Artificial Intelligence/Agents/LLMs/and Related

ChatGPT as a teaching tool, not a cheating tool [Rose]

On 03/14/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, colleges, digital learning, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, IT in HE, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, pedagogy, personalized/customized learning, platforms, productivity / tips and tricks, professional development, teaching & learning, tools, UK, United States, universities, by Daniel Christian

ChatGPT as a teaching tool, not a cheating tool — from timeshighereducation.com by Jennifer Rose
How to use ChatGPT as a tool to spur students’ inner feedback and thus aid their learning and skills development

Excerpt:

Use ChatGPT to spur student’s inner feedback
One way that ChatGPT answers can be used in class is by asking students to compare what they have written with a ChatGPT answer. This draws on David Nicol’s work on making inner feedback explicit and using comparative judgement. His work demonstrates that in writing down answers to comparative questions students can produce high-quality feedback for themselves which is instant and actionable. Applying this to a ChatGPT answer, the following questions could be used:

Which is better, the ChatGPT response or yours? Why?
What two points can you learn from the ChatGPT response that will help you improve your work?
What can you add from your answer to improve the ChatGPT answer?
How could the assignment question set be improved to allow the student to demonstrate higher-order skills such as critical thinking?
How can you use what you have learned to stay ahead of AI and produce higher-quality work than ChatGPT?

Exploring generative AI and the implications for universities — from universityworldnews.com

Excerpt:

This is part of a weekly University World News special report series on ‘AI and higher education’. The focus is on how universities are engaging with ChatGPT and other generative artificial intelligence tools. The articles from academics and our journalists around the world are exploring developments and university work in AI that have implications for higher education institutions and systems, students and staff, and teaching, learning and research.

5 Ideas To Incorporate AI In Your eLearning Course — from elearningindustry.com by Christopher Pappas

Summary:

Artificial Intelligence is now taking the world of learning by storm. Here are 5 ways you can successfully incorporate AI in online learning.

Let’s say you’re training sales reps on handling different customer personalities. You can use this technology to diversify your branching scenarios so that trainees can also speak and not only type. This way, not only will the training become more realistic, but you’ll also be able to assess and work on additional elements, such as tone of voice, volume, speech tempo, etc.

These 20 jobs are the most “exposed” to AI, ChatGPT, researchers say + other AI-related items

On 03/11/2023, in Africa, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, Canada, career development, change, Europe, global / globalization, India, society, UK, United States, workplace, by Daniel Christian

These 20 jobs are the most “exposed” to AI, ChatGPT, researchers say — from cbsnews-com.cdn.ampproject.org

Excerpt:

New research examining the effects of language modeling AI like ChatGPT on different occupations and industries finds that certain jobs, like telemarketers and teachers, are more “exposed” to the technology than others, such as psychologists and counselors.

Also relevant/see:

Must read: the 100 most cited AI papers in 2022 — from zeta-alpha.com by Sergi Castella i Sapé; with titles, citation counts, and affiliations.

How will Language Modelers like ChatGPT Affect Occupations and Industries? — from papers.ssrn.com by Edward W. Felten, Manav Raj, and Robert Seamans

An inside look at a 5th grade classroom using ChatGPT [abcnews.go.com]

On 03/11/2023, in Artificial Intelligence/Agents/LLMs/and Related, content development, aggregation, repositories, creativity, education, education technology, experimentation, future, human-computer interaction (HCI), ideas, intelligent systems, K-12 related, learning, learning ecosystem, teachers, tools, United States, vendors, by Daniel Christian

An inside look at a 5th grade classroom using ChatGPT — from abcnews.go.com
Kentucky teacher Donnie Piercey uses ChatGPT with his fifth frade students.

Excerpt:

“Like every other educator, I had that concern. Is this something that students are only going to use to cheat? So I started to think about like, ‘OK, what role is AI — artificial intelligence — going to play in the classroom?'” Piercey, the 2021 Kentucky Teacher of the Year, told “Good Morning America.” “And the more that I thought about it, I realized that there’s a lot more good that can come about through AI as opposed to negative things that can come in the classroom.”

The Librarian: Can we prompt ChatGPT to generate reliable references? — from drphilippahardman.substack.com by Dr. Philippa Hardman

Lessons Learned

Always assume that ChatGPT is wrong until you prove otherwise.
Validate everything (and require your students to validate everything too).
Google Scholar is a great tool for validating ChatGPT outputs rapidly.
The prompt works better when you provide a subject area, e.g. visual anthropology, and then a sub-topic, e.g. film making.
Ignore ChatGPT’s links – validate by searching for titles & authors, not URLs.
Use intentional repetition, e.g. of Google Scholar, to focus ChatGPT’s attention.
Be aware: ChatGPT’s outputs end at 2021. You need to fill in the blanks since then.

Did We Just Change Animation Forever? [corridordigital.com]

On 03/07/2023, in animation, Artificial Intelligence/Agents/LLMs/and Related, content development, aggregation, repositories, creativity, digital storytelling, experimentation, graphics, media/film, productivity / tips and tricks, skills, story, storytelling, by Daniel Christian

‘ChatGPT Already Outperforms a lot of Junior Lawyers’: An Interview With Richard Susskind — from law.com by Laura Beveridge
For the last 20 years, the U.K. author and academic has been predicting that technology will revolutionise the legal industry. With the buzz around generative AI, will his hypothesis now be proven true?

Excerpts:

For this generation of lawyers, their mission and legacy ought to be to build the systems that replace our old ways of working, he said. Moreover, Susskind identified new work for lawyers, such as legal process analyst or legal data scientist, emerging from technological advancement.

“These are the people who will be building the systems that will be solving people’s legal problems in the future.

“The question I ask is: imagine when the underpinning large language model is GPT 8.5.”

Blue J Legal co-founder Benjamin Alarie on how AI is powering a new generation of legal tech — from canadianlawyermag.com by Tim Wilbur

Excerpts:

We founded Blue J with the idea that we should be able to bring absolute clarity to the law everywhere and on demand. The name that we give to this idea is the legal singularity. I have a book with assistant professor Abdi Aidid called The Legal Singularity coming out soon on this idea.

The book paints the picture of where we think the law will go in the next several decades. Our intuition was not widely shared when we started the book and Blue J.

Since last November, though, many lawyers and journalists have been able to play with ChatGPT and other large language models. They suddenly understand what we have been excited about for the last eight years.

Neat Trick/Tip to Add To Your Bag! — from iltanet.org by Brian Balistreri

Excerpt:

If you need instant transcription of a Audio File, Word Online now allows you to upload a file, and it will transcribe, mark speaker changes, and provide time marks. You can use video files, just make sure they are small or office will kick you out.

Generative AI Is Coming For the Lawyers — from wired.com by Chris Stoken-Walker
Large law firms are using a tool made by OpenAI to research and write legal documents. What could go wrong?

Excerpts:

The rise of AI and its potential to disrupt the legal industry has been forecast multiple times before. But the rise of the latest wave of generative AI tools, with ChatGPT at its forefront, has those within the industry more convinced than ever.

“I think it is the beginning of a paradigm shift,” says Wakeling. “I think this technology is very suitable for the legal industry.”
…
The technology, which uses large datasets to learn to generate pictures or text that appear natural, could be a good fit for the legal industry, which relies heavily on standardized documents and precedents.

“Legal applications such as contract, conveyancing, or license generation are actually a relatively safe area in which to employ ChatGPT and its cousins,” says Lilian Edwards, professor of law, innovation, and society at Newcastle University. “Automated legal document generation has been a growth area for decades, even in rule-based tech days, because law firms can draw on large amounts of highly standardized templates and precedent banks to scaffold document generation, making the results far more predictable than with most free text outputs.”

But the problems with current generations of generative AI have already started to show.

You are not a parrot — from nymag.com by Elizabeth Weil and Emily M. Bender

Excerpts:

A handful of companies control what PricewaterhouseCoopers called a “$15.7 trillion game changer of an industry.” Those companies employ or finance the work of a huge chunk of the academics who understand how to make LLMs. This leaves few people with the expertise and authority to say, “Wait, why are these companies blurring the distinction between what is human and what’s a language model? Is this what we want?”
…
Bender knows she’s no match for a trillion-dollar game changer slouching to life. But she’s out there trying. Others are trying too. LLMs are tools made by specific people — people who stand to accumulate huge amounts of money and power, people enamored with the idea of the singularity. The project threatens to blow up what is human in a species sense. But it’s not about humility. It’s not about all of us. It’s not about becoming a humble creation among the world’s others. It’s about some of us — let’s be honest — becoming a superspecies. This is the darkness that awaits when we lose a firm boundary around the idea that humans, all of us, are equally worthy as is.

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT [Bayer]

On 03/06/2023, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, assessment, digital learning, education, education technology, emerging technologies, engagement / engaging students, experimentation, game-changing environment, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, more voice more choice more control, participation, personalized/customized learning, platforms, productivity / tips and tricks, story, storytelling, student-related, teachers, teaching & learning, tools, vendors, virtual tutoring, vision/possibilities, by Daniel Christian

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT — from quizlet.com by Lex Bayer

Excerpt:

Modeled on research demonstrating that the most effective form of learning is one-on-one tutoring1, Q-Chat offers students the experience of interacting with a personal AI tutor in an effective and conversational way. Whether they’re learning French vocabulary or Roman History, Q-Chat engages students with adaptive questions based on relevant study materials delivered through a fun chat experience. Pulling from Quizlet’s massive educational content library and using the question-based Socratic method to promote active learning, Q-Chat has the ability to test a student’s knowledge of educational content, ask in-depth questions to get at underlying concepts, test reading comprehension, help students learn a language and encourage students on healthy learning habits.

How ChatGPT is going to change the future of work and our approach to education — from livemint.com

From DSC:
I thought that the article made a good point when it asserted:

The pace of technological advancement is booming aggressively and conversations around ChatGPT snatching away jobs are becoming more and more frequent. The future of work is definitely going to change and that makes it clear that the approach toward education is also demanding a big shift.
…
A report from Dell suggests that 85% of jobs that will be around in 2030 do not exist yet. The fact becomes important as it showcases that the jobs are not going to vanish, they will just change and most of the jobs by 2030 will be new.

The Future of Human Agency — from pewresearch.org by Janna Anderson and Lee Rainie

Excerpt:

Thus the question: What is the future of human agency? Pew Research Center and Elon University’s Imagining the Internet Center asked experts to share their insights on this; 540 technology innovators, developers, business and policy leaders, researchers, academics and activists responded. Specifically, they were asked:

By 2035, will smart machines, bots and systems powered by artificial intelligence be designed to allow humans to easily be in control of most tech-aided decision-making that is relevant to their lives?

The results of this nonscientific canvassing:

- 56% of these experts agreed with the statement that by 2035 smart machines, bots and systems will not be designed to allow humans to easily be in control of most tech-aided decision-making.
- 44% said they agreed with the statement that by 2035 smart machines, bots and systems will be designed to allow humans to easily be in control of most tech-aided decision-making.

What are the things humans really want agency over? When will they be comfortable turning to AI to help them make decisions? And under what circumstances will they be willing to outsource decisions altogether to digital systems?

The next big threat to AI might already be lurking on the web — from zdnet.com by Danny Palmer; via Sam DeBrule
Artificial intelligence experts warn attacks against datasets used to train machine-learning tools are worryingly cheap and could have major consequences.

Excerpts:

Data poisoning occurs when attackers tamper with the training data used to create deep-learning models. This action means it’s possible to affect the decisions that the AI makes in a way that is hard to track.

By secretly altering the source information used to train machine-learning algorithms, data-poisoning attacks have the potential to be extremely powerful because the AI will be learning from incorrect data and could make ‘wrong’ decisions that have significant consequences.

Why AI Won’t Cause Unemployment — from pmarca.substack.com by Marc Andreessen

Excerpt:

Normally I would make the standard arguments against technologically-driven unemployment — see good summaries by Henry Hazlitt (chapter 7) and Frédéric Bastiat (his metaphor directly relevant to AI). And I will come back and make those arguments soon. But I don’t even think the standand arguments are needed, since another problem will block the progress of AI across most of the economy first.

Which is: AI is already illegal for most of the economy, and will be for virtually all of the economy.

How do I know that? Because technology is already illegal in most of the economy, and that is becoming steadily more true over time.

How do I know that? Because:

From DSC:
And for me, it boils down to an inconvenient truth: What’s the state of our hearts and minds?

AI, ChatGPT, Large Language Models (LLMs), and the like are tools. How we use such tools varies upon what’s going on in our hearts and minds. A fork can be used to eat food. It can also be used as a weapon. I don’t mean to be so blunt, but I can’t think of another way to say it right now.

Do we care about one another…really?
Has capitalism gone astray?
Have our hearts, our thinking, and/or our mindsets gone astray?
Do the products we create help or hurt others? It seems like too many times our perspective is, “We will sell whatever they will buy, regardless of its impact on others — as long as it makes us money and gives us the standard of living that we want.” Perhaps we could poll some former executives from Philip Morris on this topic.
Or we will develop this new technology because we can develop this new technology. Who gives a rat’s tail about the ramifications of it?

Meet CoCounsel — “the world’s first AI legal assistant” [casetext]

On 03/02/2023, in 21st century, 24x7x365 access, Access to Justice (A2J), Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, Legal operations, legal reform, legal technologies, legislatures / government / legal, vendors, by Daniel Christian

Meet CoCounsel — “the world’s first AI legal assistant” — from casetext.com

Excerpt:

As we shared in our official press release, we’ve been collaborating with OpenAI to build CoCounsel on their latest, most advanced large language model. It was a natural fit between our two teams. OpenAI, the world leader in generative AI, selected Casetext to create a product powered by its technology that was suitable for professional use by lawyers. Our experience leading legal tech since 2013 and applying large language models to the law for over five years made us an ideal choice.

From DSC:
I look forward to seeing more vendors and products getting into the legaltech space — ones that use AI and other technologies to make significant progress on the access to justice issues that we have here in the United States.

Using AI to help students with advising, registration, and career development [Christian] + several other items related to AI

On 03/02/2023, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, education technology, emerging technologies, entrepreneurship, experimentation, game-changing environment, generational differences, graphics, human-computer interaction (HCI), innovation, instructional design, IT in HE, languages and translation, Learning from the Living [Class] Room, learning spaces, machine-to-machine communications, Natural Language Processing (NLP), smart classrooms, TVs, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

DC: Perhaps we’ll get to a point where AI can help here. (Perhaps we’re already there…?) https://t.co/kRguHmXw42

— Daniel Christian (he/him/his) (@dchristian5) March 1, 2023

Speaking of AI-related items, also see:

OpenAI just released both Whisper and ChatGPT as APIs!

Among the 3 infinity stones to make voice assistants great again, we’ve got 2 on the cloud now.https://t.co/boAP0yOK9p https://t.co/rkWGu5wGbP

— Jim Fan (@DrJimFan) March 1, 2023

OpenAI debuts Whisper API for speech-to-text transcription and translation — from techcrunch.com by Kyle Wiggers

Excerpt:

To coincide with the rollout of the ChatGPT API, OpenAI today launched the Whisper API, a hosted version of the open source Whisper speech-to-text model that the company released in September.

Priced at $0.006 per minute, Whisper is an automatic speech recognition system that OpenAI claims enables “robust” transcription in multiple languages as well as translation from those languages into English. It takes files in a variety of formats, including M4A, MP3, MP4, MPEG, MPGA, WAV and WEBM.

Introducing ChatGPT and Whisper APIs — from openai.com
Developers can now integrate ChatGPT and Whisper models into their apps and products through our API.

Excerpt:

ChatGPT and Whisper models are now available on our API, giving developers access to cutting-edge language (not just chat!) and speech-to-text capabilities.

Love this! Assigning collaborative annotation can help students engage with texts and the writing process and help prevent ChatGPT misuse. We can also invite students to critically annotate ChatGPT outputs. #ChatGPTedu #AItextedu #AIED #socialannotation https://t.co/wh2OkrAvL7

— Anna Mills, amills@mastodon.oeru.org, she/her (@EnglishOER) February 28, 2023

Everything you wanted to know about AI – but were afraid to ask — from theguardian.com by Dan Milmo and Alex Hern
From chatbots to deepfakes, here is the lowdown on the current state of artificial intelligence

Excerpt:

Barely a day goes by without some new story about AI, or artificial intelligence. The excitement about it is palpable – the possibilities, some say, are endless. Fears about it are spreading fast, too.

There can be much assumed knowledge and understanding about AI, which can be bewildering for people who have not followed every twist and turn of the debate.

So, the Guardian’s technology editors, Dan Milmo and Alex Hern, are going back to basics – answering the questions that millions of readers may have been too afraid to ask.

Nvidia CEO: “We’re going to accelerate AI by another million times” — from
In a recent earnings call, the boss of Nvidia Corporation, Jensen Huang, outlined his company’s achievements over the last 10 years and predicted what might be possible in the next decade.

Excerpt:

Fast forward to today, and CEO Jensen Huang is optimistic that the recent momentum in AI can be sustained into at least the next decade. During the company’s latest earnings call, he explained that Nvidia’s GPUs had boosted AI processing by a factor of one million in the last 10 years.

“Moore’s Law, in its best days, would have delivered 100x in a decade. By coming up with new processors, new systems, new interconnects, new frameworks and algorithms and working with data scientists, AI researchers on new models – across that entire span – we’ve made large language model processing a million times faster,” Huang said.

From DSC:
NVIDA is the inventor of the Graphics Processing Unit (GPU), which creates interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more. They are a dominant supplier of artificial intelligence hardware and software.

“The 2022 ABA Legal Technology Survey Report” + other legal related items

On 03/02/2023, in Artificial Intelligence/Agents/LLMs/and Related, blogs / blogging / vlogging, innovation, law schools, Legal operations, legal technologies, legislatures / government / legal, productivity / tips and tricks, tools, by Daniel Christian

How Does Your Firm Stack Up When It Comes To Legal Tech? A Look Through the 2022 ABA Legal Technology Survey Report — from jdsupra.com

Excerpt:

The 2022 ABA Legal Technology Survey Report measures current legal technology trends. How does your firm compare to the rest?

Lawyers are rarely accused of rushing into change, but current legal technology trends show a few glimmers of hope that (slowly but surely) law firms are realizing the significance of incorporating technology into their litigation practice to remain relevant and competitive. The 2022 ABA Legal Technology Survey Report: Vol. 5 – Litigation Technology & E-Discovery reveals that law firms went through a belt-tightening phase in 2020 and 2021 but then made investments in 2022 to improve their litigation offerings.

ChatGPT Writes Our February 2023 FPI Newsletter Blog Post — from .law.upenn.edu by the Future of the Profession Initiative (FPI) at Penn Carey Law

Excerpt:

For our February 2023 FPI Newsletter, we used ChatGPT, the advanced chatbot, to help us write this blog post. Below, our prompts are in bold, with ChatGPT responses following.

Write the introduction to a newsletter focused on the legal implications of ChatGPT. Include implications for legal education, law firms, and clients.

Trends and Highlights from the 2023 Midsize Law Firm Priorities Report — from lawtechnologytoday.org Taylor Young

Excerpt:

Earlier this month, Actionstep released the results of the 2023 Midsize Law Firm Priorities Report, an inaugural survey of legal and administrative staff from midsize US law firms focused on identifying their key priorities, challenges, goals, and opportunities heading into 2023.

Trends and insights that rose to the top…

23 Legal Tech Insights for 2023 — New Report with Input from Industry Experts — from lawtechnologytoday.org Taylor Young

Excerpt:

If you are in legal tech, change is constant. This means staying on top of emerging trends (yes, even beyond the latest ChatGPT craze) is vital — not because you need to sign up for every new, shiny thing, but because you want to harness the advantages technology creates and prepare your organization for the future. That’s why tech-savvy practitioners will soon be heading to the ABA TECHSHOW.

As you head into conference-mode to dig into the latest in legal technology at TECHSHOW, our team thought this is the perfect time to share trends and industry insights to give you some food for thought and areas to investigate at the show.

Last year, we shared 10 legal tech trends driving success in the legal industry. Because what we shared was so well received, we’ve expanded the content with our latest report, 23 Legal Technology Insights for 2023, which includes thoughtful analysis of major trends, comments from industry experts, and tips to help you make the most of the tech in your organization. Here’s a snapshot of some of the key technology trends for 2023.

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