tools - Learning Ecosystems

This AR Art App Helps You Paint Giant Mural [Melnick] + AR-Powered Flashcards Offer A Fresh Spin On Learning [Melnick]

On 03/18/2023, in 21st century, A/V -- audio/visual, art, assistive technologies, Augmented Reality (AR), creativity, education technology, memory, productivity / tips and tricks, special needs, tools, by Daniel Christian

This AR Art App Helps You Paint Giant Murals — from vrscout.com by Kyle Melnick

Here’s another interesting item along the lines of emerging technologies:

AR-Powered Flashcards Offer A Fresh Spin On Learning — from vrscout.com by Kyle Melnick

Excerpt:

Each SmartCard features a special marker that, when scanned with a tablet, unlocks informative virtual content students can interact with using basic hand gestures and buttons. According to its developers, Justin Nappi and Sudiksha Mallick, SmartCards can be especially useful for neurodivergent students, including those with attention-deficit/hyperactivity disorder (ADHD), autism, or dyslexia.

“Introducing Microsoft 365 Copilot” + “A new era for AI and Google Workspace”

On 03/18/2023, in 24x7x365 access, cloud-based computing / apps / other cloud-related, content development, aggregation, repositories, emerging technologies, experimentation, Google, Microsoft, productivity / tips and tricks, tools, usability, user experience (UX), vendors, writing, by Daniel Christian

Copilot — A whole new way to work — from news.microsoft.com

Copilot in Word writes, edits, summarizes and creates right alongside people as they work.
Copilot in PowerPoint enables the creation process by turning ideas into a designed presentation through natural language commands.
Copilot in Excel helps unlock insights, identify trends or create professional-looking data visualizations in a fraction of the time.
Copilot in Outlook can help synthesize and manage the inbox to allow more time to be spent on actually communicating.
Copilot in Teams makes meetings more productive with real-time summaries and action items directly in the context of the conversation.
Copilot in Power Platform will help developers of all skill levels accelerate and streamline development with low-code tools with the introduction of two new capabilities within Power Apps and Power Virtual Agents.
Business Chat brings together data from across documents, presentations, email, calendar, notes and contacts to help summarize chats, write emails, find key dates or even write a plan based on other project files.

Introducing Microsoft 365 Copilot – your copilot for work — from blogs.microsoft.com by Jared Spataro

“Today marks the next major step in the evolution of how we interact with computing, which will fundamentally change the way we work and unlock a new wave of productivity growth,” said Satya Nadella, Chairman and CEO, Microsoft. “With our new copilot for work, we’re giving people more agency and making technology more accessible through the most universal interface — natural language.”

Introducing Microsoft 365 Copilot — A whole new way to work — from microsoft.com by Colette Stallbaumer

Excerpt:

Copilot is integrated into Microsoft 365 in two ways. It works alongside you, embedded in the Microsoft 365 apps you use every day—Word, Excel, PowerPoint, Outlook, Teams, and more—to unleash creativity, unlock productivity, and uplevel skills. Today, we’re also announcing an entirely new experience: Business Chat. Business Chat works across the LLM, the Microsoft 365 apps, and your data—your calendar, emails, chats, documents, meetings, and contacts—to do things you’ve never been able to do before. You can give it natural language prompts like “tell my team how we updated the product strategy” and it will generate a status update based on the morning’s meetings, emails, and chat threads.

A new era for AI and Google Workspace — from workspace.google.com by Johanna Voolich Wright

Excerpt:

As we embark on this next journey, we will be bringing these new generative-AI experiences to trusted testers on a rolling basis throughout the year, before making them available publicly.

With these features, you’ll be able to:

draft, reply, summarize, and prioritize your Gmail
brainstorm, proofread, write, and rewrite in Docs
bring your creative vision to life with auto-generated images, audio, and video in Slides
go from raw data to insights and analysis via auto-completion, formula generation, and
contextual categorization in Sheets
generate new backgrounds and capture notes in Meet
enable workflows for getting things done in Chat

Here’s a look at the first set of AI-powered features, which make writing even easier.

??Well this is something else.

GPT-4 passes basically every exam. And doesn’t just pass…
The Bar Exam: 90%
LSAT: 88%
GRE Quantitative: 80%, Verbal: 99%
Every AP, the SAT… pic.twitter.com/zQW3k6uM6Z

— Ethan Mollick (@emollick) March 14, 2023

Description of video:

Sal Khan walks through Khan Academy’s GPT-4 integration (not generally available yet). Folks can join the waitlist at Khanacademy.org. To learn more about Khanmigo, visit: khanacademy.org/khan-labs

We believe that AI has the potential to transform learning in a positive way, but we are also keenly aware of the risks. To test the possibilities, we’re inviting our district partners to opt in to Khan Labs, a new space for testing learning technology. We want to ensure that our work always puts the needs of students and teachers first, and we are focused on ensuring that the benefits of AI are shared equally across society. In addition to teachers and students, we’re inviting the general public to join a waitlist to test Khanmigo. Teachers, students and donors will be our partners on this learning journey, helping us test AI to see if we can harness it as a learning tool for all.

GPT-4 has arrived. It will blow ChatGPT out of the water. — from washingtonpost.com by Drew Harwell and Nitasha Tiku
The long-awaited tool, which can describe images in words, marks a huge leap forward for AI power — and another major shift for ethical norms

Introducing Our Virtual Volunteer Tool for People who are Blind or Have Low Vision, Powered by OpenAI’s GPT-4 — from bemyeyes.com
We are thrilled to announce Be My Eyes Virtual Volunteer™, the first-ever digital visual assistant powered by OpenAI’s new GPT-4 language model.

For example, [GPT-4] passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%.

Source

Here are some incredible things people are already doing with GPT-4

It’s been less than 3.5 hours

? A thread

— Linus (???) (@LinusEkenstam) March 14, 2023

Had my wife close her eyes and describe rooms in her dream home.

In 3 minutes, I made these on Midjourney (h/t @nickfloats)

She was speechless.

She’s now a huge fan of AI and “gets it”

This is the way. pic.twitter.com/sjf3CQYtwa

— Kallaway (@kanekallaway) March 6, 2023

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

On 03/14/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, digital learning, education technology, emerging technologies, experimentation, faculty, 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?

Fostering sustainable learning ecosystems [Blessinger]

On 03/13/2023, in 21st century, Africa, Asia, Australia, Canada, change, collaboration, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, culture, curriculum, education, education technology, Europe, formal learning, future, future of higher education, game-changing environment, global / globalization, Google, higher education, ideas, informal learning, instructional design, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, legislatures / government / legal, lifelong learning, MOOCs -- Massive Open Online Courses, more voice more choice more control, platforms, policy, society, strategy, technology (general), tools, training / L&D, UK, United States, vision/possibilities, youth, by Daniel Christian

Fostering sustainable learning ecosystems — from linkedin.com by Patrick Blessinger

Excerpt (emphasis DSC):

Learning ecosystems
As today’s global knowledge society becomes increasingly interconnected and begins to morph into a global learning society, it is likely that formal, nonformal, and informal learning will become increasingly interconnected. For instance, there has been an explosion of new self-directed e-learning platforms such as Khan Academy, Open Courseware, and YouTube, among others, that help educate billions of people around the world.

A learning ecosystem includes all the elements that contribute to a learner’s overall learning experience. The components of a learning ecosystem are numerous, including people, technology platforms, knowledge bases, culture, governance, strategy, and other internal and external elements that have an impact on learning. Therefore, moving forward, it is crucial to integrate learning across formal, nonformal, and informal learning processes and activities in a more strategic way.

Working To Incorporate Legal Technology Into Your Practice Isn’t Just A Great Business Move – It’s Required [Williams]

On 03/11/2023, in 21st century, Bias | Diversity Equity & Inclusion (DE&I), Canada, experimentation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, the downsides of technology, tools, United States, vendors, by Daniel Christian

Working To Incorporate Legal Technology Into Your Practice Isn’t Just A Great Business Move – It’s Required — from abovethelaw.com by Chris Williams

Excerpt:

According to Model Rule 1.1 of the ABA Model Rules of Professional Conduct: “A lawyer shall provide competent representation to a client. Competent representation requires the legal knowledge, skill, thoroughness and preparation reasonably necessary for the representation.”

In 2012, the ABA House of Delegates voted to amend Comment 8 to Model Rule 1.1 to include explicit guidance on lawyers’ use of technology.

If Model Rule 1.1 isn’t enough of a motivator to dip your feet in legal tech, maybe paying off that mortgage is. As an extra bit of motivation, it may benefit you to pin the ABA House of Delegate’s call to action on your motivation board.

Also relevant/see:

While courts still use fax machines, law firms are using AI to tailor arguments for judges — from cbc.ca by Robyn Schleihauf

Excerpt (emphasis DSC):

What is different with AI is the scale by which this knowledge is aggregated. While a lawyer who has been before a judge three or four times may have formed some opinions about them, these opinions are based on anecdotal evidence. AI can read the judge’s entire history of decision-making and spit out an argument based on what it finds.

The common law has always used precedents, but what is being used here is different — it’s figuring out how a judge likes an argument to be framed, what language they like using, and feeding it back to them.

And because the legal system builds on itself — with judges using prior cases to determine how a decision should be made in the case before them — these AI-assisted arguments from lawyers could have the effect of further entrenching a judge’s biases in the case law, as the judge’s words are repeated verbatim in more and more decisions. This is particularly true if judges are unaware of their own biases.

Cutting through the noise: The impact of GPT/large language models (and what it means for legal tech vendors) — from legaltechnology.com by Caroline Hill

Excerpts:

Given that we have spent time over the past few years telling people not to get to overestimate the capability of AI, is this the real deal?

“Yeah, I think it’s the real thing because if you look at why legal technologies have not had the adoption rate historically, language has always been the problem,” Katz said. “Language has been hard for machines historically to work with, and language is core to law. Every road leads to a document, essentially.”
…
Katz says: “There are two types of things here. They would call general models GPT one through four, and then there’s domain models, so a legal specific large language model.
…
“What we’re going to see are large-ish, albeit not the largest model that’s heavily domain tailored is going to beat a general model in the same way that a really smart person can’t beat a super specialist. That’s where the value creation and the next generation of legal technology is going to live.”

Fresh Voices in Legal Tech with Kristen Sonday — from legaltalknetwork.com by Dennis Kennedy and Tom Mighell with Kristen Sonday

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

On 03/11/2023, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, 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.

Love it or hate it, academics can’t ignore the already pervasive technology. [McMurtrie]

On 03/11/2023, in 21st century, 24x7x365 access, adjunct faculty, change, colleges, community colleges, digital learning, disruption, education technology, emerging technologies, experimentation, faculty, future of higher education, game-changing environment, generational differences, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, IT in HE, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, online media, online tutoring, platforms, productivity / tips and tricks, professional development, student-related, teaching & learning, tools, United States, universities, by Daniel Christian

ChatGPT is Everywhere — from chronicle.com by Beth McMurtrie
Love it or hate it, academics can’t ignore the already pervasive technology.

Excerpt:

Many academics see these tools as a danger to authentic learning, fearing that students will take shortcuts to avoid the difficulty of coming up with original ideas, organizing their thoughts, or demonstrating their knowledge. Ask ChatGPT to write a few paragraphs, for example, on how Jean Piaget’s theories on childhood development apply to our age of anxiety and it can do that.

Other professors are enthusiastic, or at least intrigued, by the possibility of incorporating generative AI into academic life. Those same tools can help students — and professors — brainstorm, kick-start an essay, explain a confusing idea, and smooth out awkward first drafts. Equally important, these faculty members argue, is their responsibility to prepare students for a world in which these technologies will be incorporated into everyday life, helping to produce everything from a professional email to a legal contract.

“Artificial-intelligence tools present the greatest creative disruption to learning that we’ve seen in my lifetime.”

Sarah Eaton, associate professor of education at the University of Calgary

6 Tenets of Postplagiarism: Writing in the Age of #ArtificialIntelligence – In my 2021 book, #Plagiarism in #HigherEducation, I introduce the idea of life in the post-plagiarism era. Here I expand on those ideas.https://t.co/DGzelD9phc pic.twitter.com/hHej4e55zq

— Dr. Sarah Elaine Eaton?? (@DrSarahEaton) February 25, 2023

Artificial intelligence and academic integrity, post-plagiarism — from universityworldnews.com Sarah Elaine Eaton; with thanks to Robert Gibson out on LinkedIn for the resource

Excerpt:

The use of artificial intelligence tools does not automatically constitute academic dishonesty. It depends how the tools are used. For example, apps such as ChatGPT can be used to help reluctant writers generate a rough draft that they can then revise and update.

Used in this way, the technology can help students learn. The text can also be used to help students learn the skills of fact-checking and critical thinking, since the outputs from ChatGPT often contain factual errors.

When students use tools or other people to complete homework on their behalf, that is considered a form of academic dishonesty because the students are no longer learning the material themselves. The key point is that it is the students, and not the technology, that is to blame when students choose to have someone – or something – do their homework for them.

There is a difference between using technology to help students learn or to help them cheat. The same technology can be used for both purposes.

From DSC:
These couple of sentences…

In the age of post-plagiarism, humans use artificial intelligence apps to enhance and elevate creative outputs as a normal part of everyday life. We will soon be unable to detect where the human written text ends and where the robot writing begins, as the outputs of both become intertwined and indistinguishable.

…reminded me of what’s been happening within the filmmaking world for years (i.e., such as in Star Wars, Jurrasic Park, and many others). It’s often hard to tell what’s real and what’s been generated by a computer.

‘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 / Machine Learning / Deep Learning / Algorithms, 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?

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

On 03/02/2023, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, 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.

Learning Ecosystems

This AR Art App Helps You Paint Giant Mural [Melnick] + AR-Powered Flashcards Offer A Fresh Spin On Learning [Melnick]

“Introducing Microsoft 365 Copilot” + “A new era for AI and Google Workspace”

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

Working To Incorporate Legal Technology Into Your Practice Isn’t Just A Great Business Move – It’s Required [Williams]

‘ChatGPT Already Outperforms a lot of Junior Lawyers’: An Interview With Richard Susskind [Beveridge] + other legaltech related items

A very powerful, thought-provoking read: “You are not a parrot.” [Weil & Bender]

Several items re: ChatGPT’s potential influence on the future of work, on our learning ecosystems, and on society

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

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