Brainyacts #57: Education Tech— from thebrainyacts.beehiiv.com by Josh Kubicki

Excerpts:

Let’s look at some ideas of how law schools could use AI tools like Khanmigo or ChatGPT to support lectures, assignments, and discussions, or use plagiarism detection software to maintain academic integrity.

  1. Personalized learning
  2. Virtual tutors and coaches
  3. Interactive simulations
  4. Enhanced course materials
  5. Collaborative learning
  6. Automated assessment and feedback
  7. Continuous improvement
  8. Accessibility and inclusivity

AI Will Democratize Learning — from td.org by Julia Stiglitz and Sourabh Bajaj

Excerpts:

In particular, we’re betting on four trends for AI and L&D.

  1. Rapid content production
  2. Personalized content
  3. Detailed, continuous feedback
  4. Learner-driven exploration

In a world where only 7 percent of the global population has a college degree, and as many as three quarters of workers don’t feel equipped to learn the digital skills their employers will need in the future, this is the conversation people need to have.

Taken together, these trends will change the cost structure of education and give learning practitioners new superpowers. Learners of all backgrounds will be able to access quality content on any topic and receive the ongoing support they need to master new skills. Even small L&D teams will be able to create programs that have both deep and broad impact across their organizations.

The Next Evolution in Educational Technologies and Assisted Learning Enablement — from educationoneducation.substack.com by Jeannine Proctor

Excerpt:

Generative AI is set to play a pivotal role in the transformation of educational technologies and assisted learning. Its ability to personalize learning experiences, power intelligent tutoring systems, generate engaging content, facilitate collaboration, and assist in assessment and grading will significantly benefit both students and educators.

How Generative AI Will Enable Personalized Learning Experiences — from campustechnology.com by Rhea Kelly

Excerpt:

With today’s advancements in generative AI, that vision of personalized learning may not be far off from reality. We spoke with Dr. Kim Round, associate dean of the Western Governors University School of Education, about the potential of technologies like ChatGPT for learning, the need for AI literacy skills, why learning experience designers have a leg up on AI prompt engineering, and more. And get ready for more Star Trek references, because the parallels between AI and Sci Fi are futile to resist.

The Promise of Personalized Learning Never Delivered. Today’s AI Is Different — from the74million.org by John Bailey; with thanks to GSV for this resource

Excerpts:

There are four reasons why this generation of AI tools is likely to succeed where other technologies have failed:

    1. Smarter capabilities
    2. Reasoning engines
    3. Language is the interface
    4. Unprecedented scale

Latest NVIDIA Graphics Research Advances Generative AI’s Next Frontier — from blogs.nvidia.com by Aaron Lefohn
NVIDIA will present around 20 research papers at SIGGRAPH, the year’s most important computer graphics conference.

Excerpt:

NVIDIA today introduced a wave of cutting-edge AI research that will enable developers and artists to bring their ideas to life — whether still or moving, in 2D or 3D, hyperrealistic or fantastical.

Around 20 NVIDIA Research papers advancing generative AI and neural graphics — including collaborations with over a dozen universities in the U.S., Europe and Israel — are headed to SIGGRAPH 2023, the premier computer graphics conference, taking place Aug. 6-10 in Los Angeles.

The papers include generative AI models that turn text into personalized images; inverse rendering tools that transform still images into 3D objects; neural physics models that use AI to simulate complex 3D elements with stunning realism; and neural rendering models that unlock new capabilities for generating real-time, AI-powered visual details.

 

Also relevant to the item from Nvidia (above), see:

Unreal Engine’s Metahuman Creator — with thanks to Mr. Steven Chevalia for this resource

Excerpt:

MetaHuman is a complete framework that gives any creator the power to use highly realistic human characters in any way imaginable.

It includes MetaHuman Creator, a free cloud-based app that enables you to create fully rigged photorealistic digital humans in minutes.

From Unreal Engine -- Dozens of ready-made MetaHumans are at your fingertips.

 

From DSC:
As Rob Toews points out in his recent article out at Forbes.com, we had better hope that the Taiwan Semiconductor Manufacturing Company (TSMC) builds out the capacity to make chips in various countries. Why? Because:

The following statement is utterly ludicrous. It is also true. The world’s most important advanced technology is nearly all produced in a single facility.

What’s more, that facility is located in one of the most geopolitically fraught areas on earth—an area in which many analysts believe that war is inevitable within the decade.

The future of artificial intelligence hangs in the balance.

The Taiwan Semiconductor Manufacturing Company (TSMC) makes ***all of the world’s advanced AI chips.*** Most importantly, this means Nvidia’s GPUs; it also includes the AI chips from Google, AMD, Amazon, Microsoft, Cerebras, SambaNova, Untether and every other credible competitor.

— from The Geopolitics Of AI Chips Will Define The Future Of AI
out at Forbes.com by Rob Toews

Little surprise, then, that Time Magazine described TSMC
as “the world’s most important company that you’ve
probably never heard of.”

 


From DSC:
If that facility was actually the only one and something happened to it, look at how many things would be impacted as of early May 2023!


 

Examples of generative AI models

 

Introducing Teach AI — Empowering educators to teach w/ AI & about AI [ISTE & many others]


Teach AI -- Empowering educators to teach with AI and about AI


Also relevant/see:

 

2023 EDUCAUSE Horizon Report | Teaching and Learning Edition

2023 EDUCAUSE Horizon Report | Teaching and Learning Edition — from library.educause.edu

Excerpt:

The Future of Teaching and Learning
Artificial intelligence (AI) has taken the world by storm, with new AI-powered tools such as ChatGPT opening up new opportunities in higher education for content creation, communication, and learning, while also raising new concerns about the misuses and overreach of technology. Our shared humanity has also become a key focal point within higher education, as faculty and leaders continue to wrestle with understanding and meeting the diverse needs of students and to find ways of cultivating institutional communities that support student well-being and belonging.

For this year’s teaching and learning Horizon Report, then, our panelists’ discussions oscillated between these seemingly polar ideas: the supplanting of human activity with powerful new technological capabilities, and the need for more humanity at the center of everything we do. This report summarizes the results of those discussions and serves as one vantage point on where our future may be headed.

 
  1. The GPT-4 Browser That Will Change Your Search Game — from noise.beehiiv.com by Alex Banks
    Why Microsoft Has The ‘Edge’ On Google

Excerpts:

Microsoft has launched a GPT-4 enhanced Edge browser.

By integrating OpenAI’s GPT-4 technology with Microsoft Edge, you can now use ChatGPT as a copilot in your Bing browser. This delivers superior search results, generates content, and can even transform your copywriting skills (read on to find out how).

Benefits mentioned include: Better Search, Complete Answers, and Creative Spark.

The new interactive chat feature means you can get the complete answer you are looking for by refining your search by asking for more details, clarity, and ideas.

From DSC:
I have to say that since the late 90’s, I haven’t been a big fan of web browsers from Microsoft. (I don’t like how Microsoft unfairly buried Netscape Navigator and the folks who had out-innovated them during that time.) As such, I don’t use Edge so I can’t fully comment on the above article.

But I do have to say that this is the type of thing that may make me reevaluate my stance regarding Microsoft’s browsers. Integrating GPT-4 into their search/chat functionalities seems like it would be a very solid, strategic move — at least as of late April 2023.


Speaking of new items coming from Microsoft, also see:

Microsoft makes its AI-powered Designer tool available in preview — from techcrunch.com by Kyle Wiggers

Excerpts:

[On 4/27/23], Microsoft Designer, Microsoft’s AI-powered design tool, launched in public preview with an expanded set of features.

Announced in October, Designer is a Canva-like web app that can generate designs for presentations, posters, digital postcards, invitations, graphics and more to share on social media and other channels. It leverages user-created content and DALL-E 2, OpenAI’s text-to-image AI, to ideate designs, with drop-downs and text boxes for further customization and personalization.

Designer will remain free during the preview period, Microsoft says — it’s available via the Designer website and in Microsoft’s Edge browser through the sidebar. Once the Designer app is generally available, it’ll be included in Microsoft 365 Personal and Family subscriptions and have “some” functionality free to use for non-subscribers, though Microsoft didn’t elaborate.

 

The Edtech Insiders’ Rundown of ASU GSV 2023  — from edtechinsiders.substack.com by Sarah Morin, Alex Sarlin, and Ben Kornell

Excerpt:

A few current categories of AI in Edtech particularly jump out:

  • Teacher Productivity and Joy: Tools to make educators’ lives easier (and more fun?) by removing some of the more rote tasks of teaching, like lesson planning (we counted at least 8 different tools for lesson planning), resource curation and data collection.
  • Personalization and Learning Delivery: Tools to tailor instruction to the particular interests, learning preferences and preferred media consumption of students. This includes tools that convert text to video, video to text, text to comic books, Youtube to notes, and many more.
  • Study and Course Creation Tools: Tools for learners to automatically make quizzes, flashcards, notes or summaries of material, or even to automatically create full courses from a search term.
  • AI Tutors, Chatbots and Teachers: There will be no shortage of conversational AI “copilots” (which may take many guises) to support students in almost any learning context. Many Edtech companies launched their own during the conference. Possible differentiators here could be personality, safety, privacy, access to a proprietary or specific data set, or bots built on proprietary LLMs.
  • Simplifying Complex Processes: One of the most inspiring conversations of the conference for me was with Tiffany Green, founder of Uprooted Academy, about how AI can and should be used to remove bureaucratic barriers to college for underrepresented students (for example, used to autofill FAFSA forms, College Applications, to search for schools and access materials, etc). This is not the only complex bureaucratic process in education.
  • Educational LLMs: The race is on to create usable large language models for education that are safe, private, appropriate and classroom-ready. Merlyn Mind is working on this, and companies that make LLMs are sprouting up in other sectors…
 

EdTech Is Going Crazy For AI — from joshbersin.com by Josh Bersin

Excerpts:

This week I spent a few days at the ASU/GSV conference and ran into 7,000 educators, entrepreneurs, and corporate training people who had gone CRAZY for AI.

No, I’m not kidding. This community, which makes up people like training managers, community college leaders, educators, and policymakers is absolutely freaked out about ChatGPT, Large Language Models, and all sorts of issues with AI. Now don’t get me wrong: I’m a huge fan of this. But the frenzy is unprecedented: this is bigger than the excitement at the launch of the i-Phone.

Second, the L&D market is about to get disrupted like never before. I had two interactive sessions with about 200 L&D leaders and I essentially heard the same thing over and over. What is going to happen to our jobs when these Generative AI tools start automatically building content, assessments, teaching guides, rubrics, videos, and simulations in seconds?

The answer is pretty clear: you’re going to get disrupted. I’m not saying that L&D teams need to worry about their careers, but it’s very clear to me they’re going to have to swim upstream in a big hurry. As with all new technologies, it’s time for learning leaders to get to know these tools, understand how they work, and start to experiment with them as fast as you can.


Speaking of the ASU+GSV Summit, see this posting from Michael Moe:

EIEIO…Brave New World
By: Michael Moe, CFA, Brent Peus, Owen Ritz

Excerpt:

Last week, the 14th annual ASU+GSV Summit hosted over 7,000 leaders from 70+ companies well as over 900 of the world’s most innovative EdTech companies. Below are some of our favorite speeches from this year’s Summit…

***

Also see:

Imagining what’s possible in lifelong learning: Six insights from Stanford scholars at ASU+GSV — from acceleratelearning.stanford.edu by Isabel Sacks

Excerpt:

High-quality tutoring is one of the most effective educational interventions we have – but we need both humans and technology for it to work. In a standing-room-only session, GSE Professor Susanna Loeb, a faculty lead at the Stanford Accelerator for Learning, spoke alongside school district superintendents on the value of high-impact tutoring. The most important factors in effective tutoring, she said, are (1) the tutor has data on specific areas where the student needs support, (2) the tutor has high-quality materials and training, and (3) there is a positive, trusting relationship between the tutor and student. New technologies, including AI, can make the first and second elements much easier – but they will never be able to replace human adults in the relational piece, which is crucial to student engagement and motivation.



A guide to prompting AI (for what it is worth) — from oneusefulthing.org by Ethan Mollick
A little bit of magic, but mostly just practice

Excerpt (emphasis DSC):

Being “good at prompting” is a temporary state of affairs. The current AI systems are already very good at figuring out your intent, and they are getting better. Prompting is not going to be that important for that much longer. In fact, it already isn’t in GPT-4 and Bing. If you want to do something with AI, just ask it to help you do the thing. “I want to write a novel, what do you need to know to help me?” will get you surprisingly far.

The best way to use AI systems is not to craft the perfect prompt, but rather to use it interactively. Try asking for something. Then ask the AI to modify or adjust its output. Work with the AI, rather than trying to issue a single command that does everything you want. The more you experiment, the better off you are. Just use the AI a lot, and it will make a big difference – a lesson my class learned as they worked with the AI to create essays.

From DSC:
Agreed –> “Being “good at prompting” is a temporary state of affairs.” The User Interfaces that are/will be appearing will help greatly in this regard.


From DSC:
Bizarre…at least for me in late April of 2023:


Excerpt from Lore Issue #28: Drake, Grimes, and The Future of AI Music — from lore.com

Here’s a summary of what you need to know:

  • The rise of AI-generated music has ignited legal and ethical debates, with record labels invoking copyright law to remove AI-generated songs from platforms like YouTube.
  • Tech companies like Google face a conundrum: should they take down AI-generated content, and if so, on what grounds?
  • Some artists, like Grimes, are embracing the change, proposing new revenue-sharing models and utilizing blockchain-based smart contracts for royalties.
  • The future of AI-generated music presents both challenges and opportunities, with the potential to create new platforms and genres, democratize the industry, and redefine artist compensation.

The Need for AI PD — from techlearning.com by Erik Ofgang
Educators need training on how to effectively incorporate artificial intelligence into their teaching practice, says Lance Key, an award-winning educator.

“School never was fun for me,” he says, hoping that as an educator he could change that with his students. “I wanted to make learning fun.”  This ‘learning should be fun’ philosophy is at the heart of the approach he advises educators take when it comes to AI. 


Coursera Adds ChatGPT-Powered Learning Tools — from campustechnology.com by Kate Lucariello

Excerpt:

At its 11th annual conference in 2023, educational company Coursera announced it is adding ChatGPT-powered interactive ed tech tools to its learning platform, including a generative AI coach for students and an AI course-building tool for teachers. It will also add machine learning-powered translation, expanded VR immersive learning experiences, and more.

Coursera Coach will give learners a ChatGPT virtual coach to answer questions, give feedback, summarize video lectures and other materials, give career advice, and prepare them for job interviews. This feature will be available in the coming months.

From DSC:
Yes…it will be very interesting to see how tools and platforms interact from this time forth. The term “integration” will take a massive step forward, at least in my mind.


 
 

Fresh Voices on Legal Tech with Natalie Knowlton — from legaltalknetwork.com by Dennis Kennedy and Tom Mighell

EPISODE NOTES

Technology has become the main driver for increasing access to justice, and there are huge opportunities for legal service providers to leverage both existing and emerging tech to reach new clients. Dennis and Tom welcome Natalie Knowlton to discuss the current state of legal services, the justice gap, and ways technology is helping attorneys provide better and more affordable services to consumers. As always, stay tuned for the parting shots, that one tip, website, or observation that you can use the second the podcast ends.

New report on ChatGPT & generative AI in law firms shows opportunities abound, even as concerns persist — from thomsonreuters.com; via Brainyacts #43

Excerpt:

The survey, conducted in late-March by the Thomson Reuters Institute, gathered insight from more than 440 respondent lawyers at large and midsize law firms in the United States, United Kingdom, and Canada. The survey forms the basis of a new report, ChatGPT & Generative AI within Law Firms, which takes a deep look at the evolving attitudes towards generative AI and ChatGPT within law firms, measuring awareness and adoption of the technology as well as lawyers’ views on its potential risks.

The report also reveals several key findings that deserve special attention from law firm leaders and other legal professionals as ChatGPT and generative AI evolve from concept to reality for the vast majority of the legal industry participants. These findings include:

    • Attitudes are evolving around this technology
    • Firms are taking a cautiously proactive approach
    • There’s a growing awareness of the risks

‘Legal Tech Lists’: 5 Lawyer Tropes That Were Upended By Legal Tech — from abovethelaw.com by Jared Correia
These common fictitious scenarios would be solved by technology.

Excerpt:

There are lots of tropes related to lawyers and law firms that frequently show up in works of fiction.  The thing is, those tropes are tropes because they’re sort of old; they’ve been around for a long time. Now, however, modern technology can solve a heck of a lot of those issues. So, for this edition of the “Reference Manual of Lists,” we’re going to relay a trope, offer an example, and talk about how legal tech actually fixes the problem today.

The Future of Generative Large Language Models and Potential Applications in LegalTech — from jdsupra.com by Johannes Scholtes and Geoffrey Vance

Excerpt:

If you made it this far, you should by now understand that ChatGPT is not by itself a search engine, nor an eDiscovery data reviewer, a translator, knowledge base, or tool for legal analytics. But it can contribute to these functionalities.

In-person vs. virtual ADR — How to choose? — from reuters.com by Eric Larson

Excerpt:

April 20, 2023 – Alternative dispute resolution (ADR), a common technique parties can use to settle disputes with the help of a third party, offers several unique benefits over traditional litigation. It is typically more cost-effective, confidential and generally a preferred method to resolving disputes. As a result, counsel and their clients often view ADR as a no-brainer. But the once simple decision to engage in ADR is now complicated by whether to proceed in-person, virtually or with a hybrid approach.

ChatGPT: A Lawyer’s Friend or Ethical Time Bomb? A Look at Professional Responsibility in the Age of AI — from jdsupra.com by Mitchell, Williams, Selig, Gates, & Woodyard

Excerpt:

The emergence of ChatGPT comes with tremendous promise of increased automation and efficiency. But at what cost? In this blog post, we’ll explore the potential ethical time bomb of using ChatGPT and examine the responsibility of lawyers in the age of AI.

 

 


law-school-ai.vercel.app -- Your Personalized AI Chatbot for No-Nonsense Law Learning.


From DSC:
I haven’t used this app or their website (which seems to have a lot of broken links!). But my question/reflection is…is this a piece of legal education’s future? Or even larger than that? I can easily see a LegalGPT type of service out there for ***society at large.***


 

From DSC:
I don’t know anything about Jack Harlow. I just liked the idea of the NBA using AI to market the playoffs! I find this piece to be clever and creative. I’m sure we’ll be seeing a lot more of this kind of thing in the future. 

 

The mounting human and environmental costs of generative AI — from by Sasha Luccioni
Op-ed: Planetary impacts, escalating financial costs, and labor exploitation all factor.

Abstract image of a person wearing a gas mask, reaching out to a floating brain

Excerpt:

Over the past few months, the field of artificial intelligence has seen rapid growth, with wave after wave of new models like Dall-E and GPT-4 emerging one after another. Every week brings the promise of new and exciting models, products, and tools. It’s easy to get swept up in the waves of hype, but these shiny capabilities come at a real cost to society and the planet.

Downsides include the environmental toll of mining rare minerals, the human costs of the labor-intensive process of data annotation, and the escalating financial investment required to train AI models as they incorporate more parameters.

Let’s look at the innovations that have fueled recent generations of these models—and raised their associated costs.


Also relevant/see:

ChatGPT is Thirsty: a mini exec briefing — from BrainyActs #040 | ChatGPT’s Thirst Problem
Between the growing number of data centers + the exponential growth in consumer-grade Generative AI tools, water is becoming a scarce resource.

 

Google Devising Radical Search Changes to Beat Back A.I. Rivals — from nytimes.com by Nico Grant
The tech giant is sprinting to protect its core business with a flurry of projects, including updates to its search engine and plans for an all-new one.

Excerpt:

Google’s employees were shocked when they learned in March that the South Korean consumer electronics giant Samsung was considering replacing Google with Microsoft’s Bing as the default search engine on its devices.

For years, Bing had been a search engine also-ran. But it became a lot more interesting to industry insiders when it recently added new artificial intelligence technology.

A.I. competitors like the new Bing are quickly becoming the most serious threat to Google’s search business in 25 years, and in response, Google is racing to build an all-new search engine powered by the technology. It is also upgrading the existing one with A.I. features, according to internal documents reviewed by The Times.

P.S. According to The Rundown’s take on this:

The bottom line: Google is replacing the old-school method of displaying 10 results per page with an intelligent chatbot that provides instant answers.


Also relevant/see:

Google planning new search engine while working on new search features under Project Magi — from searchengineland.com by Barry Schwartz
Project Magi will help searchers complete transactions while incorporating search ads on the page.


Also relevant/see:

 

A.I. Is Coming for Lawyers, Again — from nytimes.com by Steve Lohr (behind paywall)
Previous advances in A.I. inspired predictions that the law was the lucrative profession most likely to suffer job losses. It didn’t happen. Is this time different?

Excerpt:

But unless the past isn’t a guide, the impact of the new technology is more likely to be a steadily rising tide than a sudden tidal wave. New A.I. technology will change the practice of law, and some jobs will be eliminated, but it also promises to make lawyers and paralegals more productive, and to create new roles. That is what happened after the introduction of other work-altering technologies like the personal computer and the internet.

One new study, by researchers at Princeton University, the University of Pennsylvania and New York University, concluded that the industry most exposed to the new A.I. was “legal services.” Another research report, by economists at Goldman Sachs, estimated that 44 percent of legal work could be automated. Only the work of office and administrative support jobs, at 46 percent, was higher.

Lawyers are only one occupation in the path of A.I. progress. A study by researchers at OpenAI, the creator of ChatGPT, and the University of Pennsylvania found that about 80 percent of American workers would have at least 10 percent of their tasks affected by the latest A.I. software.

Also relevant/see:

039 | Micro-legal & AI Legal Help — from thebrainyacts.beehiiv.com

Keywords for Better ChatGPT Responses

 

 
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