How AI And 5G Could Lead The Next Phase Of The Industrial Revolution — from swisscognitive.ch

Some use cases of the convergence of AI and 5G are:

  • Metaverse: AI is a key technology that helps bring Metaverse to life and now with the addition of 5G, streaming experiences would become enjoyable and maintaining connectivity without any disruption of external factors like geographical locations would be eliminated.
  • Digital assistants in the form of chatbots and virtual avatars: Digital assistants today use AI to replicate the human brain and converse with people in human language by understanding intent. With 5G the speed at which the speech is converted to text will improve drastically.
  • Education: AI and 5G are helping bring education to students’ doorstep through virtual reality and is making this available, efficiently as in real-world classrooms. Solving queries is possible quickly without any restrictions. Betty in Archie Comics attending her classes virtually is a reality due to these technologies.
  • Healthcare: AI and 5G in healthcare are proliferating an accurate diagnosis of diseases, real-time monitoring, and quick treatment facilities. This has become possible with the right use of data- collection, transmission, and analysis.
  • Automotive: AI and 5G together is making vehicles smarter and reducing the risk of mishaps on roads by employing various data-powered safety and driving efficiency measures in vehicles.

AI Timelines: What Do Experts in Artificial Intelligence Expect for the Future? — from singularityhub.com by Dr. Max Roser

Excerpt:

What I do take away from these surveys however, is that the majority of AI experts take the prospect of very powerful AI technology seriously. It is not the case that AI researchers dismiss extremely powerful AI as mere fantasy.

The huge majority thinks that in the coming decades there is an even chance that we will see AI technology which will have a transformative impact on our world. While some have long timelines, many think it is possible that we have very little time before these technologies arrive. Across the three surveys more than half think that there is a 50% chance that a human-level AI would be developed before some point in the 2060s, a time well within the lifetime of today’s young people.

Future Of Health: Top Five Digital Health Innovations For 2023 — from forbes.com by Anita Gupta

Excerpts:

  • Connected Digital Care
  • AI In Healthcare
  • Real-World Patient Engagement In Healthcare
  • Increase Security For Digital And Health Data
  • Improving Telehealth Services

Looking ahead to 2023: AI, machine learning, RTLS and robotic process automation — from healthcareitnews.com by Bill Siwicki
These advanced technologies will do more to help provider organizations with workflow optimization, staff shortages and the patient experience in the year ahead, one expert predicts.

Three reasons why NLP will go mainstream in healthcare in 2023 — from healthcareitnews.com by Bill Siwicki
A natural language processing expert explains why he feels the technology’s kinks have been ironed out, its ROI has been proven and the timing is right for healthcare to take advantage of information-extraction tools.

13 tech predictions for 2023 — from enterprisersproject.com by Katie Sanders
What can you expect in the world of IT next year? Business and IT leaders share their thoughts

Analysts Predictions About AI In 2023 — from forbes.com by Gil Press

Excerpts:

  • Automated software development
  • Automated content and commerce
  • Enterprise governance, risk, sustainability and security
  • Consumer interactions and experiences

Top 5 Edge AI Trends to Watch in 2023 — from nvidia.com by Amanda Saunders

Excerpt:

Until now, AI has operated almost exclusively in the cloud. But increasingly diverse streams of data are being generated around the clock from sensors at the edge. These require real-time inference, which is leading more AI deployments to move to edge computing.

For airports, stores, hospitals and more, AI brings advanced efficiency, automation and even cost reduction, which is why edge AI adoption accelerated last year.

In 2023, expect to see a similarly challenging environment, which will drive the following edge AI trends.

Digital transformation: 5 trends to watch in 2023 — from enterprisersproject.com by Ritish Reddy
As enterprises continue to digitally transform, IT leaders must look toward the future. Expect to see these trends in 2023

 

NextGen Justice Tech: What regulatory reform could mean for justice tech — from thomsonreuters.com Kristen Sonday

Excerpts (emphasis DSC):

One year in, the Utah Supreme Court had approved 30 companies, including those that created initiatives to provide individuals help completing court forms and receiving legal advice via chatbot.

The ruling is monumental because it allows legal professionals to provide guidance on completing legal forms that might be applied to other areas of law, including through online tools that can reach exponentially more individuals.

“By ruling in favor of Upsolve, the Southern District of New York… established a new First Amendment right in America: the right for low-income families to receive free, vetted, and accountable legal advice from professionals who aren’t lawyers,” said Rohan Pavuluri, Upsolve’s Co-Founder and CEO.

UChicago Medicine partners with legal aid lawyers to offer legal help to victims of violence — from abajournal.com by Debra Cassens Weiss

Excerpt:

The University of Chicago Medicine is working with Legal Aid Chicago to embed lawyers at the system’s trauma center in Chicago’s Hyde Park neighborhood to help victims of violence.

Legal AI: A Lawyer’s New Best Friend? — from legaltechmonitor.com by Stephen Embry

Excerpt:

The real question AI poses for the legal profession, says Susskind, is to what extent machines can be used to reduce uncertainty posed by problems. The fundamental question, says Susskind, is thus what problems lawyers are currently trying to solve that machines can solve better and quicker. The lawyer’s job in the future will be to focus on what clients really want: outcomes. Machines can’t provide outcomes, only reduce the uncertainty surrounding the potential outcomes, according to Susskind.

What Does Copyright Say about Generative Models? Not much. — from oreilly.com by Mike Loukides

Excerpt:

Ultimately we need both solutions: fixing copyright law to accommodate works used to train AI systems, and developing AI systems that respect the rights of the people who made the works on which their models were trained. One can’t happen without the other.

‘Complicit bias’ and ‘lawfare’ among top new legal terms in 2022 — from abajournal.com by Debra Cassens Weiss

Excerpt:

“Complicit bias” tops a list of new legal terms and expressions in 2022 compiled by law professors and academics who are on a committee for Burton’s Legal Thesaurus.

Law360 has a story on the top new terms and their meanings. According to the story, “complicit bias” refers to “an institution or community’s complicity in sustaining discrimination and harassment.”

Law360 listed 10 top legal terms, including these:

Why 2023 Will Be The Year of AI + My First Music Video — from legallydisrupted.com by Zach Abramowitz
ChatGPT Did Not Write This Song

 
Imagine my delight when co-founder of Coursera Daphne Koehler came into my office in 2012 to explain the radical concept behind her new business. What if you could Partner with the World’s best universities and professors to provide FREE online courses? Like other successful FREEMIUM models, you monetize the platform downstream by creating massive network effects and convert a small percentage to paying customers (we had invested in other successful FREEMIUM models such as Facebook, Twitter, Spotify and Snap, so why wouldn’t that work here?)

Today, over 113 million learners from around the world access the platform to gain knowledge, to earn certificates and get diplomas from the top universities.

The Coursera ride has been amazing for most of the past decade, with over 100 million students, 200 universities and 5000 courses on the platform. And while the vast majority of the students on Coursera don’t pay a dime, the company has built a business with over $500 million in revenue and nearly a $2 billion market cap today.

Estimates are for the company to do $520 million in revenue in 2022, up from $415 million in 2021 and estimated $623 million in 2023. Coursera is losing money currently but has $424 million in cash and could turn profitable if it prioritized that and sells at 1.3x 2023 sales.

 

Female scientists challenge stereotypes | Not the Science Type — from 3M.com
Female scientists challenge stereotypes and blaze paths for future generations in this 3M-produced docuseries

Excerpt:

STEM education has an access issue: let’s change that.

Around the world, people believe the we need more people in STEM careers. Eighty-seven percent of people believe we need to do more to encourage and retain girls in STEM education. At the same time, barriers remain – 73% of people believe underrepresented minorities often lack equal access STEM education.

Not The Science Type gets to the heart of access and gender inequity in STEM education and STEM fields. This four-part docuseries features four female scientists who are challenging stereotypes and confronting gender, racial and age discrimination as they rise to prominence.

Not The Science Type highlights four brilliant minds, showcasing women who break down boundaries within their fields – biology, engineering and science and technology-based applications.
.

Female scientists challenge stereotypes and blaze paths for future generations in this 3M-produced docuseries.

While each woman has taken a different path to pursue scientific excellence, they are bound by the common experience of feeling excluded, or “not the type” in traditionally homogenous fields.

 

How Skills Are Disrupting Work: The Transformational Power of Fast-Growing, In-Demand Skills — from burningglassinstitute.org by Nik Dawson, Alexandra Martin, Matt Sigelman, Gad Levanon, Stephanie Blochinger, Jennifer Thornton, and Janet Chen
A “State of Skills” Report from the Burning Glass Institute, the Business-Higher Education Forum, and Wiley

On average, 37% of the top 20 skills requested for the average U.S. job have changed since 2016.

Excerpt:
By analyzing hundreds of millions of recent U.S. job postings, the Burning Glass Institute and the Business–Higher Education Forum (BHEF) identified four of the fastest-growing, highest-demand emerging skill sets:

  • Artificial Intelligence/Machine Learning
  • Cloud Computing
  • Product Management
  • Social Media

These four skill sets serve as a laboratory for understanding what business and education leaders can do to prepare workers and students for skills disruption. To illustrate how programs can help learners and workers acquire essential skills, this report includes profiles of recent innovations from the BHEF network.

The future belongs to those who seek to understand, anticipate, and harness the power of emerging skills, rather than maintain a posture of reaction/response.

The prospect of helping all those who are challenged by skill disruption hinges on the readiness of business and higher education to engage in understanding and planning for skill disruption over the long term.

From DSC:
“On average, 37% of the top 20 skills requested for the average U.S. job have changed since 2016.” That’s what I’m talking about when I talk about the exponential pace of change. It’s hard to deal with. Our institutions of education are not used to this pace of change. Our legal system isn’t used to this pace of change. And there are other industries struggling to keep up.

Should the pace of change be an element of our design when we think about using Design Thinking to create a new lifelong learning ecosystem?

 

ChatGPT, Chatbots and Artificial Intelligence in Education — from ditchthattextbook.com by Matt Miller
AI just stormed into the classroom with the emergence of ChatGPT. How do we teach now that it exists? How can we use it? Here are some ideas.

Excerpt:
Now, we’re wondering …

  • What is ChatGPT? And, more broadly, what are chatbots and AI?
  • How is this going to impact education?
  • How can I teach tomorrow knowing that this exists?
  • Can I use this as a tool for teaching and learning?
  • Should we block it through the school internet filter — or try to ban it?

Also relevant/see:

We gave ChatGPT a college-level microbiology quiz. It blew the quiz away. — from bigthink.com by Dr. Alex Berezow
ChatGPT’s capabilities are astonishing.

Key takeaways:

  • The tech world is abuzz over ChatGPT, a chat bot that is said to be the most advanced ever made.
  • It can create poems, songs, and even computer code. It convincingly constructed a passage of text on how to remove a peanut butter sandwich from a VCR, in the voice of the King James Bible.
  • As a PhD microbiologist, I devised a 10-question quiz that would be appropriate as a final exam for college-level microbiology students. ChatGPT blew it away.

ChatGPT Is Dumber Than You Think — from theatlantic.com by Ian Bogost
Treat it like a toy, not a tool.

Excerpt:

On the one hand, yes, ChatGPT is capable of producing prose that looks convincing. But on the other hand, what it means to be convincing depends on context. The kind of prose you might find engaging and even startling in the context of a generative encounter with an AI suddenly seems just terrible in the context of a professional essay published in a magazine such as The Atlantic. And, as Warner’s comments clarify, the writing you might find persuasive as a teacher (or marketing manager or lawyer or journalist or whatever else) might have been so by virtue of position rather than meaning: The essay was extant and competent; the report was in your inbox on time; the newspaper article communicated apparent facts that you were able to accept or reject.

I Would Have Cheated in College Using ChatGPT — from eliterate.us by Michael Feldstein

Excerpt:

These lines of demarcation—the lines between when a tool can do all of a job, some of it, or none of it—are both constantly moving and critical to watch. Because they define knowledge work and point to the future of work. We need to be teaching people how to do the kinds of knowledge work that computers can’t do well and are not likely to be able to do well in the near future. Much has been written about the economic implications to the AI revolution, some of which are problematic for the employment market. But we can put too much emphasis on that part. Learning about artificial intelligence can be a means for exploring, appreciating, and refining natural intelligence. These tools are fun. I learn from using them. Those two statements are connected.

Google to Rival OpenAI’s ChatGPT? New AI Bot for Chats in 2023, CEO Claims to Use it for Search — from techtimes.com by Isaiah Richard
Google to expand its Search engine with AI for 2023, but not in a creepy way.

Excerpt:

Google is planning to create a new AI feature for its Search engine, one that would rival the recently released and controversial ChatGPT from OpenAI. The company revealed this after a recent Google executive meeting that involved the likes of its CEO Sundar Pichai and AI head, Jeff Dean, that talked about the technology that the internet company already has, soon for development.

Employees from the Mountain View giant were concerned that it was behind the current AI trends to the likes of OpenAI despite already having a similar technology laying around.


And more focused on the business/vocational/corporate training worlds:

Sana raises $34M for its AI-based knowledge management and learning platform for workplaces — from techcrunch.com by Ingrid Lunden

There are a lot of knowledge management, enterprise learning and enterprise search products on the market today, but what Sana believes it has struck on uniquely is a platform that combines all three to work together: a knowledge management-meets-enterprise-search-meets-e-learning platform.

Exclusive: ChatGPT owner OpenAI projects $1 billion in revenue by 2024 — from reuters.com by Jeffrey Dastin, Krystal Hu, and Paresh Dave

Excerpt:

Three sources briefed on OpenAI’s recent pitch to investors said the organization expects $200 million in revenue next year and $1 billion by 2024.

The forecast, first reported by Reuters, represents how some in Silicon Valley are betting the underlying technology will go far beyond splashy and sometimes flawed public demos.

“We’re going to see advances in 2023 that people two years ago would have expected in 2033. It’s going to be extremely important not just for Microsoft’s future, but for everyone’s future,” he said in an interview this week.


Addendum on 12/21/22:

ChatGPT and higher education: last week and this week — from bryanalexander.org by Bryan Alexander

 
 

“Tech predictions for 2023 and beyond” — from allthingsdistributed.com by Werner Vogels, Chief Technology Officer at Amazon

Excerpts:

  • Prediction 1: Cloud technologies will redefine sports as we know them
  • Prediction 2: Simulated worlds will reinvent the way we experiment
  • Prediction 3: A surge of innovation in smart energy
  • Prediction 4: The upcoming supply chain transformation
  • Prediction 5: Custom silicon goes mainstream
 
  • From DSC:
    I continue to think about the idea of wiping the slate completely clean. If we were to design a lifelong learning ecosystem, what would it look like? How could we apply Design Thinking to this new slate/canvas?

Perhaps we could start by purposefully creating more pathways to weave in and out of the various siloes — and then come back into the “silos” with new ideas, knowledge, and experiences:

  • PreK-12
  • Higher education
  • Vocational programs
  • Business and the corporate world
  • Government
  • Communities of practice
  • Other

Integrate apprenticeships, jobs, sabbaticals, rest, purpose, passions, intrinsic motivations, other into this lifelong learning ecosystem. Take one’s new learning back to one’s former silo(s) and improve things therein. Such a design would help keep curricula and learning/training environments up-to-date and relevant.

It would also allow people more pathways through their careers — and to keep learning while doing real-world projects. It would help people — and institutions— grow in many ways.

 

Thriving education systems, thriving youth — from events.economist.com by Economist Impact

Some of the key topics to be discussed include:

  • What are the challenges in how we measure learning outcomes today, and how does this need to transform?
  •  What is a learning ecosystem? What does a successful learning ecosystem look like?  
  • What factors enable the development of thriving learning ecosystems?  
  • Who are the key stakeholders that make up the learning ecosystem? How do different stakeholders see their role in the learning ecosystem?
  • Which national policies need to be in place to support effective education ecosystems?
  • What information and data do we need to assess how well learning ecosystems are performing?
  • What data do we need to collect so that we don’t perpetuate traditional approaches to defining and measuring success? 

 

From DSC:
I was watching a sermon the other day, and I’m always amazed when the pastor doesn’t need to read their notes (or hardly ever refers to them). And they can still do this in a much longer sermon too. Not me man.

It got me wondering about the idea of having a teleprompter on our future Augmented Reality (AR) glasses and/or on our Virtual Reality (VR) headsets.  Or perhaps such functionality will be provided on our mobile devices as well (i.e., our smartphones, tablets, laptops, other) via cloud-based applications.

One could see one’s presentation, sermon, main points for the meeting, what charges are being brought against the defendant, etc. and the system would know to scroll down as you said the words (via Natural Language Processing (NLP)).  If you went off script, the system would stop scrolling and you might need to scroll down manually or just begin where you left off.

For that matter, I suppose a faculty member could turn on and off a feed for an AI-based stream of content on where a topic is in the textbook. Or a CEO or University President could get prompted to refer to a particular section of the Strategic Plan. Hmmm…I don’t know…it might be too much cognitive load/overload…I’d have to try it out.

And/or perhaps this is a feature in our future videoconferencing applications.

But I just wanted to throw these ideas out there in case someone wanted to run with one or more of them.

Along these lines, see:

.

Is a teleprompter a feature in our future Augmented Reality (AR) glasses?

Is a teleprompter a feature in our future Augmented Reality (AR) glasses?

 




CIO Review > Legal Technology postings

Example resources:


Also see:

PODCAST EPISODE 369: USING SPACED REPETITION FOR YOUR LAW SCHOOL AND BAR EXAM STUDIES (W/GABRIEL TENINBAUM)

In this episode we discuss:

  • Some background on our guest Gabe Teninbaum, and why he’s passionate about spaced repetition
  • The theory behind spaced repetition and how it works in practice
  • Using spaced repetition to memorize material as a law student
  • How early in your study should you start using the spaced repetition technique?
  • Does learning with spaced repetition as a law student help lay the foundation for bar study?
  • How you can use the spacedrepetition.com website for your law school and bar exam studies
 

Speaking of technology and the law, also see:

Holding Court Outside the Courtroom — from legaltalknetwork.com

Host: Molly McDonough, Legal Talk Network Podcast Producer and Founder of Molly McDonough Media, LLC.

Guests:

  • Dori Rapaport, Executive Director at Legal Aid Services of Northeastern Minnesota
  • David Estep, Supervising Attorney at Legal Aid of West Virginia
  • Honorable Jeanne M. Robison, Salt Lake City Justice Court Judge
 

The Top 10 Digital Health Stories Of 2022 — from medicalfuturist.com by Dr. Bertalan Mesko

Excerpt:

Edging towards the end of the year, it is time for a summary of how digital health progressed in 2022. It is easy to get lost in the noise – I myself shared well over a thousand articles, studies and news items between January and the end of November 2022. Thus, just like in 20212020 (and so on), I picked the 10 topics I believe will have the most significance in the future of healthcare.

9. Smart TVs Becoming A Remote Care Platform
The concept of turning one’s TV into a remote care hub isn’t new. Back in 2012, researchers designed a remote health assistance system for the elderly to use through a TV set. But we are exploring this idea now as a major tech company has recently pushed for telehealth through TVs. In early 2022, electronics giant LG announced that its smart TVs will be equipped with the remote health platform Independa. 

And in just a few months (late November) came a follow-up: a product called Carepoint TV Kit 200L, in beta testing now. Powered by Amwell’s Converge platform, the product is aimed at helping clinicians more easily engage with patients amid healthcare’s workforce shortage crisis.

Also relevant/see:

Asynchronous Telemedicine Is Coming And Here Is Why It’s The Future Of Remote Care — from medicalfuturist.com by Dr. Bertalan Mesko

Excerpt:

Asynchronous telemedicine is one of those terms we will need to get used to in the coming years. Although it may sound alien, chances are you have been using some form of it for a while.

With the progress of digital health, especially due to the pandemic’s impact, remote care has become a popular approach in the healthcare setting. It can come in two forms: synchronous telemedicine and asynchronous telemedicine.

 

How High School Should Change for an Era of AI and Robots — from edsurge.com by Jeffrey R. Young

Excerpt:

In other words, we have for the last century and a half in the knowledge economy been educating our students to become repositories of information—whether they’re lawyers or doctors [or engineers] and so forth. And then somebody pays them a great deal of money to extract some of that knowledge from their heads. What’s happening now is that’s being reposited in algorithms increasingly, and that’s only going to be more the case going forward, so that the most intelligent, capable medical diagnostician, I predict, will be a computer somewhere in the next 20 years.

What is the role of the doctor then? The doctor’s role is to be a knowledgeable interpreter of that algorithmic diagnosis—to check it, to make sure that there wasn’t a snafu, and to make sure that there is no social bias in the outcome. And also to help interpret that into a regimen for treatment and healing on the part of the patient in a human-connected, empathic way.

And [at Iowa Big], one of the very first questions that one of her teachers asked her was, ‘What makes you mad?’

The systems that we have for public education are becoming more rigidified, not more experimental and resilient. And they’re becoming increasingly non-functional. And I believe they’re going to face some sort of systemic collapse.

And here are several other items from the education space:

All Teacher Shortages Are Local, New Research Finds — from the74million.org by Kevin Mahnken
In a study released [on 12/1/22], researchers show that teacher vacancy levels vary drastically between schools in the same communities

Excerpt:

K-12 teacher shortages — one of the most disputed questions in education policy today — are an undeniable reality in some communities, a newly released study indicates. But they are also a hyper-local phenomenon, the authors write, with fully staffed schools existing in close proximity to those that struggle to hire and retain teachers.

The paper, circulated Thursday through Brown University’s Annenberg Institute for School Reform, uses a combination of survey responses and statewide administrative records from Tennessee to create a framework for identifying how and where teacher shortages emerge.

Why Are Americans Fleeing Public Schools? — from washingtonpost.com by John D. Harden and Steven Johnson
Seven parents on choosing private education for their kids

Excerpt:

The pandemic transformed the landscape of K-12 education. Some parents withdrew their kids from public school and placed them into private or home schools. Their reasons varied: Many preferred private schools that offered in-person instruction; others distrusted public schools’ pandemic precautions.

It’s not clear whether those trends will stick, and the factors are complex. So far, data show that since 2019, private enrollment is up, public enrollment is down and home schooling has become more popular. Families flocked to private and home schools at the greatest rate in a decade, according to American Community Survey estimates from the U.S. Census. The government projects that K-12 public school enrollment — already facing demographic pressures — will drop further to about 46 million students by fall 2030, according to the National Center for Education Statistics, reversing decades of growth.

 

 

Mississippi microschools are expanding education options for families — from spn.org by Kerry McDonald

Excerpt:

When Stephanie Harper decided to open Harper Learning Academy in Byram, Mississippi in August, her goal was to create a small, personalized educational setting in which her daughter would thrive. Conventional classroom environments weren’t a good match for Harper’s child. They also weren’t working well for the daughter of Harper’s colleague, Tekeeta Funchess. Harper and Funchess had been longtime teachers in the Jackson Public Schools before they left their jobs to provide educational consulting services to public school districts through the firm Harper founded in 2016.

As they worked together, they realized their daughters were experiencing similar challenges in standard school settings. “We’re mothers with children who learn differently who are trying to improve the system but realized that the system wasn’t working for our children,” said Harper, who is a certified teacher with a Ph.D. in education. They also suspected it wasn’t working for many other children as well.

 
© 2025 | Daniel Christian