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.
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?’
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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.
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.
Education is key to tackle prevalent challenges. I’m excited to join the European Education Summit in Brussels today to share insight on future-proofing our education systems. #EduSummitEUpic.twitter.com/4H9ZO45HT9
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.
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.
A class-action lawsuit filed in a federal court in California this month takes aim at GitHub Copilot, a powerful tool that automatically writes working code when a programmer starts typing. The coder behind the suit argues that GitHub is infringing copyright because it does not provide attribution when Copilot reproduces open-source code covered by a license requiring it.
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Programmers have, of course, always studied, learned from, and copied each other’s code. But not everyone is sure it is fair for AI to do the same, especially if AI can then churn out tons of valuable code itself, without respecting the source material’s license requirements. “As a technologist, I’m a huge fan of AI ,” Butterick says. “I’m looking forward to all the possibilities of these tools. But they have to be fair to everybody.”
Whatever the outcome of the Copilot case, Villa says it could shape the destiny of other areas of generative AI. If the outcome of the Copilot case hinges on how similar AI-generated code is to its training material, there could be implications for systems that reproduce images or music that matches the style of material in their training data.
Also related to AI and art/creativity from Wired.com, see:
Picture Limitless Creativity at Your Fingertips— by Kevin Kelly Artificial intelligence can now make better art than most humans. Soon, these engines of wow will transform how we design just about everything.
Who Will Own the Art of the Future? — by Jessica Rizzo OpenAI has announced that it’s granting Dall-E users the right to commercialize their art. For now.
Soaring Travel Costs Put Lawyers Back on Zoom –– from kift.com Matthew Parsons Rising airfares and travel costs are prompting legal professionals involved in dispute resolutions to return to video conferencing.
With the cost of international air travel rising sharply, remote hearings are a practical alternative to in-person proceedings. International travel is expensive, and the virtual option means that it is no longer necessary to count travel as a “cost of doing business” when pursuing an international dispute. The widespread use of technology in global dispute resolution proceedings gives attorneys and their clients the option to participate remotely, which is a compelling cost saver for all parties.
Most debt lawsuits get decided without a fight. Michigan leaders want to change the rules. — from mlive.com by Matthew Miller Excerpt:
Most of the 1.9 million debt collection cases filed in Michigan’s district courts over the past decade or so never went to trial. Usually, the defendants don’t show up to court, and debt collectors win by default, according to data compiled by the Michigan Justice for All Commission. In most cases, the courts end up garnishing defendants’ wages, income tax returns or other assets, sometimes on the basis of complaints that include little more than the name of the creditor, an account number and the balance due.
And both debt lawsuits and garnishment are more common for people living in primarily Black neighborhoods, regardless of their income.
Members of the Commission say Michigan’s rules around debt collection lawsuits don’t do enough to protect regular people, who sometimes don’t find out they’ve been sued until they see money coming out of their paychecks.
An early participant in the Law Society of BC’s Innovation Sandbox, the Clinic offers the in-person and virtual help of 25 articling students located in 15 different BC communities —from Tofino to Cranbrook— with the support of 15 supervising lawyers, four staff and dozens of local mentors. Together, they provide fixed-fee services in a wide range of areas covering everyday legal problems.
The key to making this happen, I think, is to reorganize local schooling to take advantage of online (and increasingly, AI-generated) learning services, allowing in-person educators to adopt this coaching function.
As learning becomes more personalized, learning opportunities expanded and unbounded, and learning science research more robust, an updated and revised advisory role is more important than ever.
Redefining the coaching/mentor/advisor role as the educational landscape shifts is critical to ensure success for every learner.
NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer— from nvidianews.nvidia.com Tens of Thousands of NVIDIA GPUs, NVIDIA Quantum-2 InfiniBand and Full Stack of NVIDIA AI Software Coming to Azure; NVIDIA, Microsoft and Global Enterprises to Use Platform for Rapid, Cost-Effective AI Development and Deployment
Excerpt:
NVIDIA announced [on 11/16/22] a multi-year collaboration with Microsoft to build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking and full stack of AI software to help enterprises train, deploy and scale AI, including large, state-of-the-art models.
These are the most important AI trends, according to top AI experts— from nexxworks.com Somewhat in the shadow of the (often) overhyped metaverse and Web3 paradigms, AI seems to be developing at great speed. That’s why we asked a group of top AI experts in our network to describe what they think are the most important trends, evolutions and areas of interest of the moment in that domain.
Excerpt:
All of them have different backgrounds and areas of expertise, but some patterns still emerged in their stories, several of them mentioning ethics, the impact on the climate (both positively and negatively), the danger of overhyping, the need for transparency and explainability, interdisciplinary collaborations, robots and the many challenges that still need to be overcome.
Protein structures can be predicted using genetic data
Recognizing how climate change affects cities and regions
Analyzing astronomical data
AI in science examples
Interpreting social history with archival data
Using satellite images to aid in conservation
Understanding complex organic chemistry
Conclusion
Also relevant/see:
How ‘Responsible AI’ Is Ethically Shaping Our Future— from learningsolutionsmag.com by Markus Bernhardt Excerpt:
The PwC 2022 AI Business Survey finds that “AI success is becoming the rule, not the exception,” and, according to PwC US, published in the 2021 AI Predictions & 2021 Responsible AI Insights Report, “Responsible AI is the leading priority among industry leaders for AI applications in 2021, with emphasis on improving privacy, explainability, bias detection, and governance.”
In this article, we will discuss some of the most prominent and up-and-coming companies that provide these automated solutions that break down the language barrier.
Addendum on 11/17/22:
The State of Multilingual AI — from ruder.io This post takes a closer look at the state of multilingual AI. How multilingual are current models in NLP, computer vision, and speech? What are the main recent contributions in this area? What challenges remain and how we can we address them?
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