Artificial Intelligence/Agents/LLMs/and Related

From DSC:
A few items re: ChatGPT — with some items pro-chat and other items against the use of ChatGPT (or at least to limit its use).

How About We Put Learning at the Center? — from insidehighered.com by John Warner
The ongoing freak-out about ChatGPT sent me back to considering the fundamentals.

Excerpt:

So, when people express concern that students will use ChatGPT to complete their assignments, I understand the concern, but what I don’t understand is why this concern is so often channeled into discussions about how to police student behavior, rather than using this as an opportunity to exam the kind of work we actually ask students (and faculty) to do around learning.

If ChatGPT can do the things we ask students to do in order to demonstrate learning, it seems possible to me that those things should’ve been questioned a long time ago. It’s why I continue to believe this technology is an opportunity for reinvention, precisely because it is a threat to the status quo.

Top AI conference bans use of ChatGPT and AI language tools to write academic papers — from theverge.com by James Vincent; with thanks to Anna Mills for this resource
AI tools can be used to ‘edit’ and ‘polish’ authors’ work, say the conference organizers, but text ‘produced entirely’ by AI is not allowed. This raises the question: where do you draw the line between editing and writing?

Excerpt:

The International Conference on Machine Learning (ICML) announced the policy earlier this week, stating, “Papers that include text generated from a large-scale language model (LLM) such as ChatGPT are prohibited unless the produced text is presented as a part of the paper’s experimental analysis.” The news sparked widespread discussion on social media, with AI academics and researchers both defending and criticizing the policy. The conference’s organizers responded by publishing a longer statement explaining their thinking. (The ICML responded to requests from The Verge for comment by directing us to this same statement.)

I am protective of my organic writing process, but when it’s time to edit, ChatGPT sometimes helps me notice which sentences aren’t quite put together as they should be. When I ask it why it suggested a revision, it sometimes describes a word choice nuance I hadn’t thought of.

— Anna Mills, amills@mastodon.oeru.org, she/her (@EnglishOER) January 5, 2023

How to… use AI to teach some of the hardest skills — from oneusefulthing.substack.com by Ethan Mollick
When errors, inaccuracies, and inconsistencies are actually very useful

Excerpt:

Instead, I want to discuss the opportunity provided by AI, because it can help us teach in new ways. The very things that make AI scary for educators — its tedency to make up facts, its lack of nuance, and its ability to make excellent student essays — can be used to make education better.

This isn’t for some future theoretical version of AI. You can create assignments, right now, using ChatGPT, that we will help stretch students in knew ways. We wrote a paper with the instructions. You can read it here, but I also want to summarize our suggestions. These are obviously not the only ways to use AI to educate, but they solve some of the hardest problems in education, and you can start experimenting with them right now.

NYC education department blocks ChatGPT on school devices, networks — from ny.chalkbeat.org by Michael Elsen-Rooney

Excerpt:

New York City students and teachers can no longer access ChatGPT — the new artificial intelligence-powered chatbot that generates stunningly cogent and lifelike writing — on education department devices or internet networks, agency officials confirmed Tuesday.

Teachers v ChatGPT: Schools face new challenge in fight against plagiarism — from straitstimes.com by Osmond Chia; with thanks to Stephen Downes for this resource

Excerpt:

SINGAPORE – Teachers in Singapore say they will likely have to move from assignments requiring regurgitation to those that require greater critical thinking, to stay ahead in the fight against plagiarism.

This comes on the back of the rise of ChatGPT, an intelligent chatbot that is able to spin essays and solve mathematical equations in seconds.

ChatGPT Is Not Ready to Teach Geometry (Yet) — from educationnext.org by Paul T. von Hippel
The viral chatbot is often wrong, but never in doubt. Educators need to tread carefully.

Excerpt:

Can ChatGPT provide feedback and answer questions about math in a more tailored and natural way? The answer, for the time being, is no. Although ChatGPT can talk about math superficially, it doesn’t “understand” math with real depth. It cannot correct mathematical misconceptions, it often introduces misconceptions of its own; and it sometimes makes inexplicable mathematical errors that a basic spreadsheet or hand calculator wouldn’t make.

Here, I’ll show you.

Addendum on 1/9/23:

9 ways ChatGPT saves me hours of work every day, and why you’ll never outcompete those who use AI effectively. — from .linkedin.com by Santiago Valdarrama

A list for those who write code:

1. Explaining code…
Improve existing code…
Rewriting code using the correct style…
Rewriting code using idiomatic constructs…
Simplifying code…
Writing test cases…
Exploring alternatives…
Writing documentation…
Tracking down bugs…

Teaching: Will ChatGPT Change the Way You Teach? — from Chronicle.com by Beth McMurtrie

Excerpt:

Want to get involved in the conversation around AI writing tools? Here are a few resources you might find helpful.

Anna Mills has put together several documents:

Elsewhere, a group of professors is compiling examples of how instructors are using text generation technologies in their assignments. The results will be published in an open-access collection. You can find out more about the project on this site, Teaching with Text Generation Technologies.

If you’re rather listen to a discussion, here are a couple of webinars:

Playing with ChatGPT: now I’m scared (a little) — from tonybates.ca by Tony Bates

Excerpt:

Over the holiday season, lots of people play games such as Scrabble, cards or crossword puzzles. I decided to play with ChatGPT by testing it in areas where I consider myself an expert. (For more about ChatGPT, go to Broom, 2022)

I will first of all show you the responses I got from ChatGPT, then I will discuss the results, comparing them to what I wrote about these topics in Teaching in a Digital Age.

Example questions that Tony asked (emphasis DSC):

What is the difference between synchronous and asynchronous learning? Give references.
What are the limitations of teaching chemistry online? Give references
What are the affordances of video in teaching? Give references

AI & digital video: Likely some plusses & minuses ahead of us [Christian]

On 01/04/2023, in 21st century, 24x7x365 access, A/V -- audio/visual, art, Artificial Intelligence/Agents/LLMs/and Related, business, collaboration, communications, computer science, content development, aggregation, repositories, corporate / business world, creativity, Daniel S. Christian, digital audio, digital video, emerging technologies, ethics, experimentation, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, law schools, legislatures / government / legal, media/film, Metaverse, music, new media literacies, platforms, presentations, productivity / tips and tricks, society, storytelling, the downsides of how people use tech, tools, user experience (UX), vendors, videoconferencing, Virtual courts and law firms, vision/possibilities, web-based collaboration, by Daniel Christian

From DSC:
Check out the items below. As with most technologies, there are likely going to be plusses & minuses regarding the use of AI in digital video, communications, arts, and music.

DC: What?!? Wow. I should have seen this coming. I can see positives & negatives here. Virtual meetings could become a bit more creative/fun. But apps could be a bit scarier in some instances, such as with #telelegal.

xpression camera https://t.co/ygM1OUOGxd via @YouTube

— Daniel Christian (he/him/his) (@dchristian5) January 4, 2023

Also see:

Some more experimentation with #stablediffusion Driving video (https://t.co/6xzS1OvVUw) pic.twitter.com/QolpfASg4u

— Carlos E. Perez (@IntuitMachine) January 4, 2023

Also somewhat relevant, see:

GoogleAI just released “Muse”, a text-to-image generation/editing model via Masked Generative Transformers:

– Achieves new SOTA
– Zero-shot, Mask-free editing
– Zero-shot Inpainting/Outpainting
– 900M params

? Paper: https://t.co/dYxscoaSku
?? Project: https://t.co/aIdEQuG8B0 pic.twitter.com/uTbSrlzZYF

— Lior? (@AlphaSignalAI) January 3, 2023

I really hate to be that guy, but AI is going to be transformative as a teacher. ?

I asked AI the following:
“Plan three lessons to explain how volcanoes are formed. Each lesson needs an introductory activity, information input, a student task and a plenary.”

— Stephen Lockyer (@mrlockyer) December 31, 2022

Also relevant/see:

Tome is worth exploring for generating slide decks. https://t.co/XtldA4VwAL

I pasted the Volcano Lesson 1 content in, and it generated eight slides in under a minute. It's very basic, but for bare bones deckbuilding, it's got such potential. https://t.co/F9CEp9jd75 ? 2/3

— Stephen Lockyer (@mrlockyer) January 1, 2023

In 2023, we are going to a huge increase in content creation generated by AI avatars. The use cases the infinite – from demos and tutorials to billboards and even ads.

? Here are 6 companies that are currently defining the future of content creation:

— Bardeen (@bardeenai) December 30, 2022

GPT Takes the Bar Exam — from papers.ssrn.com by Michael James Bommarito and Daniel Martin Katz; with thanks to Gabe Teninbaum for his tweet on this

Excerpt from the Abstract (emphasis DSC):

While our ability to interpret these results is limited by nascent scientific understanding of LLMs and the proprietary nature of GPT, we believe that these results strongly suggest that an LLM will pass the MBE component of the Bar Exam in the near future.

LLM — Large Language Model
MBE — Multistate Bar Examination

What’s next for AI [Heikkilä and Douglas Heaven] + several other items re: AI and the future

On 12/29/2022, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, future, game-changing environment, Google, human-computer interaction (HCI), tools, trends, by Daniel Christian

What’s next for AI — from technologyreview.com by Melissa Heikkilä and Will Douglas Heaven
Get a head start with our four big bets for 2023.

Excerpts:

But take the conversational skills of ChatGPT and mix them up with image manipulation in a single model and you’d get something a lot more general-purpose and powerful. Imagine being able to ask a chatbot what’s in an image, or asking it to generate an image, and have these interactions be part of a conversation so that you can refine the results more naturally than is possible with DALL-E.

10 AI Predictions For 2023 — from forbes.com by Rob Toews

Excerpts (emphasis DSC):

GPT-4 will be released in the next couple months—and yes, it will be a big deal.
We are going to start running out of data to train large language models.
For the first time, some members of the general public will begin using fully driverless cars as their day-to-day mode of transportation.
Midjourney will raise venture capital funding.
Search will change more in 2023 than it has since Google went mainstream in the early 2000s.

AI Trends For 2023: Industry Experts (And ChatGPT AI) Make Their Predictions — from forbes.com by Ganes Kesari

Excerpt:

To understand the top AI trends, I asked industry leaders and academic experts five questions. It’s the age of human-machine collaboration, so what better way to demonstrate this than by asking AI software about the 2023 AI trends it’s excited about? I did that too.
…

1. What do you think was the biggest achievement in the AI space in 2022?
2. What’s the most exciting AI trend that you look forward to materializing in 2023?
3. What’s a fad in this space that you wish would go away next year?
4. To get value from AI, what’s one thing that leaders can start doing today that doesn’t take big effort or money?
5. What’s one thing that leaders should stop doing immediately to realize benefits from AI?

Is A.I. the Future of Test Prep? — from nytimes.com by Craig S. Smith (NOTE: Paywall)

Excerpt:

Riiid is one of a handful of companies that believe that A.I.’s algorithms are perfectly suited to track student performance and give individualized attention.

“Education is a complex field deeply related to cognition, motivation, peer interaction, etc.,” Mr. Jang wrote in an email. “We draw insights from learning science, cognitive biology, data science, and other related areas of research for an iterative experimentation process that is challenging and time consuming — that’s why there are only a few players in the market.”

Artificial intelligence predictions 2023 — from information-age.com by Tim Adler
2023 could be the year that artificial intelligence moves from the fringes into the mainstream, as AI becomes widely adopted by healthcare, travel and banking. Five experts give their predictions

Excerpt:

Worldwide spending on artificial intelligence will hit half a billion dollars this year, according to IDC. Five artificial intelligence experts give Information Age their predictions as to how adoption of AI will accelerate in 2023.

.

The AI explosion is warping our sense of time. Can you believe Stable Diffusion is only 4 months old, and ChatGPT <4 weeks old ?? If you blink, you miss a whole new industry. Here are my TOP 10 AI spotlights, from a breathtaking 2022 in rewind ?: a long thread ? pic.twitter.com/5k8Q6VQ0tD

— Jim Fan (@DrJimFan) December 27, 2022

From DSC:
Check this confluence of emerging technologies out!

Natural language interfaces have truly arrived. Here’s ChatARKit: an open source demo using #chatgpt to create experiences in #arkit. How does it work? Read on. (1/) pic.twitter.com/R2pYKS5RBq

— Bart Trzynadlowski (@BartronPolygon) December 21, 2022

Also see:

The Future of Education Using AR

via @gigadgets_ #AR #AugmentedReality #MR #mixedreality #ai #technology #vr #virtualreality #innovation #edtech #tech #future #medtech #healthtech #education #iot #teacher #classroom #mi #futurism #digitalasset #edutech pic.twitter.com/ZOP0l2kkoR

— Fred Steube (@steube) December 23, 2022

How to spot AI-generated text — from technologyreview.com by Melissa Heikkilä
The internet is increasingly awash with text written by AI software. We need new tools to detect it.

Excerpt:

This sentence was written by an AI—or was it? OpenAI’s new chatbot, ChatGPT, presents us with a problem: How will we know whether what we read online is written by a human or a machine?
…
“If you have enough text, a really easy cue is the word ‘the’ occurs too many times,” says Daphne Ippolito, a senior research scientist at Google Brain, the company’s research unit for deep learning.
…
“A typo in the text is actually a really good indicator that it was human-written,” she adds.

7 Best Tech Developments of 2022 — from /thetechranch.comby

Excerpt:

As we near the end of 2022, it’s a great time to look back at some of the top technologies that have emerged this year. From AI and virtual reality to renewable energy and biotechnology, there have been a number of exciting developments that have the potential to shape the future in a big way. Here are some of the top technologies that have emerged in 2022:

ChatGPT and The Professional’s Guide to Using AI [Miller]

On 12/22/2022, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, change, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, entrepreneurship, experimentation, future, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, lifelong learning, microlearning, online tutoring, productivity / tips and tricks, professional development, society, teachers, teaching & learning, technologies for your home, tools, training / L&D, universities, virtual tutoring, vision/possibilities, writing, by Daniel Christian

ChatGPT and The Professional’s Guide to Using AI — from linkedin.com by Allie K. Miller

Excerpt:

Real Ways Professionals Can Use ChatGPT to Improve Job Performance
Let’s dive into some real examples of how professionals across sales, marketing, product management, project management, recruiting, and teaching can take advantage of this new tool and leverage it for even more impact in their careers.

Teachers and ChatGPT

Help with grading and feedback on student work.
Example prompt: “Tell me every grammar rule that’s been violated in this student’s essay: [paste in essay]”
Create personalized learning materials.
Example prompt: “Help me explain photosynthesis to a 10th grade student in a way similar to sports.”
Generate lesson plans and activities.
Example prompt: “Create an activity for 50 students that revolves around how to learn the different colors of the rainbow.” or “Generate a lesson plan for a high school English class on the theme of identity and self-discovery, suitable for a 45-minute class period.”
Write fake essays several reading levels below your class, then print them out, and have your students review and edit the AI’s work to make it better.
Example prompt: “Generate a 5th grade level short essay about Maya Angelou and her work.”
Providing one-on-one support to students.
Example prompt: “How can I best empower an introverted student in my classroom during reading time?”

From DSC:
I haven’t tried these prompts. Rather I post this because I’m excited about the potential of Artificial Intelligence (AI) to help people teach and to help people to learn.

Looking to 2023 and beyond — various postings/resources re: potential futures

On 12/22/2022, in 5G, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), bots, business, change, cloud-based computing / apps / other cloud-related, corporate / business world, data related items, education, emerging technologies, entrepreneurship, Europe, experimentation, future, game-changing environment, global / globalization, health, innovation, intelligent systems, internet, IT in HE, Metaverse, Mixed Reality (MR), Natural Language Processing (NLP), NVIDIA, robotics, technology (general), telemedicine / telehealth / virtual health, trends, United States, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, voice recognition / voice enabled interfaces, workplace, XR - extended reality, by Daniel Christian

How AI And 5G Could Lead The Next Phase Of The Industrial Revolution — from swisscognitive.ch

Some use cases of the convergence of AI and 5G are:

Metaverse: AI is a key technology that helps bring Metaverse to life and now with the addition of 5G, streaming experiences would become enjoyable and maintaining connectivity without any disruption of external factors like geographical locations would be eliminated.
Digital assistants in the form of chatbots and virtual avatars: Digital assistants today use AI to replicate the human brain and converse with people in human language by understanding intent. With 5G the speed at which the speech is converted to text will improve drastically.
Education: AI and 5G are helping bring education to students’ doorstep through virtual reality and is making this available, efficiently as in real-world classrooms. Solving queries is possible quickly without any restrictions. Betty in Archie Comics attending her classes virtually is a reality due to these technologies.
Healthcare: AI and 5G in healthcare are proliferating an accurate diagnosis of diseases, real-time monitoring, and quick treatment facilities. This has become possible with the right use of data- collection, transmission, and analysis.
Automotive: AI and 5G together is making vehicles smarter and reducing the risk of mishaps on roads by employing various data-powered safety and driving efficiency measures in vehicles.

AI Timelines: What Do Experts in Artificial Intelligence Expect for the Future? — from singularityhub.com by Dr. Max Roser

Excerpt:

What I do take away from these surveys however, is that the majority of AI experts take the prospect of very powerful AI technology seriously. It is not the case that AI researchers dismiss extremely powerful AI as mere fantasy.

The huge majority thinks that in the coming decades there is an even chance that we will see AI technology which will have a transformative impact on our world. While some have long timelines, many think it is possible that we have very little time before these technologies arrive. Across the three surveys more than half think that there is a 50% chance that a human-level AI would be developed before some point in the 2060s, a time well within the lifetime of today’s young people.

Future Of Health: Top Five Digital Health Innovations For 2023 — from forbes.com by Anita Gupta

Excerpts:

Connected Digital Care
AI In Healthcare
Real-World Patient Engagement In Healthcare
Increase Security For Digital And Health Data
Improving Telehealth Services

Looking ahead to 2023: AI, machine learning, RTLS and robotic process automation — from healthcareitnews.com by Bill Siwicki
These advanced technologies will do more to help provider organizations with workflow optimization, staff shortages and the patient experience in the year ahead, one expert predicts.

Three reasons why NLP will go mainstream in healthcare in 2023 — from healthcareitnews.com by Bill Siwicki
A natural language processing expert explains why he feels the technology’s kinks have been ironed out, its ROI has been proven and the timing is right for healthcare to take advantage of information-extraction tools.

13 tech predictions for 2023 — from enterprisersproject.com by Katie Sanders
What can you expect in the world of IT next year? Business and IT leaders share their thoughts

Analysts Predictions About AI In 2023 — from forbes.com by Gil Press

Excerpts:

Automated software development
Automated content and commerce
Enterprise governance, risk, sustainability and security
Consumer interactions and experiences

Top 5 Edge AI Trends to Watch in 2023 — from nvidia.com by Amanda Saunders

Excerpt:

Until now, AI has operated almost exclusively in the cloud. But increasingly diverse streams of data are being generated around the clock from sensors at the edge. These require real-time inference, which is leading more AI deployments to move to edge computing.

For airports, stores, hospitals and more, AI brings advanced efficiency, automation and even cost reduction, which is why edge AI adoption accelerated last year.

In 2023, expect to see a similarly challenging environment, which will drive the following edge AI trends.

Digital transformation: 5 trends to watch in 2023 — from enterprisersproject.com by Ritish Reddy
As enterprises continue to digitally transform, IT leaders must look toward the future. Expect to see these trends in 2023

“NextGen Justice Tech: What regulatory reform could mean for justice tech” [Sonday] + other legal-related items

On 12/22/2022, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, copyright/ownership/NFTs, emerging technologies, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, by Daniel Christian

NextGen Justice Tech: What regulatory reform could mean for justice tech — from thomsonreuters.com Kristen Sonday

Excerpts (emphasis DSC):

One year in, the Utah Supreme Court had approved 30 companies, including those that created initiatives to provide individuals help completing court forms and receiving legal advice via chatbot.
…
The ruling is monumental because it allows legal professionals to provide guidance on completing legal forms that might be applied to other areas of law, including through online tools that can reach exponentially more individuals.

“By ruling in favor of Upsolve, the Southern District of New York… established a new First Amendment right in America: the right for low-income families to receive free, vetted, and accountable legal advice from professionals who aren’t lawyers,” said Rohan Pavuluri, Upsolve’s Co-Founder and CEO.

UChicago Medicine partners with legal aid lawyers to offer legal help to victims of violence — from abajournal.com by Debra Cassens Weiss

Excerpt:

The University of Chicago Medicine is working with Legal Aid Chicago to embed lawyers at the system’s trauma center in Chicago’s Hyde Park neighborhood to help victims of violence.

Legal AI: A Lawyer’s New Best Friend? — from legaltechmonitor.com by Stephen Embry

Excerpt:

The real question AI poses for the legal profession, says Susskind, is to what extent machines can be used to reduce uncertainty posed by problems. The fundamental question, says Susskind, is thus what problems lawyers are currently trying to solve that machines can solve better and quicker. The lawyer’s job in the future will be to focus on what clients really want: outcomes. Machines can’t provide outcomes, only reduce the uncertainty surrounding the potential outcomes, according to Susskind.

What Does Copyright Say about Generative Models? Not much. — from oreilly.com by Mike Loukides

Excerpt:

Ultimately we need both solutions: fixing copyright law to accommodate works used to train AI systems, and developing AI systems that respect the rights of the people who made the works on which their models were trained. One can’t happen without the other.

‘Complicit bias’ and ‘lawfare’ among top new legal terms in 2022 — from abajournal.com by Debra Cassens Weiss

Excerpt:

“Complicit bias” tops a list of new legal terms and expressions in 2022 compiled by law professors and academics who are on a committee for Burton’s Legal Thesaurus.

Law360 has a story on the top new terms and their meanings. According to the story, “complicit bias” refers to “an institution or community’s complicity in sustaining discrimination and harassment.”

Law360 listed 10 top legal terms, including these:

Why 2023 Will Be The Year of AI + My First Music Video — from legallydisrupted.com by Zach Abramowitz
ChatGPT Did Not Write This Song

#ChatGPT is the future of #legaltech https://t.co/CzG5uNWAur #breathless cc @LexionAi

— Zach Abramowitz (@ZachAbramowitz) December 21, 2022

How Skills Are Disrupting Work: The Transformational Power of Fast-Growing, In-Demand Skills — from burningglassinstitute.org by Nik Dawson, Alexandra Martin, Matt Sigelman, Gad Levanon, Stephanie Blochinger, Jennifer Thornton, and Janet Chen
A “State of Skills” Report from the Burning Glass Institute, the Business-Higher Education Forum, and Wiley

On average, 37% of the top 20 skills requested for the average U.S. job have changed since 2016.

Excerpt:
By analyzing hundreds of millions of recent U.S. job postings, the Burning Glass Institute and the Business–Higher Education Forum (BHEF) identified four of the fastest-growing, highest-demand emerging skill sets:

Artificial Intelligence/Machine Learning
Cloud Computing
Product Management
Social Media

These four skill sets serve as a laboratory for understanding what business and education leaders can do to prepare workers and students for skills disruption. To illustrate how programs can help learners and workers acquire essential skills, this report includes profiles of recent innovations from the BHEF network.

The future belongs to those who seek to understand, anticipate, and harness the power of emerging skills, rather than maintain a posture of reaction/response.
…
The prospect of helping all those who are challenged by skill disruption hinges on the readiness of business and higher education to engage in understanding and planning for skill disruption over the long term.

From DSC:
“On average, 37% of the top 20 skills requested for the average U.S. job have changed since 2016.” That’s what I’m talking about when I talk about the exponential pace of change. It’s hard to deal with. Our institutions of education are not used to this pace of change. Our legal system isn’t used to this pace of change. And there are other industries struggling to keep up.

Should the pace of change be an element of our design when we think about using Design Thinking to create a new lifelong learning ecosystem?

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