From the 45+ #books that I’ve read in last 2 years here are my top 10 recommendations for #learningdesigners or anyone in #learninganddevelopment
Speaking of recommended books (but from a more technical perspective this time), also see:
10 must-read tech books for 2023 — from enterprisersproject.com by Katie Sanders (Editorial Team) Get new thinking on the technologies of tomorrow – from AI to cloud and edge – and the related challenges for leaders
OpenAI has built the best Minecraft-playing bot yet by making it watch 70,000 hours of video of people playing the popular computer game. It showcases a powerful new technique that could be used to train machines to carry out a wide range of tasks by binging on sites like YouTube, a vast and untapped source of training data.
The Minecraft AI learned to perform complicated sequences of keyboard and mouse clicks to complete tasks in the game, such as chopping down trees and crafting tools. It’s the first bot that can craft so-called diamond tools, a task that typically takes good human players 20 minutes of high-speed clicking—or around 24,000 actions.
The result is a breakthrough for a technique known as imitation learning, in which neural networks are trained to perform tasks by watching humans do them.
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The team’s approach, called Video Pre-Training (VPT), gets around the bottleneck in imitation learning by training another neural network to label videos automatically.
“Most language learning software can help with the beginning part of learning basic vocabulary and grammar, but gaining any degree of fluency requires speaking out loud in an interactive environment,” Zwick told TechCrunch in an email interview. “To date, the only way people can get that sort of practice is through human tutors, which can also be expensive, difficult and intimidating.”
Speak’s solution is a collection of interactive speaking experiences that allow learners to practice conversing in English. Through the platform, users can hold open-ended conversations with an “AI tutor” on a range of topics while receiving feedback on their pronunciation, grammar and vocabulary.
It’s one of the top education apps in Korea on the iOS App Store, with over 15 million lessons started annually, 100,000 active subscribers and “double-digit million” annual recurring revenue.
If you last checked in on AI image makers a month ago & thought “that is a fun toy, but is far from useful…” Well, in just the last week or so two of the major AI systems updated.
You can now generate a solid image in one try. For example, “otter on a plane using wifi” 1st try: pic.twitter.com/DhiYeVMEEV
So, is this a cool development that will become a fun tool for many of us to play around with in the future? Sure. Will people use this in their work? Possibly. Will it disrupt artists across the board? Unlikely. There might be a few places where really generic artwork is the norm and the people that were paid very little to crank them out will be paid very little to input prompts. Look, PhotoShop and asset libraries made creating company logos very, very easy a long time ago. But people still don’t want to take the 30 minutes it takes to put one together, because thinking through all the options is not their thing. You still have to think through those options to enter an AI prompt. And people just want to leave that part to the artists. The same thing was true about the printing press. Hundreds of years of innovation has taught us that the hard part of the creation of art is the human coming up with the ideas, not the tools that create the art.
A quick comment from DSC: Possibly, at least in some cases. But I’ve seen enough home-grown, poorly-designed graphics and logos to make me wonder if that will be the case.
How to Teach With Deep Fake Technology — from techlearning.com by Erik Ofgang Despite the scary headlines, deep fake technology can be a powerful teaching tool
Excerpt:
The very concept of teaching with deep fake technology may be unsettling to some. After all, deep fake technology, which utilizes AI and machine learning and can alter videos and animate photographs in a manner that appears realistic, has frequently been covered in a negative light. The technology can be used to violate privacy and create fake videos of real people.
However, while these potential abuses of the technology are real and concerning that doesn’t mean we should turn a blind eye to the technology’s potential when using it responsibly, says Jaime Donally, a well-known immersive learning expert.
From DSC: I’m still not sure about this one…but I’ll try to be open to the possibilities here.
Recently, we spoke with three more participants of the AI Explorations program to learn about its ongoing impact in K-12 classrooms. Here, they share how the program is helping their districts implement AI curriculum with an eye toward equity in the classroom.
A hitherto stealth legal AI startup emerged from the shadows today with news via TechCrunch that it has raised $5 million in funding led by the startup fund of OpenAI, the company that developed advanced neural network AI systems such as GPT-3 and DALL-E 2.
The startup, called Harvey, will build on the GPT-3 technology to enable lawyers to create legal documents or perform legal research by providing simple instructions using natural language.
The company was founded by Winston Weinberg, formerly an associate at law firm O’Melveny & Myers, and Gabriel Pereyra, formerly a research scientist at DeepMind and most recently a machine learning engineer at Meta AI.
As the founder of a technology investment firm, I’ve seen firsthand just how much AI has advanced in such a short period of time. The underlying building blocks of the technology are getting astonishingly better at an exponential rate, far outpacing our expectations. Techniques like deep learning allow us to run complex AI models to solve the most difficult problems. But while those who work in technology-centric careers are aware of AI’s explosive capabilities, the public at large is still largely unaware of the depth of AI’s potential.
Enterprise functions such as marketing, sales, finance and HR are all areas that can utilize new AI-enabled applications; these applications include providing customers with 24/7 financial guidance, predicting and assessing loan risks and collecting and analyzing client data.
Let’s explore some real-life artificial intelligence applications.
Using Artificial Intelligence for Navigation
Marketers Use Artificial Intelligence to Increase Their Efficiency
The use of Artificial Intelligence in robotics
Gaming and Artificial Intelligence
Incorporating Artificial Intelligence into Lifestyles
Artificial intelligence (AI): 7 roles to prioritize now — from enterprisersproject.com by Marc Lewis; with thanks to Mr. Stephen Downes for this resource Which artificial intelligence (AI) jobs are hottest now? Consider these seven AI/ML roles to prioritize in your organization
While these seven AI roles are critical, finding talent to fill them is difficult. AI, machine learning, and data analytics are new fields, and few people have relevant experience.
This leads us back to the fact: We are dealing with a Great Reallocation of the labor force to an AI/Machine learning, data-driven world.
3 ways AI is scaling helpful technologies worldwide — from blog.google by Jeff Dean Decades of research have led to today’s rapid progress in AI. Today, we’re announcing three new ways people are poised to benefit.
Excerpts:
Supporting 1,000 languages with AI
Empowering creators and artists with AI
Addressing climate change and health challenges with AI
You’ve likely been reading for the last few minutes my arguments for why AI is going to change education. You may agree with some points, disagree with others…
Only, those were not my words.
An AI has written every single word in this essay up until here.
The only thing I wrote myself was the first sentence: Artificial Intelligence is going to revolutionize education. The images too, everything was generated by AI.
Google’s research arm on Wednesday showed off a whiz-bang assortment of artificial intelligence (AI) projects it’s incubating, aimed at everything from mitigating climate change to helping novelists craft prose.
Why it matters: AI has breathtaking potential to improve and enrich our lives — and comes with hugely worrisome risks of misuse, intrusion and malfeasance, if not developed and deployed responsibly.
Driving the news: The dozen-or-so AI projects that Google Research unfurled at a Manhattan media event are in various stages of development, with goals ranging from societal improvement (such as better health diagnoses) to pure creativity and fun (text-to-image generation that can help you build a 3D image of a skirt-clad monster made of marzipan).
… The “1,000 Languages Initiative”: Google is building an AI model that will work with the world’s 1,000 most-spoken languages.
AI “can have immense social benefits” and “unleash all this creativity,” said Marian Croak, head of Google Research’s center of expertise on responsible AI.
“But because it has such a broad impact on people, the risk involved can also be very huge. And if we don’t get that right … it can be very destructive.”
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And as Axios’ Scott Rosenberg has written, society is only just beginning to grapple with the legal and ethical questions raised by AI’s new capacity to generate text and images.
Get Ready to Relearn How to Use the Internet — from bloomberg.com by Tyle Cowen; with thanks to Sam DeBrule for this resource Everyone knows that an AI revolution is coming, but no one seems to realize how profoundly it will change their day-to-day life.
Excerpts:
This year has brought a lot of innovation in artificial intelligence, which I have tried to keep up with, but too many people still do not appreciate the import of what is to come. I commonly hear comments such as, “Those are cool images, graphic designers will work with that,” or, “GPT-3 is cool, it will be easier to cheat on term papers.” And then they end by saying: “But it won’t change my life.”
This view is likely to be proven wrong — and soon, as AI is about to revolutionize our entire information architecture. You will have to learn how to use the internet all over again.
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Change is coming. Consider Twitter, which I use each morning to gather information about the world. Less than two years from now, maybe I will speak into my computer, outline my topics of interest, and somebody’s version of AI will spit back to me a kind of Twitter remix, in a readable format and tailored to my needs.
The AI also will be not only responsive but active. Maybe it will tell me, “Today you really do need to read about Russia and changes in the UK government.” Or I might say, “More serendipity today, please,” and that wish would be granted.
Of course all this is just one man’s opinion. If you disagree, in a few years you will be able to ask the new AI engines what they think.
In this blog, we introduce an important natural language understanding (NLU) capability called Natural Language Assessment (NLA), and discuss how it can be helpful in the context of education. While typical NLU tasks focus on the user’s intent, NLA allows for the assessment of an answer from multiple perspectives. In situations where a user wants to know how good their answer is, NLA can offer an analysis of how close the answer is to what is expected. In situations where there may not be a “correct” answer, NLA can offer subtle insights that include topicality, relevance, verbosity, and beyond. We formulate the scope of NLA, present a practical model for carrying out topicality NLA, and showcase how NLA has been used to help job seekers practice answering interview questions with Google’s new interview prep tool, Interview Warmup.
A startup that provides AI-powered translation is working with the National Weather Service to improve language translations of extreme weather alerts across the U.S.
When I’ve been doing this with GPT-3, a 175 billion parameter language model, it has been uncanny how much it reminds me of blogging. When I’m writing this, from March through August 2022, large language models are not yet as good at responding to my prompts as the readers of my blog. But their capacity is improving fast and the prices are dropping.
Soon everyone can have an alien intelligence in their inbox.
We had to reengineer things for AlphaFold 2 and put a whole bunch of new ideas in there and also bring onto the team some more specialists—biologists and chemists and biophysicists who worked in protein folding—and combine them with our engineering and machine-learning team.
… Were you surprised that AlphaFold was so successful? Yeah, it was surprising, actually. I think it’s definitely been the hardest thing we’ve done, and I would also say the most complex system we’ve ever built.
Sometime in the past year or two, you’ve likely heard the word “metaverse.” It’s the future, the next big frontier of the internet, if you ask technology CEOs or researchers.
While the term has become the latest buzzword in education circles, what it means for teaching and learning largely remains to be seen. Experts say much of what we see marketed as the metaverse from education technology companies isn’t actually the metaverse.
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In a true metaverse experience, your digital identity travels between the physical and virtual worlds, Platt said. With the help of blockchain technology, that identity — your preferences, your achievements, your educational records, other elements of who you are — is maintained across platforms and applications.
One such firm is Grungo Colarulo, a personal injury law firm with offices in New Jersey and Pennsylvania. Last December, the firm announced that it had set up shop in the virtual world known as Decentraland.
Users can enter the firm’s virtual office, where they can interact with the firm’s avatar. They can talk to the avatar to see whether they might need legal representation and then take down a phone number to call the firm in the physical world. If they’re already clients, they can arrive for meetings or consultations.
Richard Grungo Jr., co-founder and name partner at Grungo Colarulo, told the ABA Journal in December 2021 that he could see the potential of the metaverse to allow his firm to host webinars, CLEs and other virtual educational opportunities, as well as hosting charity events.
Grungo joined the ABA Journal’s Victor Li to talk about how lawyers can use the metaverse to market themselves, as well as legal issues relating to the technology that all users should be aware of.
From DSC: I post this to put this on the radars of legal folks out there. Law schools should join the legaltech folks in pulse-checking and covering/addressing emerging technologies. What the Metaverse and Web3 become is too early to tell. My guess is that we’ll see a lot more blending of the real world with the digital world — especially via Augmented Reality (AR).
Satellite Billboards Are a Dystopian Future We Don’t Need — from gizmodo.com by George Dvorsky; with thanks to Laura Goodrich for this resource Brightly lit ads in orbit are technologically and economically viable, say Russian scientists. But can we not?
South Korea plans to provide digital identities encrypted by blockchain with smartphones to citizens in 2024 to facilitate its economic development., Bloomberg reported Monday.
The South Korean government stated that with the expansion of the digital economy, the ID embedded in the smartphone is an indispensable emerging technology to support the development of data.
From DSC: Interesting to see blockchain show up in the first item above on healthcare and also on this item coming out of South Korea for digital identities.
The Bruce Willis Deepfake Is Everyone’s Problem — from wired.com by Will Bedingfield; with thanks to Stephen Downes for this resource There’s a fight brewing over how Hollywood stars can protect their identities. But it’s not just actors who should be paying attention.
Excerpts:
Yet the question of “who owns Bruce Willis,” as Levy put it, isn’t only a concern for the Hollywood star and his representatives. It concerns actors unions across the world, fighting against contracts that exploit their members’ naivety about AI. And, for some experts, it’s a question that implicates everyone, portending a wilder, dystopian future—one in which identities are bought, sold, and seized.
“This is relevant not just to AI contracts [for synthetic performances], but any contract involving rights to one’s likeness and voice,” says Danielle S. Van Lier, assistant general counsel, intellectual property and contracts at SAG-AFTRA. “We have been seeing contracts that now include ‘simulation rights’ to performers’ images, voices, and performances. These contract terms are buried deep in the boilerplate of performance agreements in traditional media.”
Deloitte released the fifth edition of its State of AI in the Enterprise research report today, which surveyed more than 2,600 global executives on how businesses and industries are deploying and scaling artificial intelligence (AI) projects.
Most notably, the Deloitte report found that while AI continues to move tantalizingly closer to the core of the enterprise – 94% of business leaders agree that AI is critical to success over the next five years – for some, outcomes seem to be lagging.
What is a surprise, she added, is how quickly the AI landscape is changing – to the point that what began as an every-other-year Deloitte report is now created annually.
For Deloitte’s “State of AI in the Enterprise,” Fifth Edition, we surveyed 2,620 global business leaders representing six industry areas and dozens of sectors. Key findings include:
Ninety-four percent of business leaders surveyed agree that AI is critical to success over the next five years.
Seventy-nine percent of leaders say they have fully deployed three or more AI applications, compared to 62% last year.
There was a 29% increase in the number of respondents self-identifying as “underachievers,” suggesting that many organizations are struggling to achieve meaningful AI outcomes.
Top challenges associated with scaling according to respondents are managing AI-related risk (50%), lack of executive commitment (50%), lack of maintenance and post launch support (50%).
Live from #GartnerSYM | Building a Digital Future: The Metaverse with Marty Resnick, Gartner VP Analyst. Follow the thread for highlights ?? pic.twitter.com/k1zpjzqJXw
While he might know a thing or two about radical tech, to him it’s unconvincing that the average person sufficiently understands the concept of the metaverse enough to meaningfully incorporate it into their daily life.
The metaverse is just toowackyand weird.
And, according to science, he might be on to something.
In 2015 when Janet Napolitano, then president of the University of California, responded to what she saw as a steadily growing “chorus of doom” predicting the demise of higher education, she did so with a turn of phrase that captured my imagination and still does. She said that higher education is not in crisis. “Instead, it is in motion, and it always has been.”
A brief insert by DSC: Yes. In other words, it’s a learning ecosystem — with constant morphing & changing going on.
“We insisted then, and we continue to insist now, that digital transformation amounts to deep and coordinated change that substantially reshapes the operations, strategic directions, and value propositions of colleges and universities and that this change is enabled by culture, workforce, and technology shifts.
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The tidal movement to digital transformation is linked to a demonstrably broader recognition of the strategic role and value of technology professionals and leaders on campus, another area of long-standing EDUCAUSE advocacy. For longer than we have talked about digital transformation, we have insisted that technology must be understood as a strategic asset, not a utility, and that senior IT leaders must be part of the campus strategic decision-making. But the idea of a strategic role for technology had disappointing traction among senior campus leaders before 2020.
From DSC: The Presidents, Provosts, CIO’s, board members, influential faculty members, and other members of institutions’ key leadership positions who didn’t move powerfully forward with online-based learning over the last two+ decades missed the biggest thing to hit societies’ ability to learn in 500+ years — the Internet. Not sincethe invention of the printing presshas learning had such an incredible gust of wind put in its sails. The affordances have been staggering, with millions of people now being educated in much less expensive ways (MOOCs, YouTube, LinkedIn Learning, other). Those who didn’t move forward with online-based learning in the past are currently scrambling to even survive. We’ll see how many close their doors as the number of effective alternatives increases.
Instead of functioning as a one-time fix during the pandemic, technology has become ubiquitous and relied upon to an ever-increasing degree across campus and across the student experience.
Moving forward, best of luck to those organizations who don’t have their CIOs at the decision-making table and reporting directly to the Presidents — and hopefully those CIO’s are innovative and visionary to begin with. Best of luck to those institutions who refuse to look up and around to see that the world has significantly changed from the time they got their degrees.
The current mix of new realities creates an opportunity for an evolution and, ideally, a synchronized reimagination of higher education overall. This will be driven by technology innovation and technology professionals—and will be made even more enduring by a campus culture of care for students, faculty, and staff.
Time will tell if the current cultures within many traditional institutions of higher education will allow them to adapt/change…or not.
Along the lines of transformations in our learning ecosystems, also see:
We should use this moment to catalyze a digital transformation of education that will prepare schools for our uncertain future.
What should come next is an examination of how schools can more deeply and deliberately harness technology to make high-quality learning accessible to every learner, even in the wake of a crisis. That means a digital transformation, with three key levers for change: in the classroom, in schools and at the systems level.
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Platforms like these help improve student outcomes by enhancing teachers’ ability to meet individual students’ needs. They also allow learners to master new skills at their own pace, in their own way.
K-12 IT leaders move beyond silos to make a meaningful impact inside and outside their schools.According to Korn Ferry’s research on enterprise leadership, “Enterprise leaders envision and grow; scale and create. They go beyond by going across the enterprise, optimizing the whole organization and its entire ecosystem by leading outside what they can control. These are leaders who see their role as being a participant in diverse and dynamic communities.”
Today, the technology most commonly used to achieve AI is machine learning – advanced software algorithms designed to carry out one specific task, such as answering questions, translating languages or navigating a journey – and become increasingly good at it as they are exposed to more and more data.
Worldwide, spending by governments and business on AI technology will top $500 billion in 2023, according to IDC research. But how will it be used, and what impact will it have? Here, I outline what I believe will be the most important trends around the use of AI in business and society over the next 12 months.
State of AI Report 2022 — from stateof.ai by Nathan Benaich and Ian Hogarth The State of AI Report analyses the most interesting developments in AI. We aim to trigger an informed conversation about the state of AI and its implication for the future.
DSC: What?!?! How might this new type of “parallel reality” impact smart classrooms, conference rooms, and board rooms? And/or our living rooms? Will it help deliver more personalized learning experiences within a classroom?
There’s “virtual reality”, “augmented reality”, and “mixed reality” now added to the eXtended Reality #XR family, we have: “parallel reality”
– just consider how we might differentiate instruction with such technology! https://t.co/fQ17qsCkX4
— Immersive Learning Research Network – #iLRN (@immersiveLRN) October 11, 2022
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