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?
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.
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.
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 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:
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.
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.
Therefore, when adopting mobile AR to improve job performance, L&D professionals need to shift their mindset from offering training with AR alone to offering performance support with AR in the middle of the workflow.
The learning director from a supply chain industry pointed out that “70 percent of the information needed to build performance support systems already exists. The problem is it is all over the place and is available on different systems.”
It is the learning and development professional’s job to design a solution with the capability of the technology and present it in a way that most benefits the end users.
All participants revealed that mobile AR adoption in L&D is still new, but growing rapidly. L&D professionals face many opportunities and challenges. Understanding the benefits, challenges and opportunities of mobile AR used in the workplace is imperative.
A brief insert from DSC: Augmented Reality (AR) is about to hit the mainstream in the next 1-3 years. It will connect the physical world with the digital world in powerful, helpful ways (and likely in negative ways as well). I think it will be far bigger and more commonly used than Virtual Reality (VR). (By the way, I’m also including Mixed Reality (MR) within the greater AR domain.) With Artificial Intelligence (AI) making strides in object recognition, AR could be huge.
Learning & Development groups should ask for funding soon — or develop proposals for future funding as the new hardware and software products mature — in order to upskill at least some members of their groups in the near future.
As within Teaching & Learning Centers within higher education, L&D groups need to practice what they preach — and be sure to train their own people as well.
Professors, programmers and journalists could all be out of a job in just a few years, after the latest chatbot from the Elon Musk-founded OpenAI foundation stunned onlookers with its writing ability, proficiency at complex tasks, and ease of use.
The system, called ChatGPT, is the latest evolution of the GPT family of text-generating AIs. Two years ago, the team’s previous AI, GPT3, was able to generate an opinion piece for the Guardian, and ChatGPT has significant further capabilities.
In the days since it was released, academics have generated responses to exam queries that they say would result in full marks if submitted by an undergraduate, and programmers have used the tool to solve coding challenges in obscure programming languages in a matter of seconds – before writing limericks explaining the functionality.
Is the college essay dead? Are hordes of students going to use artificial intelligence to cheat on their writing assignments? Has machine learning reached the point where auto-generated text looks like what a typical first-year student might produce?
And what does it mean for professors if the answer to those questions is “yes”?
…
Scholars of teaching, writing, and digital literacy say there’s no doubt that tools like ChatGPT will, in some shape or form, become part of everyday writing, the way calculators and computers have become integral to math and science. It is critical, they say, to begin conversations with students and colleagues about how to shape and harness these AI tools as an aide, rather than a substitute, for learning.
“Academia really has to look at itself in the mirror and decide what it’s going to be,” said Josh Eyler, director of the Center for Excellence in Teaching and Learning at the University of Mississippi, who has criticized the “moral panic” he has seen in response to ChatGPT. “Is it going to be more concerned with compliance and policing behaviors and trying to get out in front of cheating, without any evidence to support whether or not that’s actually going to happen? Or does it want to think about trust in students as its first reaction and building that trust into its response and its pedagogy?”
ChatGPT is incredibly limited, but good enough at some things to create a misleading impression of greatness.
it’s a mistake to be relying on it for anything important right now. it’s a preview of progress; we have lots of work to do on robustness and truthfulness.
1/Large language models like Galactica and ChatGPT can spout nonsense in a confident, authoritative tone. This overconfidence – which reflects the data they’re trained on – makes them more likely to mislead.
The thing is, a good toy has a huge advantage: People love to play with it, and the more they do, the quicker its designers can make it into something more. People are documenting their experiences with ChatGPT on Twitter, looking like giddy kids experimenting with something they’re not even sure they should be allowed to have. There’s humor, discovery and a game of figuring out the limitations of the system.
And on the legal side of things:
In the legal education context, I’ve been playing around with generating fact patterns and short documents to use in exercises.
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.
The state of AI in 2022—and a half decade in review — from mckinsey.com The results of this year’s McKinsey Global Survey on AI show the expansion of the technology’s use since we began tracking it five years ago, but with a nuanced picture underneath.
A few weeks ago, Wharton professor Ethan Mollick told his MBA students to play around with GPT, an artificial intelligence model, and see if the technology could write an essay based on one of the topics discussed in his course. The assignment was, admittedly, mostly a gimmick meant to illustrate the power of the technology. Still, the algorithmically generated essays — although not perfect and a tad over-reliant on the passive voice — were at least reasonable, Mollick recalled. They also passed another critical test: a screening by Turnitin, a popular anti-plagiarism software. AI, it seems, had suddenly gotten pretty good.
It certainly feels that way right now. Over the past week or so, screenshots of conversations with ChatGPT, the newest iteration of the AI model developed by the research firm OpenAI, have gone viral on social media.
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:
Tell me you’re not going to want a pair of #AR glasses ?
After playing with in for the past 24 hours, I believe #ChatGPT is going to change the world, including the world of law and legal education. Ignore it at your peril. #AI#innovation#legaltech
More interesting results from #ChatGPT. I entered the same prompt about a bicycle accident twice — once bracketed by clear messaging that I was looking for legal advice, once without that messaging. Check out the differences. pic.twitter.com/BJJiGjAvs6
Seriously, #ChatGPT is going to change everything about how people gain access to legal information and guidance. Look at this. pic.twitter.com/BkxZlMxB9o
Out today! Catch the latest episode of Talk Justice for a look at creative ways to connect people with legal professionals and resources– by bus, kiosks and even a kayak! https://t.co/wApNohRJw3
There’s a certain feeling that happens when a new technology adjusts your thinking about computing. Google did it. Firefox did it. AWS did it. iPhone did it. OpenAI is doing it with ChatGPT.
In 2023, businesses will realise that, in order to get out of FAQ Land, they need to synchronise business systems together to deliver personalised transactional experiences for customers.
“We finally have the technologies to do all the things we imagined 10 years ago.”
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 2021, 2020 (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.
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.
