From DSC:
I put the following comment on Dan’s posting:

I couldn’t agree more Dan. Millions of people could benefit from the considered, careful research of — and eventual application of — technologies to significantly improve/impact access to justice (#A2J).


Also see:

Generative AI could radically alter the practice of law — from The Economist
Even if it doesn’t replace lawyers en masse

Excerpts:

According to a recent report from Goldman Sachs, a bank, 44% of legal tasks could be performed by AI, more than in any occupation surveyed except for clerical and administrative support. Lawyers spend an awful lot of time scrutinising tedious documents—the sort of thing that AI has already demonstrated it can do well. Lawyers use AI for a variety of tasks, including due diligence, research and data analytics. These applications have largely relied on “extractive” AI, which, as the name suggests, extracts information from a text, answering specific questions about its contents.

Ultimately this will be good news for clients. “People who go to lawyers don’t want lawyers: they want resolutions to their problems or the avoidance of problems altogether,” explains Mr Susskind. If AI can provide those outcomes then people will use AI. Many people already use software to do their taxes rather than rely on professionals; “Very few of them are complaining about the lack of social interaction with their tax advisers.”


Also see:


 

Apple’s $3,499 Vision Pro AR headset is finally here — from techcrunch.com by Brian Heater

Image of the Vision Pro AR headset from Apple

Image Credits: Apple

Excerpts:

“With Vision Pro, you’re no longer limited by a display,” Apple CEO Tim Cook said, introducing the new headset at WWDC 2023. Unlike earlier mixed reality reports, the system is far more focused on augmented reality than virtual. The company refresh to this new paradigm is “spatial computing.”


Reflections from Scott Belsky re: the Vision Pro — from implications.com


Apple WWDC 2023: Everything announced from the Apple Vision Pro to iOS 17, MacBook Air and more — from techcrunch.com by Christine Hall



Apple unveils new tech — from therundown.ai (The Rundown)

Here were the biggest things announced:

  • A 15” Macbook Air, now the thinnest 15’ laptop available
  • The new Mac Pro workstation, presumably a billion dollars
  • M2 Ultra, Apple’s new super chip
  • NameDrop, an AirDrop-integrated data-sharing feature allowing users to share contact info just by bringing their phones together
  • Journal, an ML-powered personalized journalling app
  • Standby, turning your iPhone into a nightstand alarm clock
  • A new, AI-powered update to autocorrect (finally)
  • Apple Vision Pro


Apple announces AR/VR headset called Vision Pro — from joinsuperhuman.ai by Zain Kahn

Excerpt:

“This is the first Apple product you look through and not at.” – Tim Cook

And with those famous words, Apple announced a new era of consumer tech.

Apple’s new headset will operate on VisionOS – its new operating system – and will work with existing iOS and iPad apps. The new OS is created specifically for spatial computing — the blend of digital content into real space.

Vision Pro is controlled through hand gestures, eye movements and your voice (parts of it assisted by AI). You can use apps, change their size, capture photos and videos and more.


From DSC:
Time will tell what happens with this new operating system and with this type of platform. I’m impressed with the engineering — as Apple wants me to be — but I doubt that this will become mainstream for quite some time yet. Also, I wonder what Steve Jobs would think of this…? Would he say that people would be willing to wear this headset (for long? at all?)? What about Jony Ive?

I’m sure the offered experiences will be excellent. But I won’t be buying one, as it’s waaaaaaaaay too expensive.


 

Why L&D should be at the forefront of the AI revolution — from managementtoday.co.uk by Bill Borrows
AI means that 50% of all employees will need reskilling or upskilling by 2025, according to the World Economic Forum.

Excerpt (emphasis DSC):

Ernst and Young dug a little deeper. “Today’s disruptive working landscape requires organisations to largely restructure the way they are doing work,” they noted in a bulletin in March this year. “Time now spent on tasks will be equally divided between people and machines. For these reasons, workforce roles will change and so do the skills needed to perform them.”

The World Economic Forum has pointed to this global skills gap and estimates that, while 85 million jobs will be displaced, 50% of all employees will need reskilling and/or upskilling by 2025. This, it almost goes without saying, will require Learning and Development departments to do the heavy-lifting in this initial transformational phase but also in an on-going capacity.

“And that’s the big problem,” says Hardman. “2025 is only two and half years away and the three pillars of L&D – knowledge transference, knowledge reinforcement and knowledge assessment – are crumbling. They have been unchanged for decades and are now, faced by revolutionary change, no longer fit for purpose.”


ChatGPT is the shakeup education needs — from eschoolnews.com by Joshua Sine
As technology evolves, industries must evolve alongside it, and education is no exception–especially when students heavily and regularly rely on edtech

Key points:

  • Education must evolve along with technology–students will expect it
  • Embracing new technologies helps education leverage adaptive technology that engage student interest
  • See related article: AI tools are set to impact tutoring in a big way


Welcome to the new surreal. How AI-generated video is changing film. — from technologyreview.com by Will Douglas Heaven
Exclusive: Watch the world premiere of the AI-generated short film The Frost.

.



The Future Of Education – Disruption Caused By AI And ChatGPT: Artificial Intelligence Series 3 Of 5 — from forbes.com by Nicole Serena Silver
Here are some ways AI can be introduced at various age levels


 

 


From DSC:
I also wanted to highlight the item below, which Barsee also mentioned above, as it will likely hit the world of education and training as well:



Also relevant/see:


 

 

The perils of consulting an Electric Monk — from jordanfurlong.substack.com by Jordan Furlong
Don’t blame ChatGPT for the infamous incident of the made-up cases. And don’t be too hard on the lawyer, either. We’re all susceptible to a machine that tells us exactly what we want to hear.

Excerpt:

But then the “ChatGPT Lawyer” story happened, and all hell broke loose on LawTwitter and LawLinkedIn, and I felt I needed to make three points, one of which involves an extra-terrestrial robot.

My first two points are pretty straightforward:

  1. The tsunami of gleeful overreaction from lawyers on social media, urging bans on the use of ChatGPT and predicting prison time for the hapless practitioner, speaks not only to their fear and loathing of generative AI, but also to their desperate hope that it’s all really nothing but hype and won’t disturb their happy status quo. Good luck with that.
  2. The condemnation and mockery of the lawyer himself, who made a bad mistake but who’s been buried by an utterly disproportionate avalanche of derision, speaks to the lack of compassion in this profession, whose members should pray that their worst day as a lawyer never makes it to the front page of The New York Times. There but for the grace of God.

Are you looking for evidence to support the side that’s hired you? Or are you looking for the truth? Choosing the first option has never been easier. It’s also never been more dangerous.


As referenced topic-wise by Jordan above, also see:

A lawyer used ChatGPT to prepare a court filing. It went horribly awry. — from cbsnews.com by Megan Cerullo


What I learned at CLOC 2023 — from alexofftherecord.com by Alex Su
This week I attended the premier legal operations conference. Here’s what I heard.

Excerpt:

Theme 1: Generative AI isn’t going anywhere
This was a huge theme throughout the conference. Whether it was vendors announcing GPT integrations, or panels discussing how to use AI, there was just an enormous amount of attention on generative AI. I’m certainly no stranger to all this hype, but I’d always wondered if it was all from my Silicon Valley bubble. It wasn’t.

What was driving all this interest in AI? Well, the ubiquity of ChatGPT. Everyone’s talking about it and trying to figure out how to incorporate it into the business. And not just in the U.S. It’s a worldwide trend. Word on the street is that it’s a CEO-level priority. Everywhere. So naturally it trickles down to the legal department.


We need to talk about ChatGPT — from mnbar.org by Damien Riehl

Excerpt:

How well do LLMs perform on legal tasks? 

Personal experience and anecdotal evidence indicate that LLMs’ current state provides impressive output in various legal tasks. Specifically, they provide extraordinary results on the following:

  • Drafting counterarguments.
  • Exploring client fact inquiries (e.g., “How did you lose money?”).
  • Ideating voir dire questions (and rating responses).
  • Summarizing statutes.
  • Calculating works’ copyright expiration.
  • Drafting privacy playbooks.
  • Drafting motions to dismiss.
  • Responding to cease-and-desist letters.
  • Crafting decision trees.
  • Creating chronologies.
  • Drafting contracts.
  • Extracting key elements from depositions.

 

 

Professors Plan Summer AI Upskilling, With or Without Support — from insidehighered.com by Susan D’Agostino
Academics seeking respite from the fire hose of AI information and hot takes launch summer workshops. But many of the grass-roots efforts fall short of meeting demand.

Excerpt:

In these summer faculty AI workshops, some plan to take their first tentative steps in redesigning assignments to recognize the AI-infused landscape. Others expect to evolve their in-progress teaching-with-AI practices. At some colleges, full-time staff will deliver the workshops or pay participants for professional development time. But some offerings are grassroots efforts delivered by faculty volunteers attended by participants on their own time. Even so, many worry that the efforts will fall short of meeting demand.

From DSC:
We aren’t used to this pace of change. It will take time for faculty members — as well as Instructional Designers, Instructional Technologists, Faculty Developers, Learning Experience Designers, Librarians, and others — to learn more about AI and its implications for teaching and learning. Faculty are learning. Staff are learning. Students are learning. Grace is needed. And faculty/staff modeling what it is to learn themselves is a good thing for students to see as well.


Also relevant/see:

It takes a village… Reflections on sustainable learning design — from The Educationalist (educationalist.substack.com) by Alexandra Mihai

Excerpts:

This can be done first and foremost through collaboration, bringing more people at the table, in a meaningful workflow, whereby they can make the best use of their expertise. Moreover, we need to take a step back and keep the big picture in mind, if we want to provide our students with a valuable experience.

This is all about creating and nurturing partnerships. Thinking in an inclusive way about who is at the table when we design our courses and our programmes and who we are currently missing. Generally speaking, the main actors involved should be: teaching staff, learning design professionals (under all their various names) and students. Yes, students. Although we are designing for their learning, they are all too often not part of the process.

In order to yield results, collaborative practice needs to be embedded in the institutional fabric, and this takes time. Building silos happens fast, breaking them is a long term process. Creating a culture of dialogue, with clear and replicable processes is key to making collaborative learning design work.

From DSC:
To me, Alexandra is addressing the topic of using teams to design, develop, and teach/offer courses. This is where a variety of skills and specialties can come together to produce an excellent learning experience. No one individual has all of the necessary skills — nor the necessary time. No way.

 


Webinars from Tom Barrett regarding AI for Education — a free webinar series

  • Webinar 6 replay
    • Miriam Scott – Head of Digital Education at Hillbrook Anglican School, Brisbane, Queensland, Australia.
    • Laura Bain – Head of Emerging Technologies and Innovation, Matthew Flinders Anglican College, Sunshine Coast, Queensland, Australia.
    • Nicole Dyson – Founder & CEO, Future Anything, Brisbane, Queensland, Australia.
  • Webinar 5 replay
    • In the fifth free webinar on AI for Education, I am joined by Dean Pearman, Head of Education at Beaconhills College and Tom Oliphant, Head of Technology and Enterprise at St John’s Grammar School. We explore questions about creativity, design and the new skills that are emerging. Join us to invest in your AI Literacy. Expand your toolset, broaden your understanding, and challenge your thinking.
  • Webinar 4 replay
    • You are watching the fourth free webinar, a dialogue about AI for education with Sophie Fenton, Steve Brophy and hosted by Tom Barrett Building Blocks – key AI concepts to learn. Practical frameworks for navigating the challenges of AI for education. Be part of a dialogue on provocations about AI and human centred education, truth and identity.
  • Webinar 3 replay – Claire Amos and Philly Wintle
  • Webinar 2 replay – Gemma Rainger and Dr Nick Jackson
  • Webinar 1 replay – Chantelle Love, Pip Cleaves and Steve Brophy

Using ChatGPT in Math Lesson Planning — from edutopia.org by Kristen Moore
Artificial intelligence tools are useful beyond language arts classes. Math teachers can use them to save time and create interesting lessons.


Democratic Inputs to AI — from openai.com
Our nonprofit organization, OpenAI, Inc., is launching a program to award ten $100,000 grants to fund experiments in setting up a democratic process for deciding what rules AI systems should follow, within the bounds defined by the law.


AI Canon — from a16z.com (Andreessen Horowitz) by Derrick Harris, Matt Bornstein, and Guido Appenzeller; via The Neuron newsletter

Excerpts:

Research in artificial intelligence is increasing at an exponential rate. It’s difficult for AI experts to keep up with everything new being published, and even harder for beginners to know where to start. So, in this post, we’re sharing a curated list of resources we’ve relied on to get smarter about modern AI. We call it the “AI Canon” because these papers, blog posts, courses, and guides have had an outsized impact on the field over the past several years.

Table of contents

  • A gentle introduction
  • Foundational learning
  • Tech deep dive
  • Practical guides to building with LLMs
  • Market analysis
  • Landmark research results

Generative AI hits Adobe Photoshop!

Generative AI hits Adobe Photoshop!

 

NVIDIA ACE for Games is a new foundry for intelligent in-game characters powered by generative AI. Developers of middleware, tools, and games can use NVIDIA ACE for Games to build and deploy customized speech, conversation, and animation AI models in their software and games.

From DSC:
I can’t wait to see this type of thing integrated into educational games/simulations/training.

 

From DSC:
And how long before that type of interactivity is embedded into learning-related applications/games?!


 


AI in Learning: The Impact of ChatGPT on L&D & Workflow Learning — from linkedin.com; this event by Bob Mosher features his conversation with Donald Clark

AI in Learning: The Impact of ChatGPT on L&D & Workflow Learning -- from linkedin.com; this event by Bob Mosher features his conversation with Donald Clark



Bill Gates says AI is poised to destroy search engines and Amazon — from futurism.com by Victor Tangermann
Who will win the AI [competition]? (DSC: I substituted the word competition here, as that’s what it is. It’s not a war, it’s a part of America’s way of doing business.)

“Whoever wins the personal agent, that’s the big thing, because you will never go to a search site again, you will never go to a productivity site, you’ll never go to Amazon again,” Gates said during a Goldman Sachs event on AI in San Francisco this week, as quoted by CNBC.

These AI assistants could “read the stuff you don’t have time to read,” he said, allowing users to get to information without having to use a search engine like Google.


EdX launches ChatGPT-powered plugin, learning assistant — from edscoop.com
The online learning firm edX introduced two new tools powered by ChatGPT, the “first of many innovations” in generative AI for the platform.

The online learning platform edX introduced two new tools on Friday based on OpenAI’s ChatGPT technology: an edX plugin for ChatGPT and a learning assistant embedded in the edX platform, called Xpert.

According to the company, its plugin will enable ChatGPT Plus subscribers to discover educational programs and explore learning content such as videos and quizzes across edX’s library of 4,200 courses.


Bing is now the default search for ChatGPT — from theverge.com by Tom Warren; via superhuman.beehiiv.com
The close partnership between Microsoft and OpenAI leads to plug-in interoperability and search defaults.

Excerpt:

OpenAI will start using Bing as the default search experience for ChatGPT. The new search functionality will be rolling out to ChatGPT Plus users today and will be enabled for all free ChatGPT users soon through a plug-in in ChatGPT.



How ChatGPT Could Help or Hurt Students With Disabilities — from chronicle.com by Beth McMurtrie

Excerpt:

  • Students with mobility challenges may find it easier to use generative AI tools — such as ChatGPT or Elicit — to help them conduct research if that means they can avoid a trip to the library.
  • Students who have trouble navigating conversations — such as those along the autism spectrum — could use these tools for “social scripting.” In that scenario, they might ask ChatGPT to give them three ways to start a conversation with classmates about a group project.
  • Students who have trouble organizing their thoughts might benefit from asking a generative AI tool to suggest an opening paragraph for an essay they’re working on — not to plagiarize, but to help them get over “the terror of the blank page,” says Karen Costa, a faculty-development facilitator who, among other things, focuses on teaching, learning, and living with ADHD. “AI can help build momentum.”
  • ChatGPT is good at productive repetition. That is a practice most teachers use anyway to reinforce learning. But AI can take that to the next level by allowing students who have trouble processing information to repeatedly generate examples, definitions, questions, and scenarios of concepts they are learning.

It’s not all on you to figure this out and have all the answers. Partner with your students and explore this together.


A new antibiotic, discovered with artificial intelligence, may defeat a dangerous superbug — from edition.cnn.com by Brenda Goodman



8 YouTube Channels to Learn AI — from techthatmatters.beehiiv.com by Harsh Makadia

  • The AI Advantage (link)
  • Jason West (link)
  • TheAIGRID (link)
  • Prompt Engineering (link)
  • Matt Wolfe (link)
  • Two-Minute Papers (link)
  • Brett Malinowski (link)
  • 10X Income (link)

AI and the Future of Teaching and Learning | Insights and Recommendations from the Office of Educational Technology

Artificial Intelligence and the Future of Teaching and Learning | Insights and Recommendations — with thanks to Robert Gibson on LinkedIn for this resource


Ai Valley -- the latest source of AI tools and prompts

 

Intentional Teaching — from intentionalteaching.buzzsprout.com by Derek Bruff
Rethinking Teaching in an Age of AI with James M. Lang and Michelle D. Miller

Podcast from Derek Bruff -- Rethinking Teaching in an Age of AI with James M. Lang and Michelle D. Miller

Excerpt:

In her 2022 book Remembering and Forgetting in the Age of Technology, Michelle D. Miller writes about the “moral panics” that often happen in response to new technologies. In his 2013 book Cheating Lessons: Learning from Academic Dishonesty, James M. Lang argues that the best way to reduce cheating is through better course design. What do these authors have to say about teaching in an age of generative AI tools like ChatGPT? Lots!

 


Governance of superintelligence — from openai.com
Now is a good time to start thinking about the governance of superintelligence—future AI systems dramatically more capable than even AGI.

Governance of superintelligence Now is a good time to start thinking about the governance of superintelligence—future AI systems dramatically more capable than even AGI.

OpenAI leaders propose international regulatory body for AI — from techcrunch.com by Devin Coldewey

Excerpt:

AI is developing rapidly enough and the dangers it may pose are clear enough that OpenAI’s leadership believes that the world needs an international regulatory body akin to that governing nuclear power — and fast. But not too fast. In a post to the company’s blog, OpenAI founder Sam Altman, President Greg Brockman and Chief Scientist Ilya Sutskever explain that the pace of innovation in artificial intelligence is so fast that we can’t expect existing authorities to adequately rein in the technology. While there’s a certain quality of patting themselves on the back here, it’s clear to any impartial observer that the tech, most visibly in OpenAI’s explosively popular ChatGPT conversational agent, represents a unique threat as well as an invaluable asset.

OpenAI-backed robot startup beats Elon Musk’s Tesla, deploys AI-enabled robots in real world — from firstpost.com by Mehul Reuben Das; via The Rundown
A robotics startup backed by OpenAI, the makers of ChatGPT has beaten Elon Musk’s Tesla in the humanoid robots race, and has successfully deployed humanoid robots as security guards. Next, they will be deploying the robots in hospices and assisted living facilities

A robotics startup backed by OpenAI, the makers of ChatGPT has beaten Elon Musk’s Tesla in the humanoid robots race, and has successfully deployed humanoid robots as security guards. Next, they will be deploying the robots in hospices and assisted living facilities.


From DSC:
Hmmm…given the crisis of loneliness in the United States, I’m not sure that this type of thing is a good thing. But I’m sure there are those who would argue the other side of this.


Turn ideas into music with MusicLM — from blog.google
Experiment today by describing a musical idea and hearing it come to life.

MusicLM is an experimental text-to-music model that can generate unique songs based on your ideas or descriptions.

 

What new grads can expect as they enter the working world — from mckinsey.com by Patrick Guggenberger, Dana Maor, Michael Park, and Patrick Simon

Excerpt:

May 21, 2023 It’s officially the season of caps, gowns, and stoles—and new grads are gearing up for entry into the world of work at a time when organizations are undergoing massive shifts. “The shifts include complex questions about how to organize for speed to shore up resilience, find the right balance between in-person and remote work models, address employees’ declining mental health, and build new institutional capabilities at a time of rapid technological change, among others,” write Patrick Guggenberger, Dana Maor, Michael Park, and Patrick Simon in a new report. These changes have significant implications for structures, processes, and people. How can new grads set themselves up for success in a quickly evolving environment? If you’re a soon-to-be new grad or know one, check out our newly refreshed special collection for insights and interviews on topics including productivity, hybrid work models, worker preferences, tech trends, and much more.


On a somewhat relevant posting (it has to do with career development as well), also see:

From Basic to Brand: How to Build and Use a Purposeful LinkedIn Profile — from er.educause.edu by Ryan MacTaggart and Laurie Burruss
Developing a professional brand helps higher education professionals establish meaningful work-related connections and build credibility in their area of expertise.


 

Adobe supercharges Photoshop with Firefly Generative AI — from blog.adobe.com by Pam Clark

Excerpt:

Starting today, Photoshop subscribers can tap into the magic of Firefly, our family of creative generative AI models, directly in the Photoshop desktop (beta) app – using their own, natural language to prompt Photoshop to create extraordinary images with Generative Fill. These prompts can be used to add content, remove or replace parts of an image and extend the edges of an image. Generative Fill is infused into every selection feature in Photoshop, and we have created a new generative layer type so you can work non-destructively. In addition, Generative Fill is also available as a module within the Firefly beta.

 

Colleges Race to Hire and Build Amid AI ‘Gold Rush’ — from insidehighered.com Susan D’Agostino
Cue the bulldozers to make room for hordes of new AI faculty. But computer scientists willing to teach are in short supply, and innovation’s trajectory is rarely predictable.

A simulation of the University of Southern California’s new seven-story “computation hall,” part of its more than $1 billion AI initiative, which also includes 90 new faculty members and a new school.USC

Excerpt (emphasis DSC):

The University at Albany, part of the State University of New York, will hire 27 new faculty members—all specializing in AI—in the largest cluster hire in the institution’s history. Purdue University will recruit 50 new AI faculty. Emory University will hire between 60 and 75 new faculty members, including an endowed chair, for its AI Humanity Initiative.

When it comes to artificial intelligence, some universities are going big—very big. The University of Southern California has invested more than $1 billion in its AI initiative that will include 90 new faculty members, a new seven-story building and a new school.

From DSC:
Time will tell whether colleges and universities will be able to find and hire these folks.  My guess? For the most part, no they won’t.

Such talent will likely go to deep-pocketed players, startups, and/or new alternatives to institutions of traditional higher education. The disparate salary levels, risk-averse nature, and overall culture of higher education may not be attractive to some of these individuals. Plus, the future of higher education is not looking as solid.

 
© 2024 | Daniel Christian