From DSC:
I recently ran into the following item:


UK university opens VR classroom — from inavateonthenet.net

Students at the University of Nottingham will be learning through a dedicated VR classroom, enabling remote viewing and teaching for students and lecturers.

Based in the university’s Engineering Science and Learning Centre (ELSC), this classroom, believed to be the first in the UK to use a dedicated VR classroom, using 40 VR headsets, 35 of which are tethered overhead to individual PCs, with five available as traditional, desk-based systems with display screens.


I admit that I was excited to see this article and I congratulate the University of Nottingham on their vision here. I hope that they can introduce more use cases and applications to provide evidence of VR’s headway.

As I look at virtual reality…

  • On the plus side, I’ve spoken with people who love to use their VR-based headsets for fun workouts/exercises. I’ve witnessed the sweat, so I know that’s true. And I believe there is value in having the ability to walk through museums that one can’t afford to get to. And I’m sure that the gamers have found some incredibly entertaining competitions out there. The experience of being immersed can be highly engaging. So there are some niche use cases for sure.
  • But on the negative side, the technologies surrounding VR haven’t progressed as much as I thought they would have by now. For example, I’m disappointed Apple’s taken so long to put a product out there, and I don’t want to invest $3500 in their new product. From the reviews and items on social media that I’ve seen, the reception is lukewarm. At the most basic level, I’m not sure people want to wear a headset for more than a few minutes.

So overall, I’d like to see more use cases and less nausea.


Addendum on 2/27/24:

Leyard ‘wall of wonder’ wows visitors at Molecular Biology Lab — from inavateonthenet.net

 

From DSC:
This would be huge for all of our learning ecosystems, as the learning agents could remember where a particular student or employee is at in terms of their learning curve for a particular topic.


Say What? Chat With RTX Brings Custom Chatbot to NVIDIA RTX AI PCs — from blogs.nvidia.com
Tech demo gives anyone with an RTX GPU the power of a personalized GPT chatbot.



 

Generative AI in a Nutshell – how to survive and thrive in the age of AI — from youtube.com by Henrik Kniberg; via Robert Gibson and Adam Garry on LinkedIn


Lawless superintelligence: Zero evidence that AI can be controlled — from earth.com by Eric Ralls

In the realm of technological advancements, artificial intelligence (AI) stands out as a beacon of immeasurable potential, yet also as a source of existential angst when considering that AI might already be beyond our ability to control.

Dr. Roman V. Yampolskiy, a leading figure in AI safety, shares his insights into this dual-natured beast in his thought-provoking work, “AI: Unexplainable, Unpredictable, Uncontrollable.”

His research underscores a chilling truth: our current understanding and control of AI are woefully inadequate, posing a threat that could either lead to unprecedented prosperity or catastrophic extinction.


From DSC:
This next item is for actors, actresses, and voiceover specialists:

Turn your voice into passive income. — from elevenlabs.io; via Ben’s Bites
Are you a professional voice actor? Sign up and share your voice today to start earning rewards every time it’s used.


 

 

“AI native” Gen Zers are comfortable on the cutting edge — from axios.com by Jennifer A. Kingson; via The Rundown AI

When it comes to generative AI at school and work, Gen Z says: Bring it on.

Why it matters: While some workers are fearful or ambivalent about how ChatGPT, DALL-E and their ilk will affect their jobs, many college students and newly minted grads think it can give them a career edge.

  • So-called “AI natives” who are studying the technology in school may have a leg up on older “digital natives” — the same way that “digital native” millennials smugly bested their “digital immigrant” elders.

 

 

Top 6 Use Cases of Generative AI in Education in 2024 — from research.aimultiple.com by Cem Dilmegani

Use cases included:

  1. Personalized Lessons
  2. Course Design
  3. Content Creation for Courses
  4. Data Privacy Protection for Analytical Models
  5. Restoring Old Learning Materials
  6. Tutoring

The Next Phase of AI in Education at the U.S. Department of Education — from medium.com by Office of Ed Tech

Why are we doing this work?
Over the past two years, the U.S. Department of Education has been committed to maintaining an ongoing conversation with educators, students, researchers, developers — and the educational community at large — related to the continuous progress of Artificial Intelligence (AI) development and its implications for teaching and learning.

Many educators are seeking resources clarifying what AI is and how it will impact their work and their students. Similarly, developers of educational technology (“edtech”) products seek guidance on what guardrails exist that can support their efforts. After the release of our May 2023 report Artificial Intelligence and the Future of Teaching and Learningwe heard the desire for more.


2024 EDUCAUSE AI Landscape Study — from library.educause.edu by Jenay Robert

Moving from reaction to action, higher education stakeholders are currently exploring the opportunities afforded by AI for teaching, learning, and work while maintaining a sense of caution for the vast array of risks AI-powered technologies pose. To aid in these efforts, we present this inaugural EDUCAUSE AI Landscape Study, in which we summarize the higher education community’s current sentiments and experiences related to strategic planning and readiness, policies and procedures, workforce, and the future of AI in higher education.


AI Update for K-16 Administrators: More People Need to Step-Up and Take the AI Bull By the Horns — from stefanbauschard.substack.com by Stefan Bauschard
AI capabilities are way beyond what most schools are aware of, and they will transform education and society over the next few years.

Educational administrators should not worry about every AI development, but should, instead focus on the big picture, as those big picture changes will change the entire world and the educational system.

AI and related technologies (robotics, synthetic biology, and brain-computer interfaces) will continue to impact society and the entire educational system over the next 10 years. This impact on the system will be greater than anything that has happened over the last 100 years, including COVID-19, as COVID-19 eventually ended and the disruptive force of these technologies will only continue to develop.

AI is the bull in the China Shop, redefining the world and the educational system. Students writing a paper with AI is barely a poke in the educational world relative to what is starting to happen (active AI teachers and tutors; AI assessment; AI glasses; immersive learning environments; young students able to start their own business with AI tools; AIs replacing and changing jobs; deep voice and video fakes; intelligence leveling; individualized instruction; interactive and highly intelligent computers; computers that can act autonomously; and more).


 

 

How This College Dropout Raised $29 Million for His Online Education Platform and Landed the Biggest Investor of All — Shaq — from entrepreneur.com by Dan Bova; via GSV
Campus founder Tade Oyerinde and investor Shaquille O’Neal discuss the debt-free mission of the online community college.

Key Takeaways

  • Campus offers two-year associate degrees with tuition costs that allow many students to go for free.
  • The online community college has garnered $29 million in investment.
  • Shaq says the company met his criteria for investment: a passionate founder, a mission to change lives and a solid exit strategy.

Colleges Were Already Bracing for an ‘Enrollment Cliff.’ Now There Might Be a Second One. — from chronicle.com by Dan Bauman; via GSV

[In addition to the decline of high school graduates starting in 2025] In recent months, however, the Census has updated its forecasts — instead of rebounding at some point in the mid-2030s, the number of 18-year-olds is now projected to contract after cresting at around 4.2 million people in 2033, shrinking to around 3.8 million by 2039. After that, the Bureau doesn’t anticipate the population of 18-year-olds will exceed 4 million people in any year this century.


How this Vietnam vet started a college program at a desert prison — from opencampusmedia.org; an essay by James “Sneaky” White as told to Charlotte West.

James “Sneaky” White, 80, spent nearly four decades incarcerated in California. His nickname “Sneaky” comes from his days as a helicopter pilot during the Vietnam War. While he was incarcerated, he helped create a college program that has since graduated more than 1,500 men. In this “as told to” story, he shares how he started a college program for veterans at a desert prison.


Virtual Forum – On Demand
Starting a Program for Incarcerated Students — from chronicle.com by Charles B. Adams, Ruth Delaney, and Laura Massa; via Goldie Blumenstyk

Does your institution have programming in place for incarcerated students? Thanks to new federal assistance, students in many prisons can now take college courses for credit. While colleges are interested in starting or expanding programs to serve those students, they often have no idea how to do so.


 

Digital Learning Pulse Survey Reveals Higher-Ed Unprepared for Expected Impact of AI — from prnewswire.com by Cengage
Research illustrates that while GenAI could ease ongoing challenges in education, just 1 in 5 say their school is ready

WASHINGTONFeb. 6, 2024 /PRNewswire/ — While three-quarters of higher-education trustees (83%), faculty (81%) and administrators (76%) agree that generative artificial intelligence (GenAI) will noticeably change their institutions in the next five years, community college trustees are more optimistic than their community college counterparts, with (37%) saying their organization is prepared for the change coming compared to just 16% of faculty and 11% of administrator respondents.

Those findings are from the 2023-2024 Digital Learning Pulse Survey conducted by Cengage and Bay View Analytics with support from the Association of Community College Trustees (ACCT), the Association of College and University Educators (ACUE), College Pulse and the United States Distance Learning Association (USDLA) to understand the attitudes and concerns of higher education instructors and leadership.

From DSC:
It takes time to understand what a given technology brings to the table…let alone a slew of emerging technologies under the artificial intelligence (AI) umbrella. It’s hard enough when the technology is fairly well established and not changing all the time. But its extremely difficult when significant change occurs almost daily. 

The limited staff within the teaching & learning centers out there need time to research and learn about the relevant technologies and how to apply those techs to instructional design. The already stretched thin faculty members need time to learn about those techs as well — and if and how they want to apply them. It takes time and research and effort.

Provosts, deans, presidents, and such need time to learn things as well.

Bottom line: We need to have realistic expectations here.


AI Adoption in Corporate L&D — from drphilippahardman.substack.com by Dr. Philippa Hardman
Where we are, and the importance of use cases in enabling change

At the end of last year, O’Reilly Media published a comprehensive report on the adoption and impact of generative AI within enterprises.

The headline of the report is that we’ve never seen a technology adopted in enterprise as fast as generative AI. As of November 2023, two-thirds (67%) of survey respondents reported that their companies are using generative AI.

However, the vast majority of AI adopters in enterprise are still in the early stages; they’re experimenting at the edges, rather than making larger-scale, strategic decisions on how to leverage AI to accelerate our progress towards org goals and visions.

The single biggest hurdle to AI adoption in large corporates is a lack of appropriate use cases.

 

Conversational & Experiential: The New Duality of Learning — from learningguild.com by Markus Bernhardt

Excerpt (emphasis DSC):

The future of corporate learning and development (L&D) is being profoundly reshaped by the progress we are witnessing in artificial intelligence (AI). The increasing availability of new technologies and tools is causing L&D leaders and their teams to rethink their strategy and processes, and even their team structure. The resulting shift, already gaining momentum, will soon move us toward a future where learning experiences are deeply personal, interactive, and contextually rich.

The technological advancements at the forefront of this revolution:

  • Allow us to create high-quality content faster and at a fraction of the cost previously experienced.
  • Provide us with a range of new modalities of delivery, such as chat interfaces, as well as immersive and experiential simulations and games.
  • Enable us to transform learning and training more and more into a journey uniquely tailored to each individual’s learning path, strengths, weaknesses, and confidence levels.

We are already seeing signs of the immediate future—one where AI will adapt not only content but the entire learner experience, on-the-fly and aligned with the needs and requirements of the learner at a specific moment of need.


Harnessing AI in L&D: Reviewing 2023 & Imagining the Future — from learningguild.com by Juan Naranjo

Excerpt (emphasis DSC):

AI-assisted design & development work: A dramatic shift
This prediction was right. There has been a seismic shift in instructional design, and the role is evolving toward content curation, editing, and resource orchestration. Critical thinking skills are becoming more important than ever to make sure that the final learning asset is accurate. All of this is happening thanks to AI tools like:

  • Adobe Firefly…
  • ChatGPT…
  • Another tool, one that isn’t usually part of the L&D ecosystem, is Microsoft’s Azure AI Services…

Early estimates indicate these improvements save between 30 percent and 60 percent of development time.

As a reminder, meta-learning, in this context, refers to tools that serve up experiences to learners based on their preferences, needs, and goals. It is the superstructure behind the content assets (e.g., programs, courses, articles, videos, etc.) that assembles everything into a coherent, and purposeful, body of knowledge for the users.

 

Augment teaching with AI – this teacher has it sussed… — from donaldclarkplanb.blogspot.com by Donald Clark

Emphasis (emphasis DSC):

You’re a teacher who wants to integrate AI into your teaching. What do you do? I often get asked how should I start with AI in my school or University. This, I think, is one answer.

Continuity with teaching
One school has got this exactly right in my opinion. Meredith Joy Morris has implemented ChatGPT into the teaching process. The teacher does their thing and the chatbot picks up where the teacher stops, augmenting and scaling the teaching and learning process, passing the baton to the learners who carry on. This gives the learner a more personalised experience, encouraging independent learning by using the undoubted engagement that 1:1 dialogue provides.

There’s no way any teacher can provide this carry on support with even a handful of students, never mind a class of 30 or a course with 100. Teaching here is ‘extended’ and ‘scaled’ by AI. The feedback from the students was extremely positive.


Reflections on Teaching in the AI Age — from by Jeffrey Watson

The transition which AI forces me to make is no longer to evaluate writings, but to evaluate writers. I am accustomed to grading essays impersonally with an objective rubric, treating the text as distinct from the author and commenting only on the features of the text. I need to transition to evaluating students a bit more holistically, as philosophers – to follow along with them in the early stages of the writing process, to ask them to present their ideas orally in conversation or in front of their peers, to push them to develop the intellectual virtues that they will need if they are not going to be mastered by the algorithms seeking to manipulate them. That’s the sort of development I’ve meant to encourage all along, not paragraph construction and citation formatting. If my grading practices incentivize outsourcing to a machine intelligence, I need to change my grading practices.


4 AI Imperatives for Higher Education in 2024 — from campustechnology.com by Rhea Kelly

[Bryan Alexander] There’s a crying need for faculty and staff professional development about generative AI. The topic is complicated and fast moving. Already the people I know who are seriously offering such support are massively overscheduled. Digital materials are popular. Books are lagging but will gradually surface. I hope we see more academics lead more professional development offerings.

For an academic institution to take emerging AI seriously it might have to set up a new body. Present organizational nodes are not necessarily a good fit.


A Technologist Spent Years Building an AI Chatbot Tutor. He Decided It Can’t Be Done. — from edsurge.com by Jeffrey R. Young
Is there a better metaphor than ‘tutor’ for what generative AI can do to help students and teachers?

When Satya Nitta worked at IBM, he and a team of colleagues took on a bold assignment: Use the latest in artificial intelligence to build a new kind of personal digital tutor.

This was before ChatGPT existed, and fewer people were talking about the wonders of AI. But Nitta was working with what was perhaps the highest-profile AI system at the time, IBM’s Watson. That AI tool had pulled off some big wins, including beating humans on the Jeopardy quiz show in 2011.

Nitta says he was optimistic that Watson could power a generalized tutor, but he knew the task would be extremely difficult. “I remember telling IBM top brass that this is going to be a 25-year journey,” he recently told EdSurge.


Teachers stan AI in education–but need more support — from eschoolnews.com by Laura Ascione

What are the advantages of AI in education?
Canva’s study found 78 percent of teachers are interested in using AI education tools, but their experience with the technology remains limited, with 93 percent indicating they know “a little” or “nothing” about it – though this lack of experience hasn’t stopped teachers quickly discovering and considering its benefits:

  • 60 percent of teachers agree it has given them ideas to boost student productivity
  • 59 percent of teachers agree it has cultivated more ways for their students to be creative
  • 56 percent of teachers agree it has made their lives easier

When looking at the ways teachers are already using generative artificial intelligence, the most common uses were:

  • Creating teaching materials (43 percent)
  • Collaborative creativity/co-creation (39 percent)
  • Translating text (36 percent)
  • Brainstorming and generating ideas (35 percent)

The next grand challenge for AI — from ted.com by Jim Fan


The State of Washington Embraces AI for Public Schools — from synthedia.substack.com by Bret Kinsella; via Tom Barrett
Educational institutions may be warming up to generative AI

Washington state issued new guidelines for K-12 public schools last week based on the principle of “embracing a human-centered approach to AI,” which also embraces the use of AI in the education process. The state’s Superintendent of Public Instruction, Chris Reykdal, commented in a letter accompanying the new guidelines:


New education features to help teachers save time and support students — from by Shantanu Sinha

Giving educators time back to invest in themselves and their students
Boost productivity and creativity with Duet AI: Educators can get fresh ideas and save time using generative AI across Workspace apps. With Duet AI, they can get help drafting lesson plans in Docs, creating images in Slides, building project plans in Sheets and more — all with control over their data.

 

From DSC:
How does this sentence hit you? I read it in a fictional book recently and it gave me pause.

…we don’t have a justice system in this country. We have a legal system.


Innovative New Project Launches to Increase Access to Justice for the Overlooked Middle Class — from iaals.du.edu by Kelsey Montague

An important addition to the national access to justice landscape, the Above the Line Network (ATLN) has launched today to tackle the daunting challenges that middle-class Americans face when seeking legal help that doesn’t break the bank. While most organized access to justice efforts rightly focus on low-income and poor people who are especially vulnerable, we can never achieve our nation’s ideal of equal justice for all when middle-class people—who make up more than 50% of the nation’s population— and small businesses struggle to find quality, affordable legal services. They are “above the line” of income eligibility for the free legal aid reserved for the poorest Americans, but they also struggle to find quality and affordable legal services in the current legal market.


Top legal tech trends for businesses to watch in 2024 — from verdict.co.uk by

  • Data protection: a new regulator, more reforms and continued enforcement
  • Online reforms and increased regulation

2024 in-house legal outlook series: GCs, CLOs ready for hard decisions — from legaldive.com by Lyle Moran and Robert Freedman
Legal leaders look at practical generative AI use cases and get tough on outside counsel spend, among other priorities this year.

General counsel and chief legal officers will do more work in-house with the help of tech investments, especially as more legal tech companies add generative AI and other types of artificial intelligence capabilities to the tools they offer in-house teams. At the same time, legal leaders will be exploring ways to reduce outside counsel costs, in part by giving work to smaller firms and reserving the most complex work for the largest firms.


Politico Launches AI-generated Bill Summaries Available to Politico Pro Subscribers — from politico.com by Melissa Cooke; via The Neuron

ARLINGTON, Va. – POLITICO, today announced the launch of a new, innovative feature allowing POLITICO Pro users to quickly review an AI-generated summary of Federal bills, rapidly accessing critical legislative context while benefiting from the in-depth analysis and insights that subscribers rely upon. POLITICO Pro is the leading subscription policy intelligence platform.


Legaltech is revolutionizing the way lawyers work — from verdict.co.uk by
Legaltech focuses on increasing work efficiency by addressing important but low-value or high-volume work to provide more time for lawyers to work on tasks requiring a higher skill set.

For example, in February 2023, Allen & Overy launched its generative AI platform, integrating Harvey (based on GPT-4 technology by OpenAI), into its global practice to help its lawyers with drafting legal documentation. In December 2023, Allen & Overy also created an AI contract negotiation tool, ContractMatrix, in partnership with Harvey. The firm estimates that the tool saves around seven hours when negotiating a contract. When discussing these innovations, David Wakeling, Head of the Markets Innovation Group at Allen & Overy explained that the firm’s goal was to “disrupt the legal market before someone disrupts us.”


 

 

The Future of Generative AI in Architecture, Design, and Engineering — from aiadvisoryboards.wordpress.com; report referenced was prepared by Greg Lindsay & Anthony Townsend

The key findings of the report “The Future of Generative AI in Architecture, Design, and Engineering” include:

  1. Generative AI (GAI) has the potential to disrupt fields such as architecture, design, and engineering by enabling users to quickly generate digital content in response to prompts.
  2. GAI, represented by large language models like GPT-4, has shown remarkable capabilities in natural language processing, machine translation, and content generation.
  3. GAI’s ability to produce thoughtful content and analysis at almost zero marginal cost is causing significant impact in global politics, industry, and culture.
  4. The architecture, engineering, and construction (AEC) industry is already experiencing the effects of GAI, with concerns about job displacement and the use of AI-generated avatars.
  5. GAI is compute-bound, leading to a high demand for computing power, particularly GPUs. However, emerging trends suggest that future developments will establish a
 

Enter the New Era of Mobile AI With Samsung Galaxy S24 Series — from news.samsung.com

Galaxy AI introduces meaningful intelligence aimed at enhancing every part of life, especially the phone’s most fundamental role: communication. When you need to defy language barriers, Galaxy S24 makes it easier than ever. Chat with another student or colleague from abroad. Book a reservation while on vacation in another country. It’s all possible with Live Translate,2 two-way, real-time voice and text translations of phone calls within the native app. No third-party apps are required, and on-device AI keeps conversations completely private.

With Interpreter, live conversations can be instantly translated on a split-screen view so people standing opposite each other can read a text transcription of what the other person has said. It even works without cellular data or Wi-Fi.


Galaxy S24 — from theneurondaily.com by Noah Edelman & Pete Huang

Samsung just announced the first truly AI-powered smartphone: the Galaxy S24.


For us AI power users, the features aren’t exactly new, but it’s the first time we’ve seen them packaged up into a smartphone (Siri doesn’t count, sorry).


Samsung’s Galaxy S24 line arrives with camera improvements and generative AI tricks — from techcrunch.com by Brian Heater
Starting at $800, the new flagships offer brighter screens and a slew of new photo-editing tools

 

Introducing the GPT Store

Introducing the GPT Store — from OpenAI
We’re launching the GPT Store to help you find useful and popular custom versions of ChatGPT.

It’s been two months since we announced GPTs, and users have already created over 3 million custom versions of ChatGPT. Many builders have shared their GPTs for others to use. Today, we’re starting to roll out the GPT Store to ChatGPT Plus, Team and Enterprise users so you can find useful and popular GPTs. Visit chat.openai.com/gpts to explore.



Introducing ChatGPT Team — from openai.com
We’re launching a new ChatGPT plan for teams of all sizes, which provides a secure, collaborative workspace to get the most out of ChatGPT at work.

ChatGPT Team offers access to our advanced models like GPT-4 and DALL·E 3, and tools like Advanced Data Analysis. It additionally includes a dedicated collaborative workspace for your team and admin tools for team management. As with ChatGPT Enterprise, you own and control your business data—we do not train on your business data or conversations, and our models don’t learn from your usage. More details on our data privacy practices can be found on our privacy page and Trust Portal.


GPT Store — from theneurondaily.com by Noah Edelman & Pete Huang

The App Store for ChatGPTs is here.

OpenAI finally launched its GPT Store—a hub offering access to over 3 million GPTs, for paid users (#sorrynotsorry).
If you missed pt. 1, pt. 2, and pt. 3 of our GPTs analysis, here’s the TLDR: GPTs are customized versions of ChatGPT pre-loaded with prompts or context, each designed to be good at specific tasks.

There’s a GPT for everything, like one for lesson plans, one that crunches numbers, and one that recommends books you’ll buy but never read.

The GPT Store is a game-changer.


OpenAI Just Released The GPT Store. Here’s How To Use It And Make Money With Your GPT — from artificialcorner.com by The Pycoach
Learn how to publish your GPT to the store and monetize it.

How to stand out on the GPT Store
The low barrier to entry for making GPTs will make earning money on the GPT store difficult. Not everyone will make tons of money off their GPT, but I think those with more chances of success will:

  • Use custom actions: This is a feature that allows your GPT to connect to an API. Connecting to APIs gives your GPT new functionalities that others won’t be able to replicate unless they have access to the API (here you can see my tutorial on how to add custom action to your GPT)
  • Use knowledge: Knowledge is a feature that allows you to add files to your GPT. Adding exclusive information could enrich your GPT and help it stand out from the pack. Just remember that files can be downloaded when the code interpreter is enabled.

OpenAI releases the app store of AI — from superhuman.ai by Zain Kahn

App stores are ginormous businesses. According to CNBC’s estimates, Apple’s App Store grossed north of $70 Billion in 2022. That’s more revenue than Spotify, Shopify and Airbnb generated in the same year — combined.

When you look at the size of the opportunity that app stores built on top of popular platforms unlock, OpenAI’s latest move to launch a GPT Store is another bold bet by the startup that’s already leading the LLM and chatbot markets with GPT-4 and ChatGPT.

Announced [on 1/10/24], the GPT Store is a place for ChatGPT users to find custom versions of the chatbot that are designed for specific use cases.

 

Your classmate could be an AI student at this Michigan university  — from mlive.com by Melissa Frick

BIG RAPIDS, MI – A Michigan university is believed to be the first in the country to use artificial intelligence (AI) to create virtual students that will enroll in classes and participate in lessons and assignments.

Ferris State University, which has one of just three undergraduate AI programs in the U.S., has developed two AI students who are enrolling at Ferris State as freshmen this semester and taking classes alongside human classmates.

At first, Ann and Fry will only be able to observe the class, but the goal is for the AI students to soon be able to speak during classroom discussions and have two-way conversations with their classmates, Thompson said.

Also relevant, see:

These two new Ferris State students are actually AI

These two new Ferris State students are actually AI — from woodtv.com by Demetrios Sanders

BIG RAPIDS, Mich. (WOOD) — As Ferris State University gets ready for its spring semester, two virtual students will begin classes as part of a new artificial intelligence experiment.

Ferris State University offers one of three AI undergraduate programs in the entire country.

“We are leaders in the artificial intelligence area, and why not put us to the test?” said Dr. Kasey Thompson, special assistant to the president for innovation and entrepreneurship at Ferris State.

University enrolling AI-powered “Students” who will turn in assignments, participate in class discussions — from futurism.com
Even students aren’t safe from AI.

Students at Ferris State University in Michigan will soon be sharing the classroom with AI-powered freshman “students” who will enroll in classes alongside them, MLive reports.

And no, they won’t have humanoid robot bodies — they’ll be interacting with students via computers, microphones, and speakers.

In an experiment led by associate professor Kasey Thompson, AI students dubbed Ann and Fry will be listening — or scanning through? — lectures, work on assignments, and even actively participate in discussions with other students, per the report.


AI & “Un-Personalised” Learning — from drphilippahardman.substack.com by Dr. Philippa Hardman
Exploring the full potential of AI to improve human learning, beyond the 1:1 AI tutor

In this week’s blog post we will look at AI from a different angle and ask: what are the pros and cons of using AI for personalisation? And what’s the potential impact of using AI to optimise and scale more connected, communal learning experiences?

TL;DR: while personalised learning has some benefits for some learner outcomes, the social interaction and connected aspects of communal learning are proven to offer similar academic benefits, as well as additional socio-cultural benefits for a broader range of students.

AI for “Un-Personalised” Learning
The next question is, of course: how could we use AI to scale the positive outcomes of “un-personalised”, communal learning?

Here are some initial ideas:


How to make the most of ChatGPT in 2024 — from wondertools.substack.com by Jeremy Caplan
A Wonder Tools guide


N.Y. Governor Hochul Proposes $400 Million To Launch University AI Consortium — from forbes-com.cdn.ampproject.org by Michael T. Nietzel

New York Governor Kathy Hochul wants to make New York the nation’s leader in artificial intelligence research and development. As part of her State of the State address on Tuesday, Hochul proposed the creation of Empire AI – a consortium of the state’s research universities and other institutions that would form an artificial intelligence computing center in upstate New York.

Empire AI would include seven founding institutions—Columbia University, Cornell University, New York University, Rensselaer Polytechnic Institute, the State University of New York (SUNY), the City University of New York (CUNY), and the Simons Foundation.


North Carolina AI Education Guidance Release — from stefanbauschard.substack.com by Stefan Bauschard
“A” grade in my mind; it just needs to anticipate the near future a bit more

TLDR
The Guidance

*North Carolina has arguably issued the best AI guidance to date (IMHO), and I explain why below (my highlighted version is here). This is in no way a knock on the other guidance reports, as I think they offer a lot them of very important and essential guidance. I just really like how NC packages it and the emphasis they put on certain things.

 

CES 2024: Unveiling The Future Of Legal Through Consumer Innovations — from abovethelaw.com by Stephen Embry
The ripple effects on the legal industry are real.

The Emerging Role of Smart TVs
Boothe and Comiskey claim that our TVs will become even smarter and better connected to the web and the internet. Our TVs will become an intelligent center for a variety of applications powered through our smartphone. TVs will be able to direct things like appliances and security cameras. Perhaps even more importantly, our TVs can become e-commerce centers, allowing us to speak with them and conduct business.

This increased TV capability means that the TV could become a more dominant mode of working and computing for lawyers. As TVs become more integrated with the internet and capable of functioning as communication hubs, they could potentially replace traditional computing devices in legal settings. With features like voice control and pattern recognition, TVs could serve as efficient tools for such things as document preparation and client meetings.

From DSC:
Now imagine the power of voice-enabled chatbots and the like. We could be videoconferencing (or holograming) with clients, and be able to access information at the same time. Language translation — like that in the Timekettle product — will be built in.

I also wonder how this type of functionality will play out in lifelong learning from our living rooms.

Learning from the Living AI-Based Class Room

 


Also, some other legaltech-related items:


Are Tomorrow’s Lawyers Prepared for Legal’s Tech Future? 4 Recent Trends Shaping Legal Education | Legaltech News — from law.com (behind paywall)

Legal Tech Predictions for 2024: Embracing a New Era of Innovation — from jdsupra.com

As we step into 2024, the legal industry continues to be reshaped by technological advancements. This year promises to bring new developments that could revolutionize how legal professionals work and interact with clients. Here are key predictions for legal tech in 2024:

Miss the Legaltech Week 2023 Year-in-Review Show? Here’s the Recording — from lawnext.com by Bob Ambrogi

Last Friday was Legaltech Week’s year-end show, in which our panel of journalists and bloggers picked the year’s top stories in legal tech and innovation.

So what were the top stories? Well, if you missed it, no worries. Here’s the video:

 
© 2024 | Daniel Christian