Navigating the Future of Learning  — from knowledgeworks.org by Katherine Prince, Jason Swanson, and Katie King
Discover how current trends could impact learning ten years from now and consider ways to shape a future where all students can thrive.

 

 

 

LinkedIn Learning Opens Its Platform (Slightly) [Young]

LinkedIn Learning Opens Its Platform (Slightly) — from edsurge by Jeff Young

Excerpt (emphasis DSC):

A few years ago, in a move toward professional learning, LinkedIn bought Lynda.com for $1.5 billion, adding the well-known library of video-based courses to its professional social network. Today LinkedIn officials announced that they plan to open up their platform to let in educational videos from other providers as well—but with a catch or two.

The plan, announced Friday, is to let companies or colleges who already subscribe to LinkedIn Learning add content from a select group of other providers. The company or college will still have to subscribe to those other services separately, so it’s essentially an integration—but it does mark a change in approach.

For LinkedIn, the goal is to become the front door for employees as they look for micro-courses for professional development.

 

LinkedIn also announced another service for its LinkedIn Learning platform called Q&A, which will give subscribers the ability to pose a question they have about the video lessons they’re taking. The question will first be sent to bots, but if that doesn’t yield an answer the query will be sent on to other learners, and in some cases the instructor who created the videos.

 

 

Also see:

LinkedIn becomes a serious open learning experience platform — from clomedia.com by Josh Bersin
LinkedIn is becoming a dominant learning solution with some pretty interesting competitive advantages, according to one learning analyst.

Excerpt:

LinkedIn has become quite a juggernaut in the corporate learning market. Last time I checked the company had more than 17 million users, 14,000 corporate customers, more than 3,000 courses and was growing at high double-digit rates. And all this in only about two years.

And the company just threw down the gauntlet; it’s now announcing it has completely opened up its learning platform to external content partners. This is the company’s formal announcement that LinkedIn Learning is not just an amazing array of content, it is a corporate learning platform. The company wants to become a single place for all organizational learning content.

 

LinkedIn now offers skills-based learning recommendations to any user through its machine learning algorithms. 

 

 



Is there demand for staying relevant? For learning new skills? For reinventing oneself?

Well…let’s see.

 

 

 

 

 

 



From DSC:
So…look out higher ed and traditional forms of accreditation — your window of opportunity may be starting to close. Alternatives to traditional higher ed continue to appear on the scene and gain momentum. LinkedIn — and/or similar organizations in the future — along with blockchain and big data backed efforts may gain traction in the future and start taking away some major market share. If employers get solid performance from their employees who have gone this route…higher ed better look out. 

Microsoft/LinkedIn/Lynda.com are nicely positioned to be a major player who can offer society a next generation learning platform at an incredible price — offering up-to-date, microlearning along with new forms of credentialing. It’s what I’ve been calling the Amazon.com of higher ed (previously the Walmart of Education) for ~10 years. It will take place in a strategy/platform similar to this one.

 



Also, this is what a guerilla on the back looks like:

 

This is what a guerilla on the back looks like!

 



Also see:

  • Meet the 83-Year-Old App Developer Who Says Edtech Should Better Support Seniors — from edsurge.com by Sydney Johnson
    Excerpt (emphasis DSC):
    Now at age 83, Wakamiya beams with excitement when she recounts her journey, which has been featured in news outlets and even at Apple’s developer conference last year. But through learning how to code, she believes that experience offers an even more important lesson to today’s education and technology companies: don’t forget about senior citizens.Today’s education technology products overwhelmingly target young people. And while there’s a growing industry around serving adult learners in higher education, companies largely neglect to consider the needs of the elderly.

 

 
 

Robots won’t replace instructors, 2 Penn State educators argue. Instead, they’ll help them be ‘more human.’ — from edsurge.com by Tina Nazerian

Excerpt:

Specifically, it will help them prepare for and teach their courses through several phases—ideation, design, assessment, facilitation, reflection and research. The two described a few prototypes they’ve built to show what that might look like.

 

Also see:

The future of education: Online, free, and with AI teachers? — from fool.com by Simon Erickson
Duolingo is using artificial intelligence to teach 300 million people a foreign language for free. Will this be the future of education?

Excerpts:

While it might not get a lot of investor attention, education is actually one of America’s largest markets.

The U.S. has 20 million undergraduates enrolled in colleges and universities right now and another 3 million enrolled in graduate programs. Those undergrads paid an average of $17,237 for tuition, room, and board at public institutions in the 2016-17 school year and $44,551 for private institutions. Graduate education varies widely by area of focus, but the average amount paid for tuition alone was $24,812 last year.

Add all of those up, and America’s students are paying more than half a trillion dollars each year for their education! And that doesn’t even include the interest amassed for student loans, the college-branded merchandise, or all the money spent on beer and coffee.

Keeping the costs down
Several companies are trying to find ways to make college more affordable and accessible.

 

But after we launched, we have so many users that nowadays if the system wants to figure out whether it should teach plurals before adjectives or adjectives before plurals, it just runs a test with about 50,000 people. So for the next 50,000 people that sign up, which takes about six hours for 50,000 new users to come to Duolingo, to half of them it teaches plurals before adjectives. To the other half it teaches adjectives before plurals. And then it measures which ones learn better. And so once and for all it can figure out, ah it turns out for this particular language to teach plurals before adjectives for example.

So every week the system is improving. It’s making itself better at teaching by learning from our learners. So it’s doing that just based on huge amounts of data. And this is why it’s become so successful I think at teaching and why we have so many users.

 

 

From DSC:
I see AI helping learners, instructors, teachers, and trainers. I see AI being a tool to help do some of the heavy lifting, but people still like to learn with other people…with actual human beings. That said, a next generation learning platform could be far more responsive than what today’s traditional institutions of higher education are delivering.

 

 

Google already knows what you did next summer — from bloomberg.com by Nikki Ekstein
The company’s new travel tools put the focus on artificial intelligence, helping to best predict what you’re going to love—no matter where you go.

Excerpt:

But it’s not a hotel or travel agency that’s cracking the golden acorn. It’s Google. The tech titan is leveraging its immense artificial intelligence and machine-learning capabilities to boost its travel offerings, which currently cover everything from flight and hotel search to activity recommendations, destination guides, and mapping services

The proof is in the pudding. Over the past few months, Google has quietly launched an array of travel-focused features and updates that highlight just how intuitive its AI technology has become. Put them all together and you’ll have enough reason to believe your next travel agent might just be a Google-powered bot.

 

Should self-driving cars have ethics? — from npr.org by Laurel Wamsley

Excerpt:

In the not-too-distant future, fully autonomous vehicles will drive our streets. These cars will need to make split-second decisions to avoid endangering human lives — both inside and outside of the vehicles.

To determine attitudes toward these decisions a group of researchers created a variation on the classic philosophical exercise known as “the Trolley problem.” They posed a series of moral dilemmas involving a self-driving car with brakes that suddenly give out…

 

 

 

Gartner: Immersive experiences among top tech trends for 2019 — from campustechnology.com by Dian Schaffhauser

Excerpt:

IT analyst firm Gartner has named its top 10 trends for 2019, and the “immersive user experience” is on the list, alongside blockchain, quantum computing and seven other drivers influencing how we interact with the world. The annual trend list covers breakout tech with broad impact and tech that could reach a tipping point in the near future.

 

 

 
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