Challenging ‘Bad’ Online Policies and Attitudes — from insidehighered.com by Susan D’Agostino
Academic and industry leaders spoke with conviction at the SXSW EDU conference this week about approaches that impede educational access to motivated, capable learners.

Excerpts:

“It’s driven by artificial intelligence,” Barnes said of IBM’s training and reskilling effort. “It’s a Netflix-like interface that pushes content. Or an employee can select content…

The leaders discussed the ways in which colleges, policymakers, and employers might work together to help more Americans find or advance in viable employment, while also addressing the workforce skills gap. But some “bad” policies and attitudes about online learning undermine their efforts to work together, expand access and deliver outcomes to motivated, capable learners.

“Employers were saying, ‘We have job openings we can’t fill, and we want to work with the education system, but it is so unbelievably frustrating because they’re very rigid, and they don’t want to customize to our needs,’” Hansen said. These employers sought workforce training that could produce a pipeline of learners-turned-employees, and Hansen said they told him, “If you can do that, I’ll pay you.”

 

Digital credentials’ appeal is strong, while corporate upskilling moves at a ‘snail’s pace’ — from by Elyse Ashburn; with thanks to Paul Fain for this resource
Surveys out this week from IBM and LinkedIn take a closer look at the role of digital credentials and other forms upskilling in education and on the job.

Excerpt:

Interest in upskilling and short-term credentials, either as an alternative or an add-on to college, has grown steadily over the past few years. And a couple of surveys out this week take a closer look at the role digital credentials and other forms upskilling can play in bridging the gap between formal education and work.

A major IBM survey fielded in 13 countries, including the United States, found that almost half of students, job seekers, and career changers are interested in jobs in science, technology, engineering and math (STEM)—but more than 61% think they aren’t qualified because they lack the right degrees.

  • 75% of respondents thought that digital credentials were a good way to supplement traditional education, but only 47% were actually familiar with such credentialing programs.
  • Among those who’d earned a digital credential, 86% said that it helped them achieve their career goals.

Eight in 10 people surveyed said they planned to upgrade their skills in the next two years—but time, cost, or simply not knowing how to begin were major barriers. Among both students and job seekers, 40% said that they don’t know where to start in developing new professional or technical skills.

 

Radar Trends to Watch: December 2022 — from oreilly.com by Mike Loukides
Developments in Security, Cryptocurrency, Web, and More

Excerpt:

This month’s news has been overshadowed by the implosion of SBF’s TFX and the possible implosion of Elon Musk’s Twitter. All the noise doesn’t mean that important things aren’t happening. Many companies, organizations, and individuals are wrestling with the copyright implications of generative AI. Google is playing a long game: they believe that the goal isn’t to imitate art works, but to build better user interfaces for humans to collaborate with AI so they can create something new. Facebook’s AI for playing Diplomacy is an exciting new development. Diplomacy requires players to negotiate with other players, assess their mental state, and decide whether or not to honor their commitments. None of these are easy tasks for an AI. And IBM now has a 433 Qubit quantum chip–an important step towards making a useful quantum processor.

 

New Mexico College Publishes Report to Advance a National Learning and Employment Record for Skills-based Credentialing and Hiring — from prnewswire.com by Central New Mexico Community College

Excerpt (emphasis DSC):

ALBUQUERQUE, N.M.Oct. 11, 2022 /PRNewswire/ — In the current job market, applicants are usually asked to provide a broad résumé that lists the basics of their qualifications including college degrees and past work experience. It’s an outdated and inefficient system and one that Central New Mexico Community College (CNM) is now helping to improve.

Thanks to a grant from Walmart, CNM produced a comprehensive report that researches several independent efforts underway in order to build a model for creating a national Learner and Employment Records (LER) infrastructure. An LER enables the exchange of skills-based digital records that facilitate more efficient pathways from learning to earning.

An LER is more efficient and secure for both employers and job-seekers because it uses blockchain technology to provide security, trust, and transparency.

From DSC:
I still am learning about how secure blockchain-based applications are — or aren’t. But this idea of a Learner and Employment Record — which I’ve referred to on this blog as a “cloud-based learner profile” — seems to hold a lot of potential as we move into the future. Especially when the focus is increasingly on which skills a position needs and which skills an individual has.

I have used the term cloud-based learner profiles instead of LERs but the idea is the same

 

How Alternative Credentials Can Help You Find Employees — from shrm.org by Kathryn Tyler
Focus on skills, not degrees, to increase your talent pool.

Excerpts:

“Alternative credentials,” such as the ones Brown attained, are increasingly available in the form of micro-credentials, digital badges and industry-recognized certificates. They’re less expensive than a college degree and designed to help prepare workers for better jobs.

IBM is ahead of the game in many respects. Six years ago, the tech giant began revising its job descriptions to focus on skills and not just educational attainment. On average, 50 percent of the company’s posted positions in the U.S. don’t require a bachelor’s degree.

“We call these ‘new-collar jobs,’ and they’re aligned to careers that require the right set of skills and a commitment to lifelong learning,” says Tommy Wenzlau, talent leader for new-collar initiatives at IBM, which employs more than 250,000 workers globally. “New-collar roles are in some of technology’s fastest-growing fields, including data science, cloud computing, application development, cybersecurity and digital design.”

 

Radar trends to watch: May 2022 — from oreilly.com
Developments in Web3, Security, Biology, and More

Excerpt:

April was the month for large language models. There was one announcement after another; most new models were larger than the previous ones, several claimed to be significantly more energy efficient.

 

Top 10 Healthcare Artificial Intelligence News Of 2021 — from medicalfuturist.com by Dr. Bertalan Meskó & Dr. Pranavsingh Dhunnoo

Excerpt:

As 2021 is about to wrap up, we are reflecting on some of the most important news revolving around artificial intelligence (A.I.) in healthcare. These range from the principles laying the groundwork for the safe and effective development of A.I.-powered medical devices to a sober look at the technology’s role in the pandemic. Without further ado, let’s take a look at the top 10 healthcare A.I. news of the year that was.

 

Will Microcredentials be the Rx Needed to Fix Our Ailing Degree Systems? — from evolllution.com by David Leaser | Senior Program Executive of Innovation and Growth Initiatives, IBM
Amidst the dramatic social and economic upheaval caused by the pandemic, microcredentials are presenting themselves as the viable solution to getting learners prepared quickly and effectively for desperately needed jobs. 

Excerpts:

Pace of Change Accelerates Beyond Our Wildest Imagination 
But the world of work is changing at a pace that traditional education systems cannot match. Cloud computing, big data and AI technologies are replaced or improved monthly—and often faster than that.

The U.S. college system is organized around an all-or-none framework: You only get a credential after completing the entire learning path.  But when a large number of students cannot commit to a long-term commitment (the situation we have faced for decades), shouldn’t we break the learning down into credentials along the way?

The MicroBachelors: A Major Win for Credential As You Go
Today, most microcredentials provide the opposite of college degrees: high skill-signal strength but low social-signal strength.

MicroBachelors programs are a series of college classes that have been customized and grouped together to meet employers’ real-world needs. The programs typically take two to four months to complete and provide credentials and college credits.

 

 

 

Intel expands AI education program to 18 total community colleges — from highereddive.com by Natalie Schwartz

Excerpt:

The technology giant is supplying curriculum and faculty development for participating schools, and is partnering with Dell to provide technical and infrastructure expertise for the program, which can lead to a certificate or associate degree.

The future of AI: Deeper insights, personalization and problem-solving stand to transform how we use AI across devices and industries — from protocol.com by Alex Katouzian

Excerpt:

What comes to mind when you think of AI? In the past, it might have been the Turing test, a sci-fi character or IBM’s Deep Blue-defeating chess champion Garry Kasparov. Today, instead of copying human intelligence, we’re seeing immense progress made in using AI to unobtrusively simplify and enrich our own intelligence and experiences. Natural language processing, modern encrypted security solutions, advanced perception and imaging capabilities, next-generation data management and logistics, and automotive assistance are some of the many ways AI is quietly yet unmistakably driving some of the latest advancements inside our phones, PCs, cars and other crucial 21st century devices. And the combination of 5G and AI is enabling a world with distributed intelligence where AI processing is happening on devices and in the cloud.

Latest Trends in Artificial Intelligence –from newark.com

Excerpt:

Over the past decade, Artificial Intelligence (AI) has meshed into various industries. The era witnessed a dramatic increase in tools, applications, and platforms based on AI and Machine Learning (ML). These technologies have impacted healthcare, manufacturing, law, finance, retail, real estate, accountancy, digital marketing, and several other areas.

Companies are investing in AI research to find out how they can bring AI closer to humans. By 2025 AI software revenues alone will reach above $100 billion globally (Figure 1). This means that we will continue seeing the advancement of AI and Machine Learning (ML)-related technology in foreseeable future. AI changes notably fast, so you’ll need to go out of your way to keep up with the latest trends if you want to stay as informed as possible. Let’s take a look at everything you need to know about the latest AI trends.

 

 

Today’s Tech Jobs: Skills More Important Than Knowledge — from rtinsights.com by Kwame Yangame; with thanks to Ryan Craig for this resource
New tech jobs require workers skilled in the use of technologies and able to handle the complexities and interconnectedness of today’s world.

What then is needed in terms of tech education?
The tech education that is needed, then, is formed on the basis of active learning, project-based learning, and learning by doing: science and researched-backed learning methods, the efficacy of which has been proven, and the result of which is true preparation for work in tech jobs in the 21st century. It’s clear that companies want skills and are moving towards skills-based hiring, so it’s well past time that education moves into real skills-based learning.

The classroom-type learning was designed for high schools and universities dating back to a point in time when the most advanced technology was the printing press – before the steam engine, penicillin, the telephone, the automobile, and the personal computer.


From DSC:
I remember teaching a class called the Foundations of Information Technology. This class filled a requirement for those who didn’t major in Computer Science or some other disciplines. So several students in the class didn’t really want to be there and didn’t like technology at all. I still remember hearing some students say, “After this class, I don’t see using technology again.” Or, “I don’t see technology as being a part of my future. I don’t like it.”

My thought then and now? Good luck with that.


With a thanks to Ryan for the following resource as well:

By bridging the gap between what high schools teach and industries need, P-TECH, initially a partnership among IBM, the New York City school system and City Tech, has opened doors for thousands of students in communities with high concentrations of poverty. Its 266 schools now operate in 12 U.S. states and 28 countries…

 

More Employers Are Awarding Credentials. Is A Parallel Higher Education System Emerging? — from edsurge.com by Sean Gallagher and Holly Zanville

Excerpt:

As the acceptance of new types of credentials grows, a number of employers have become learning providers in their own right, in a way that could shake up the broader higher education landscape.

A growing number of companies have moved beyond training their own employees or providing tuition assistance programs to send staff members to higher education. Many of these employers are also developing their own curricula and rapidly expanding their publicly-facing credential offerings.

But the current boom in employer-issued credentials is different—and potentially transformational. Unlike the traditional IT certifications of decades past, these new credentials are less focused on proprietary technologies related to a given tech vendor, and are instead more focused on broadly applicable tech skill sets such as IT support, cloud computing and digital marketing.

 

Radar trends to watch: October 2020 — from oreilly.com

Excerpt:

This month, the big surprise is that there’s no significant technology news about COVID. And there is more news than ever about legislation and regulation. I suspect that the legal system will be a big driver for technology over the next year. Another trend that doesn’t quite count as technology news but that definitely bears watching is that college enrollment in the US is down. Grad schools are up, 4 year colleges are down slightly; the big hit is in 2 year colleges. COVID is probably the biggest contributing factor, but regardless of the cause, this is an inauspicious trend.

 

Acts of meaning: How AI-based interviewing will transform career preparation in higher education — from er.educause.edu by Alan Jones, Suzan Harkness and Nathan Mondragon

Excerpt:

Machines parrot and correlate information. They do not comprehend or synthesize information the way humans do. Factors such as accents in pronunciation, word ambiguity (especially if a word has multiple meanings), deeply coded biases, limited association data sets, narrow and limited network layers used in job screening, and static translations will continue to provide valid ground for caution in placing too much weight or attributing too much confidence in AI in its present form. Nonetheless, AI has crept into job candidate screening, the medical field, business analytics, higher education, and social media. What is currently essential is establishing an understanding of how best to harness and shape the use of AI to ensure it is equitable, valid, and reliable and to understand the shifting paradigm that professional career counselors play on campus as AI becomes more ubiquitous.

There appear to be three points worth considering: the AI interview in general, the predominance of word choice, and expressiveness as read by facial coding.

From DSC:
Until there is a lot more diversity within the fields of computer science and data science, I’m not as hopeful that biases can be rooted out. My niece, who worked for Microsoft for many years, finally left the company. She was tired of fighting the culture there. The large tech companies will need to do a lot better if AI is going to make FAIR and JUST inroads.

Plus, consider how many biases there are!

 

IBM, Amazon, and Microsoft abandon law enforcement face recognition market — from which-50.com by Andrew Birmingham

Excerpt:

Three global tech giants — IBM, Amazon, and Microsoft — have all announced that they will no longer sell their face recognition technology to police in the USA, though each announcement comes with its own nuance.

The new policy comes in the midst of ongoing national demonstrations in the US about police brutality and more generally the subject of racial inequality in the country under the umbrella of the Black Lives Matter movement.

From DSC:
While I didn’t read the fine print (so I don’t know all of the “nuances” they are referring to) I see this as good news indeed! Well done whomever at those companies paused, and thought…

 

…just because we can…

just because we can does not mean we should


…doesn’t mean we should.

 

just because we can does not mean we should

Addendum on 6/18/20:

  • Why Microsoft and Amazon are calling on Congress to regulate facial recognition tech — from finance.yahoo.com by Daniel HowleyExcerpt:
    The technology, which can be used to identify suspects in things like surveillance footage, has faced widespread criticism after studies found it can be biased against women and people of color. And according to at least one expert, there needs to be some form of regulation put in place if these technologies are going to be used by law enforcement agencies.“If these technologies were to be deployed, I think you cannot do it in the absence of legislation,” explained Siddharth Garg, assistant professor of computer science and engineering at NYU Tandon School of Engineering, told Yahoo Finance.
 

From DSC:
On one hand:

Next-gen supercomputers are fast-tracking treatments for the coronavirus in a race against time  — from cnbc.com by Charlie Wood

Key points:

  • Scientists are using IBM’s Summit, the world’s fastest supercomputer, to help find promising candidate drugs to fight the coronavirus epidemic.
  • Using the computer’s muscle, researchers digitally simulated how 8,000 different molecules would interact with the virus.
  • The project was able to identify 77 candidate molecules that other researchers can now test in trials.
  • Supercomputing is also being used to tackle other major global issues, such as climate change.

On the other hand:

AI could help with the next pandemic—but not with this one — from technologyreview.comby Will Douglas Heaven
Some things need to change if we want AI to be useful next time, and you might not like them.

“The hype outstrips the reality. In fact, the narrative that has appeared in many news reports & breathless press releases—that AI is a powerful new weapon against diseases—is only partly true & risks becoming counterproductive.”

 

 
© 2022 | Daniel Christian