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 It’s an outdated and inefficient system and one that Central New Mexico Community College (CNM) is now helping to improve.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

 

Data Science: Re-Imagining Our Institutions at the Systems Level — from campustechnology.com by Mary Grush
A Q&A with George Siemens

Excerpt:

We know that higher education institutions have been exploring data science for decades. Many began by leveraging institutional data to serve administrative computing needs and efficiencies, later taking on an additional learning science focus, at least to some, often limited degree.

What can institutions do now, to use data science better and perhaps reinvent themselves in the process? Are they taking advantage of all the access they have to so many disciplines and researchers, to help move data science ahead in the real world? Here, George Siemens, who is a professor of practice at the University of Texas-Arlington and co-leads the Centre for Change and Complexity in Learning at the University of South Australia, talks with CT about data science in higher education.

 

Radar Trends to Watch: October 2022 — from oreilly.com by Mike Loukides
Developments in Machine Learning, Metaverse, Web3, and More

Excerpt:

September was a busy month. In addition to continued fascination over art generation with DALL-E and friends, and the questions they pose for intellectual property, we see interesting things happening with machine learning for low-powered processors: using attention, mechanisms, along with a new microcontroller that can run for a week on a single AA battery. In other parts of the technical universe, “platform engineering” has been proposed as an alternative to both DevOps and SRE. We’ve seen demonstrations of SQL injection-like attacks against GPT-3; and companies including Starbucks, Chipotle, and Universal Studios are offering NFT-based loyalty programs. (In addition to a Chipotle’s steak grilling demo in the Metaverse.)

Also relevant/see:

General AI News — from essentials.news

 

Also relevant/see the following post I created roughly a month ago:

In the USA, the perspectives of the ABA re: online-based learning — and their take on the pace of change — are downright worrisome.

In that posting I said:

For an industry in the 21st century whose main accreditation/governance body for law schools still won’t let more online learning occur without waivers…how can our nation expect future lawyers and law firms to be effective in an increasingly tech-enabled world?

The pace of the ABA is like that of a tortoise, while the pace of change is exponential

 

AI/ML in EdTech: The Miracle, The Grind, and the Wall — from eliterate.us by Michael Feldstein

Excerpt:

Essentially, I see three stages in working with artificial intelligence and machine learning (AI/ML). I call them the miracle, the grind, and the wall. These stages can have implications for both how we can get seduced by these technologies and how we can get bitten by them. The ethical implications are important.

 

Megatrends | September 25, 2022 — by Michael Moe, Tim Juang, Owen Ritz, & Kit Royce

“The trend is your friend.” – Martin Zweig

“Follow the trend lines, not the headlines.” – Bill Clinton

“In order to be irreplaceable, one must always be different.” – Coco Chanel

“I don’t set the trends. I just find out what they are and exploit them.” – Dick Clark

Megatrends are powerful technological, economic, and social forces that develop from a groundswell (early adoption), move into the mainstream (mass market), and disrupt the status quo (mature market), driving change, productivity, and ultimately growth opportunities for companies, industries, and entire economies.


.

The metaverse is not a vertical trend; it’s a horizontal trend that will impact sectors ranging from healthcare, education, socialization, entertainment, commerce, and more.

 

The Finalists of the American Legal Technology Awards Are…! — from artificiallawyer.com

Excerpt:

After receiving 225 submissions across eight categories, the American Legal Technology Awards have today announced the lucky finalists. They include a wide range of companies and individuals, ranging from judges, to law firms, to startups and larger legal tech businesses. So, without further ado, here are the finalists in the table below, with three finalists in each category.

Looking For Trouble And Finding It: The ABA Resolution To Condemn Non-Lawyer Ownership — from professionalresponsibility.fkks.com by Ron Minkoff

Excerpt:

At the ABA Annual Meeting last week, the Illinois State Bar Association (“ISBA”), the New York State Bar Association (“NYSBA”), and several ABA entities sponsored Local Resolution 402 (hereafter, the “ISBA Resolution”) in an effort to stop the entire ABA – if not the entire American legal profession – from permitting non-lawyer ownership of law firms, in any form.  The ISBA Resolution read as follows:

Teaching (and Pressuring) Law Professors to Teach Technology – Katie Brown (TGIR Ep. 171) — from legaltechmonitor.com by

Excerpt (emphasis DSC):

In her view, law professors “are required to educate people so that they can go out into the practice and successfully do that. And so beyond just, rule 1.1 with legal technology and having that competency, for us as law schools, I think we have an ethical obligation to be teaching legal technology.” This approach needs to be embedded into the Law School’s culture, because it costs money, time, and effort to do correctly.

From DSC:
Agree. I completely agree.

Understanding The Justice Gap — from medium.com by Kevin Golembiewski

Excerpt:

The law is a language. Pleading, cause of action, discovery, hearsay, res judicata, statute of limitations, civil procedure. To understand and protect your legal rights, you must learn this language and the complex rules that govern it. Or you must find an interpreter — that is, a lawyer. No different than if you were in a foreign country without an interpreter, if you have a legal problem but no lawyer, you cannot advocate for yourself.

That is the reality for millions of low-income Americans, according to a recent study by the Legal Services Corporation (LSC). About 50 million Americans have household incomes below 125% of the poverty threshold, and 92% of them do not have any, or enough, legal help for their civil legal issues — issues that range from eviction to domestic violence to disability benefits. Those Americans are stranded in the land of the law without an interpreter.

Litera releases The Changing Lawyer Report 2022 at ILTACON — from legalitprofessionals.com

Key takeaways

The five trends to watch, with some representative data points from the report include:

  1. Allied professionals (process managers, technologists, data analysts, etc.) play a more significant role in supporting law firms and lawyers and enhancing legal service delivery. 83% of lawyers believe that allied professionals make their job easier.
  2. Automation is everywhere, as law firms turn to AI and other technologies to enhance the speed and accuracy of legal processes across all practice areas. 91% of lawyers expect AI-based document review to become a standard part of most M&A due diligence processes.
  3. Technology and data improve client service delivery by providing real-time insights about law firm performance, pricing and budgeting, and work allocation. 78% of lawyers agree that technology helps them offer a better client experience.
  4. Cloud-based solutions are taking over, driven partly by the obvious need for remote and blended workplace access to law firm applications that arose during the pandemic. Leading types of cloud applications that have been moved to the cloud include financial and practice management (64% of firms), document management (53%), portals and intranets (35%), and business intelligence platforms (31%).
  5. Changing work expectations are a significant driver of technology adoption when lawyer recruitment and retention are challenges for law firms. A new generation of lawyers sees technology as a path to better work/life balance. 53% of lawyers ‘strongly agree’ or ‘agree’ with the statement technology makes my job more enjoyable.
 

#ILTACON22 Day One Roundup: News from DISCO, Docket Alarm, LexFusion, Relativity and Reveal — from legaltechmonitor.com by Bob Ambrogi

Excerpt:

[8/22/22] kicks off the first full day of ILTACON22, the annual conference of the International Legal Technology Association. Already, the day has brought a slew of news announcements from legal technology companies.

Here is a roundup of news announced this morning.

 

Coding Isn’t a Necessary Leadership Skill — But Digital Literacy Is — from hbr.org by Sophia Matveeva

Summary (emphasis DSC):

While most leaders now know that tech is a vital part of business, many are wondering what they really need to know about technology to succeed in the digital age. Coding bootcamps may appeal to some, but for many leaders, learning to code is simply not the best investment. It takes a long time to become a proficient coder, and it still doesn’t give you a holistic overview of how digital technologies get made. The good news is that most leaders don’t need to learn to code. Instead, they need to learn how to work with people who code. This means becoming a digital collaborator and learning how to work with developers, data scientists, user experience designers, and product managers — not completely retraining. The author presents four ways for non-technical leaders to become digital collaborators.

 


Ways that artificial intelligence is revolutionizing education — from thetechedvocate.org by Matthew Lynch

Excerpt:

I was speaking with an aging schoolteacher who believes that AI is destroying education. They challenged me to come up with 26 ways that artificial intelligence (AI) is improving education, and instead, I came up with. They’re right here.


AI Startup Speeds Healthcare Innovations To Save Lives — from by Geri Stengel

Excerpt:

This project was a light-bulb moment for her. The financial industry had Bloomberg to analyze content and data to help investors uncover opportunities and minimize risk, and pharmaceutical, biotech, and medical device companies needed something similar.



 

Radar Trends to Watch: July 2022 — from oreilly.com
Developments in AI, Metaverse, Programming, and More

Excerpt (emphasis DSC):

The most important issue facing technology might now be the protection of privacy. While that’s not a new concern, it’s a concern that most computer users have been willing to ignore, and that most technology companies have been willing to let them ignore. New state laws that criminalize having abortions out of state and the stockpiling of location information by antiabortion groups have made privacy an issue that can’t be ignored.

Also relevant/see:

 
 

Coursera’s Global Skills Report

Excerpt from the Executive Summary:

Here are some of our top findings:

  • Digital skills are the shared language of the modern economy.
  • Women’s participation continued to rise.
  • The developing world had the highest rate of learner growth.
  • Lower levels of internet access mean lower levels of skills proficiency.
  • Courses in human skills had more learners from developed countries, while those in digital skills had more from developing ones.
  • The U.S. held steady in its overall skills proficiency ranking—yet it lost meaningful ground in core technology and data science skills.
  • Europe leads the world in skills proficiency.
  • Proficiency in technology and data science skills varies widely across the Asia-Pacific region.
  • Learners used Coursera to understand the pandemic.
 

Every month Essentials publish an Industry Trend Report on AI in general and the following related topics:

  • AI Research
  • AI Applied Use Cases
  • AI Ethics
  • AI Robotics
  • AI Marketing
  • AI Cybersecurity
  • AI Healthcare

The Race to Hide Your Voice — from wired.com by Matt Burgess
Voice recognition—and data collection—have boomed in recent years. Researchers are figuring out how to protect your privacy.

AI: Where are we now? — from educause.edu by EDUCAUSE
Is the use of AI in higher education today invisible? dynamic? perilous? Maybe it’s all three.

What is artificial intelligence and how is it used? — from europart.europa.eu; with thanks to Tom Barrett for this resource

 
 
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