productivity / tips and tricks

Introducing Perplexity Pages [perplexity.ai]

On 06/03/2024, in faculty, productivity / tips and tricks, research, teachers, tools, vendors, by Daniel Christian

Introducing Perplexity Pages — from perplexity.ai
You’ve used Perplexity to search for answers, explore new topics, and expand your knowledge. Now, it’s time to share what you learned.

Meet Perplexity Pages, your new tool for easily transforming research into visually stunning, comprehensive content. Whether you’re crafting in-depth articles, detailed reports, or informative guides, Pages streamlines the process so you can focus on what matters most: sharing your knowledge with the world.

Seamless creation
Pages lets you effortlessly create, organize, and share information. Search any topic, and instantly receive a well-structured, beautifully formatted article. Publish your work to our growing library of user-generated content and share it directly with your audience with a single click.

A tool for everyone
Pages is designed to empower creators in any field to share knowledge.

Educators: Develop comprehensive study guides for your students, breaking down complex topics into easily digestible content.
Researchers: Create detailed reports on your findings, making your work more accessible to a wider audience.
Hobbyists: Share your passions by creating engaging guides that inspire others to explore new interests.

“Introducing ChatGPT Edu” [OpenAI] + several other items re: AI

On 06/01/2024, in Artificial Intelligence/Agents/LLMs/and Related, bots, cloud-based computing / apps / other cloud-related, colleges, community colleges, data related items, emerging technologies, higher education, human-computer interaction (HCI), platforms, productivity / tips and tricks, tools, United States, universities, vendors, by Daniel Christian

Introducing ChatGPT Edu — from openai.com
An affordable offering for universities to responsibly bring AI to campus.

We’re announcing ChatGPT Edu, a version of ChatGPT built for universities to responsibly deploy AI to students, faculty, researchers, and campus operations. Powered by GPT-4o, ChatGPT Edu can reason across text and vision and use advanced tools such as data analysis. This new offering includes enterprise-level security and controls and is affordable for educational institutions.

We built ChatGPT Edu because we saw the success universities like the University of Oxford, Wharton School of the University of Pennsylvania(opens in a new window), University of Texas at Austin, Arizona State University(opens in a new window), and Columbia University in the City of New York were having with ChatGPT Enterprise.

ChatGPT can help with various tasks across campus, such as providing personalized tutoring for students and reviewing their resumes, helping researchers write grant applications, and assisting faculty with grading and feedback.

Claude can now use tools — from anthropic.com

Excerpt (emphasis DSC):

Tool use, which enables Claude to interact with external tools and APIs, is now generally available across the entire Claude 3 model family on the Anthropic Messages API, Amazon Bedrock, and Google Cloud’s Vertex AI. With tool use, Claude can perform tasks, manipulate data, and provide more dynamic—and accurate—responses.

Define a toolset for Claude and specify your request in natural language. Claude will then select the appropriate tool to fulfill the task and, when appropriate, execute the corresponding action:

Extract structured data from unstructured text…
Convert natural language requests into structured API calls…
Answer questions by searching databases or using web APIs…
Automate simple tasks through software APIs…
Orchestrate multiple fast Claude subagents for granular tasks…

From DSC:
The above posting reminds me of this other posting…as AGENTS are likely going to become much more popular and part of our repertoire:

Forget Chatbots. AI Agents Are the Future — from wired.com by Will Knight
Startups and tech giants are trying to move from chatbots that offer help via text, to AI agents that can get stuff done. Recent demos include an AI coder called Devin and agents that play videogames.

Devin is just the latest, most polished example of a trend I’ve been tracking for a while—the emergence of AI agents that instead of just providing answers or advice about a problem presented by a human can take action to solve it. A few months back I test drove Auto-GPT, an open source program that attempts to do useful chores by taking actions on a person’s computer and on the web. Recently I tested another program called vimGPT to see how the visual skills of new AI models can help these agents browse the web more efficiently.

Looking Back on My AI Blog One Year In: AI Unfolding as Predicted — from stefanbauschard.substack.com Stefan Bauschard

On May 30, 2023, I’ve started blogging about AI, and, so far, I think things have been unfolding as predicted.

Topics included:

AGI
It’s not just another piece of Edtech
AI Literacy
Bot Teachers/tutors
AI Writing Detectors
AI Use in the Classroom is Uncontrollable
…and more

Khan Academy & Microsoft partner to expand access to AI tools

On 05/23/2024, in Artificial Intelligence/Agents/LLMs/and Related, education, education reform, education technology, emerging technologies, K-12 related, learning agents, learning ecosystem, Learning Experience Design, mathematics, Microsoft, platforms, productivity / tips and tricks, teachers, tools, trends, United States, vendors, by Daniel Christian

Khan Academy and Microsoft partner to expand access to AI tools that personalize teaching and help make learning fun — from news.microsoft.com

[On 5/21/24] at Microsoft Build, Microsoft and Khan Academy announced a new partnership that aims to bring these time-saving and lesson-enhancing AI tools to millions of educators. By donating access to Azure AI-optimized infrastructure, Microsoft is enabling Khan Academy to offer all K-12 educators in the U.S. free access to the pilot of Khanmigo for Teachers, which will now be powered by Azure OpenAI Service.

The two companies will also collaborate to explore opportunities to improve AI tools for math tutoring in an affordable, scalable and adaptable way with a new version of Phi-3, a family of small language models (SLMs) developed by Microsoft.

Also see/referenced:

Also relevant/see:

Khan Academy and Microsoft are teaming up to give teachers a free AI assistant — from fastcompany.com by Steven Melendez
AI assistant Khanmigo can help time-strapped teachers come up with lesson ideas and test questions, the companies say.

Khan Academy’s AI assistant, Khanmigo, has earned praise for helping students to understand and practice everything from math to English, but it can also help teachers devise lesson plans, formulate questions about assigned readings, and even generate reading passages appropriate for students at different levels. More than just a chatbot, the software offers specific AI-powered tools for generating quizzes and assignment instructions, drafting lesson plans, and formulating letters of recommendation.
…
Having a virtual teaching assistant is especially valuable in light of recent research from the RAND Corporation that found teachers work longer hours than most working adults, which includes administrative and prep work outside the classroom.

DSC: There are likely to be many more industry-specific AI-based assistants like this.

On 05/22/2024, in Artificial Intelligence/Agents/LLMs/and Related, bots, business, cloud-based computing / apps / other cloud-related, corporate / business world, Daniel S. Christian, emerging technologies, future, game-changing environment, human-computer interaction (HCI), innovation, platforms, productivity / tips and tricks, tools, trends, United States, vendors, by Daniel Christian

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Grasp is the world’s first generative AI platform for finance professionals.

We build domain-specific AI systems that address the complex needs of investment bankers and management consultants.

By automating finance workflows, Grasp dramatically increases employee productivity and satisfaction.

io.google/2024

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How generative AI expands curiosity and understanding with LearnLM — from blog.google
LearnLM is our new family of models fine-tuned for learning, and grounded in educational research to make teaching and learning experiences more active, personal and engaging.

Generative AI is fundamentally changing how we’re approaching learning and education, enabling powerful new ways to support educators and learners. It’s taking curiosity and understanding to the next level — and we’re just at the beginning of how it can help us reimagine learning.

Today we’re introducing LearnLM: our new family of models fine-tuned for learning, based on Gemini.

On YouTube, a conversational AI tool makes it possible to figuratively “raise your hand” while watching academic videos to ask clarifying questions, get helpful explanations or take a quiz on what you’ve been learning. This even works with longer educational videos like lectures or seminars thanks to the Gemini model’s long-context capabilities. These features are already rolling out to select Android users in the U.S.
…
Learn About is a new Labs experience that explores how information can turn into understanding by bringing together high-quality content, learning science and chat experiences. Ask a question and it helps guide you through any topic at your own pace — through pictures, videos, webpages and activities — and you can upload files or notes and ask clarifying questions along the way.

Google I/O 2024: An I/O for a new generation — from blog.google

The Gemini era
A year ago on the I/O stage we first shared our plans for Gemini: a frontier model built to be natively multimodal from the beginning, that could reason across text, images, video, code, and more. It marks a big step in turning any input into any output — an “I/O” for a new generation.

In this story:

Google just announced huge Gemini updates, a Sora competitor, AI agents, and more.

The 12 most impressive announcements at Google I/O:

1. Project Astra: An AI agent that can see AND hear what you do live in real-time.pic.twitter.com/sA2YT80O5G

— Rowan Cheung (@rowancheung) May 15, 2024

Daily Digest: Google I/O 2024 – AI search is here. — from bensbites.beehiiv.com
PLUS: It’s got Agents, Video and more. And, Ilya leaves OpenAI

Google is integrating AI into all of its ecosystem: Search, Workspace, Android, etc. In true Google fashion, many features are “coming later this year”. If they ship and perform like the demos, Google will get a serious upper hand over OpenAI/Microsoft.
All of the AI features across Google products will be powered by Gemini 1.5 Pro. It’s Google’s best model and one of the top models. A new Gemini 1.5 Flash model is also launched, which is faster and much cheaper.
Google has ambitious projects in the pipeline. Those include a real-time voice assistant called Astra, a long-form video generator called Veo, plans for end-to-end agents, virtual AI teammates and more.

Google just casually announced Veo, a new rival to OpenAI’s Sora.

It can generate insanely good 1080p video up to 60 seconds.

9 wild examples:

1)pic.twitter.com/rYySaeMRDa

— Proper ? (@ProperPrompter) May 14, 2024

New ways to engage with Gemini for Workspace — from workspace.google.com

Today at Google I/O we’re announcing new, powerful ways to get more done in your personal and professional life with Gemini for Google Workspace. Gemini in the side panel of your favorite Workspace apps is rolling out more broadly and will use the 1.5 Pro model for answering a wider array of questions and providing more insightful responses. We’re also bringing more Gemini capabilities to your Gmail app on mobile, helping you accomplish more on the go. Lastly, we’re showcasing how Gemini will become the connective tissue across multiple applications with AI-powered workflows. And all of this comes fresh on the heels of the innovations and enhancements we announced last month at Google Cloud Next.

Google’s Gemini updates: How Project Astra is powering some of I/O’s big reveals — from techcrunch.com by Kyle Wiggers

Google is improving its AI-powered chatbot Gemini so that it can better understand the world around it — and the people conversing with it.

At the Google I/O 2024 developer conference on Tuesday, the company previewed a new experience in Gemini called Gemini Live, which lets users have “in-depth” voice chats with Gemini on their smartphones. Users can interrupt Gemini while the chatbot’s speaking to ask clarifying questions, and it’ll adapt to their speech patterns in real time. And Gemini can see and respond to users’ surroundings, either via photos or video captured by their smartphones’ cameras.

Generative AI in Search: Let Google do the searching for you — from blog.google
With expanded AI Overviews, more planning and research capabilities, and AI-organized search results, our custom Gemini model can take the legwork out of searching.

A major step towards much more natural human-computer interaction: OpenAI introduces GPT-4o

On 05/14/2024, in 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, bots, digital audio, digital learning, digital video, education, education technology, emerging technologies, Emotion, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, IT in HE, K-12 related, languages and translation, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning preferences, liberal arts, lifelong learning, mathematics, multimedia, Natural Language Processing (NLP), online tutoring, Open AI, personalized/customized learning, platforms, productivity / tips and tricks, smart classrooms, smart/connected TV, student-related, technologies for your home, television, tools, United States, universities, usability, user experience (UX), user interface design, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

Hello GPT-4o — from openai.com
We’re announcing GPT-4o, our new flagship model that can reason across audio, vision, and text in real time.

GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time in a conversation. It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. GPT-4o is especially better at vision and audio understanding compared to existing models.

Example topics covered here:

Two GPT-4os interacting and singing
Languages/translation
Personalized math tutor
Meeting AI
Harmonizing and creating music
Providing inflection, emotions, and a human-like voice
Understanding what the camera is looking at and integrating it into the AI’s responses
Providing customer service

With GPT-4o, we trained a single new model end-to-end across text, vision, and audio, meaning that all inputs and outputs are processed by the same neural network. Because GPT-4o is our first model combining all of these modalities, we are still just scratching the surface of exploring what the model can do and its limitations.

This demo is insane.

A student shares their iPad screen with the new ChatGPT + GPT-4o, and the AI speaks with them and helps them learn in *realtime*.

Imagine giving this to every student in the world.

The future is so, so bright. pic.twitter.com/t14M4fDjwV

— Mckay Wrigley (@mckaywrigley) May 13, 2024

From DSC:
I like the assistive tech angle here:

GPT-4o as tested by @BeMyEyes: pic.twitter.com/WeAoVmxUFH

— Greg Brockman (@gdb) May 14, 2024

It’s been less than 24 hours since the OpenAI changed the world with GPT-4o announcement.

And the Internet is a flooded with demo videos.

Here’re the 10 most jaw-dropping examples so far (Don’t miss the 6th one) pic.twitter.com/sLx1D1YSqb

— Poonam Soni (@CodeByPoonam) May 14, 2024

“Are two teachers better than one?” [Morton] + other K12-related items

On 05/03/2024, in change, education, education reform, K-12 related, leadership, learning ecosystem, Michigan, more voice more choice more control, pedagogy, productivity / tips and tricks, professional development, strategy, teachers, by Daniel Christian

Are two teachers better than one? More schools say yes to team teaching — from hechingerreport.org by Neal Morton
Early research shows it cuts turnover and improves teachers’ job satisfaction

The model, known as team teaching, isn’t new. It dates back to the 1960s. But Arizona State University resurrected the approach, in which teachers share large groups of students, as a way to rebrand the teaching profession and make it more appealing to prospective educators.
…
In Mesa, teachers working on a team leave their profession at lower rates, receive higher evaluations and are more likely to recommend teaching to a friend.

Early research also indicates students assigned to educator teams made more growth in reading and passed Algebra I at higher rates than their peers.

Question: What Early Advice Had a Lasting Impact on Your Teaching? — from edutopia.org
Share the pivotal advice that shaped your teaching and learn from others in our community.

What Districts With the Worst Attendance Have in Common — from edweek.org by Sarah D. Sparks

It is tough to bring students back to the classroom once chronic absenteeism rates begin to climb. As more districts struggle with historically high absenteeism, new research suggests they may need a more systemic approach to reengaging students.

A new working paper on Michigan schools released by the Annenberg Center found most school districts with severe attendance problems did not directly address absenteeism when planning school improvement strategies. Among those that did focus on improving attendance, few coordinated their interventions across schools and aligned interventions to combat the specific barriers keeping students from school.

“If you think about the reasons that families are missing school, informing families about their children’s attendance is certainly important, but it’s not like the primary driver of absenteeism,” Singer said, “so there’s a disconnect.”

3 Strategies for Successfully Starting Your Career as a School Leader — from edutopia.org by Alexandra Auriemma
An assistant principal near the end of her second year in the job shares her advice for those moving into leadership roles.

However, I’ve learned that effective leadership isn’t about having all of the answers; it’s about knowing which questions to ask. Effective leaders listen deeply and ask questions that shape people’s thinking, moving the organization from where it is to where it needs to go.

Building Better Schools: The art of leading change in education — from gettingsmart.com by Tyler Thigpen

Today’s K12 students are spending the vast majority of their time in classrooms listening to answers to questions they did not ask and following rules they did not have a hand in making. Given that this dynamic goes on for years, what is it doing to students’ minds and spirits? To their agency and empowerment? Are we unintentionally graduating dependent young adults?
…
But what if the opposite were true? What if schools empowered children to flourish? What if schools were the places where they could explore, identify, express, and develop their thoughts, feelings, and goals? There’s power in the uniqueness of every child. It’s time that school designs honor students’ unique calling, preferences, and goals, and encourage them to pursue those. It’s time to move fully into a new era for learning where learners can develop greater self-leadership than ever before.

The Digital Transformation Journey: Lessons For Lawyers Embracing AI — from abovethelaw.com by Olga V. Mack
The journey from the days of leather-bound law books to the digital age — and now toward an AI-driven future — offers valuable lessons for embracing change.

No One Will Miss The ‘Good Old Days’
I have yet to meet a lawyer nostalgic for the days of manually updating law reports or sifting through stacks of books for a single precedent. The convenience, speed, and breadth of digital research tools have made the practice of law more efficient and effective. As we move further into the AI era, the enhancements in predictive analytics, document automation, and legal research will make the “good old days” of even the early digital age seem quaint. The efficiencies and capabilities AI brings to the table are likely to become just as indispensable as online databases are today.

The Way We ‘Law’ Will Change For The Better
The ultimate goal of integrating AI into legal practice isn’t just to replace old methods with new ones; it’s to enhance our ability to serve justice, increase access to legal services, and improve the quality of our work. AI promises to automate mundane tasks, predict legal outcomes with greater accuracy, and unearth insights from vast data. These advancements will free us to focus more on the nuanced, human aspects of law — strategy, empathy, and ethical judgment.

AI to Help Double Legal Tech Market Over Five Years, Gartner Says — from news.bloomberglaw.com by Isabel Gottlieb (behind a paywall)

Tech to take up a bigger share of in-house legal spend
Generative AI boom has much longer to run

The legal tech market will expand to $50 billion by 2027, driven by the generative artificial intelligence boom, according to an analysis by market research firm Gartner Inc.

That growth, up from about $23 billion in 2022, will be driven by continued law firm spending on AI legal tech, as well as in-house departments allocating more of their overall budgets to technology, said Chris Audet, chief of research in Gartner’s legal, risk and compliance leaders practice. The market size prediction, released publicly on Thursday, comes from a late-2023 analysis for Gartner clients, and the 2022 market size comes from …

Legal Tech Market To See Huge Lift Off Thanks to GenAI — from digit.fyi by Elizabeth Greenberg

The global legal technology market has grown significantly in recent years and generative AI (GenAI) will accelerate this growth, meaning the market will reach $50 billion in value by 2027, according to Gartner.

“GenAI has huge potential for bringing more automation to the legal space,” said Chris Audet, chief of research in the Gartner for legal, risk & compliance leaders practice.

“Rapid GenAI developments, and the widespread availability of consumer tools such as OpenAI’s ChatGPT and Google’s Bard, will quickly increase the number of established legal technology use cases, in turn creating growing market conditions for an increasing number of legal-focused tools.”

“New technologies can fundamentally change the way legal organizations do business, and GenAI has enormous potential to do this,” an analyst at Gartner said.

Revolutionizing Legal Tech in 48 Hours — from law.stanford.edu by Monica Schreiber
At CodeX Hackathon, SLS Students Help Create Award-Winning AI Tools to Help Veterans and Streamline M&A

Disabled veterans seeking to file claims with the Veterans Administration are faced with multiple hurdles and reams of paperwork. Many vets resort to paying third-party companies thousands of dollars to help them with the process.

What if there were a way to streamline the claims process—to condense burdensome information gathering and data inputting into a linear, simplified set of tasks guided by a chatbot? How long would it take to roll out a tool that could accomplish that?

The answer: about 48 hours—at least for an interdisciplinary team of students from Stanford University’s schools of Law, Business, and Computer Science collaborating feverishly during Codex’s Large Language Model (LLM) Hackathon held recently on campus.

What If Your Law Firm Had A Blank Page For Legal Tech? — from artificiallawyer.com

f law firms had a blank page for legal technology and innovation, what would they do?

While organisations across all sectors are getting to grips with the opportunities and risks posed by genAI, forward-thinking law firm leaders are considering what it means for their businesses – today, tomorrow, and the day after tomorrow.

But some firms remain constrained by yesterday, due to legacy processes, ways of working and mindsets. To create the conditions for change, firms need to adopt a ‘blank page’ approach and review all areas of their businesses by asking: if we were starting afresh, how would we design the organisation to future-proof it to achieve transformative growth with genAI at the core?

From DSC:
This sentence reminds me of the power of culture:

But some firms remain constrained by yesterday, due to legacy processes, ways of working and mindsets.

Fresh Voices on Legal Tech with Sarah Glassmeyer — from legaltalknetwork.com by Dennis Kennedy, Tom Mighell, and Sarah Glassmeyer

What if, instead of tech competence being this scary, overwhelming thing, we showed lawyers how to engage with technology in a more lighthearted, even playful, way? The reality is—tech competency doesn’t have an endpoint, but the process of continuous learning shouldn’t be dull and confusing. Sarah Glassmeyer joins Dennis and Tom to talk about her perspectives on technology education for attorneys, the latest trends in the legal tech world and new AI developments, and growing your knowledge of technology by building on small skills, one at a time.
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How Legal Technology Can Add Value to an M&A Practice — from lexology.com

Following is a primer on some of the A.I.-driven legal technologies, from contract review and automated due-diligence solutions to deal collaboration and closing-management tools, that can drive productivity and efficiency during the four phases of an M&A transaction, as well as enhance market insight and client service.

Smart(er) Glasses: Introducing New Ray-Ban | Meta Styles + Expanding Access to Meta AI with Vision

On 04/29/2024, in A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, content development, aggregation, repositories, corporate / business world, digital audio, digital video, Facebook / Meta Platforms, platforms, productivity / tips and tricks, tools, universities, usability, user experience (UX), vendors, videoconferencing, voice recognition / voice enabled interfaces, wearables, by Daniel Christian

Smart(er) Glasses: Introducing New Ray-Ban | Meta Styles + Expanding Access to Meta AI with Vision — from meta.com

Share Your View on a Video Call
Meta AI Makes Your Smart Glasses Smarter
All In On AI-Powered Hardware

New Ray-Ban | Meta Smart Glasses Styles and Meta AI Updates — from about.fb.com

Takeaways

We’re expanding the Ray-Ban Meta smart glasses collection with new styles.
We’re adding video calling with WhatsApp and Messenger to share your view on a video call.
We’re rolling out Meta AI with Vision, so you can ask your glasses about what you’re seeing and get helpful information — completely hands-free.

Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts –from papers.ssrn.com by Ethan R. Mollick and Lilach Mollick

Abstract

This paper explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning. We present a range of AI-based exercises that enable novel forms of practice and application including simulations, mentoring, coaching, and co-creation. For each type of exercise, we provide prompts that instructors can customize, along with guidance on classroom implementation, assessment, and risks to consider. We also provide blueprints, prompts that help instructors create their own original prompts. Instructors can leverage their content and pedagogical expertise to design these experiences, putting them in the role of builders and innovators. We argue that this instructor-driven approach has the potential to democratize the development of educational technology by enabling individual instructors to create AI exercises and tools tailored to their students’ needs. While the exercises in this paper are a starting point, not a definitive solutions, they demonstrate AI’s potential to expand what is possible in teaching and learning.

AI Resources and Teaching [Kent State U] + other items re: AI in our learning ecosystems

On 04/16/2024, in adjunct faculty, art, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, communities of practice, community colleges, computer science, content development, aggregation, repositories, design, digital audio, digital learning, digital storytelling, digital video, education technology, emerging technologies, engagement / engaging students, experimentation, faculty, future, future of higher education, game-changing environment, Google, higher education, human-computer interaction (HCI), IBM, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, media/film, Microsoft, multimedia, music, Natural Language Processing (NLP), new media literacies, online media, online tutoring, Open AI, open courseware and systems, pedagogy, platforms, productivity / tips and tricks, teaching & learning, tools, United States, universities, vendors, by Daniel Christian

AI RESOURCES AND TEACHING (Kent State University) — from aiadvisoryboards.wordpress.com

AI Resources and Teaching | Kent State University offers valuable resources for educators interested in incorporating artificial intelligence (AI) into their teaching practices. The university recognizes that the rapid emergence of AI tools presents both challenges and opportunities in higher education.

The AI Resources and Teaching page provides educators with information and guidance on various AI tools and their responsible use within and beyond the classroom. The page covers different areas of AI application, including language generation, visuals, videos, music, information extraction, quantitative analysis, and AI syllabus language examples.

A Cautionary AI Tale: Why IBM’s Dazzling Watson Supercomputer Made a Lousy Tutor — from the74million.org by Greg Toppo
With a new race underway to create the next teaching chatbot, IBM’s abandoned 5-year, $100M ed push offers lessons about AI’s promise and its limits.

For all its jaw-dropping power, Watson the computer overlord was a weak teacher. It couldn’t engage or motivate kids, inspire them to reach new heights or even keep them focused on the material — all qualities of the best mentors.

It’s a finding with some resonance to our current moment of AI-inspired doomscrolling about the future of humanity in a world of ascendant machines. “There are some things AI is actually very good for,” Nitta said, “but it’s not great as a replacement for humans.”

His five-year journey to essentially a dead-end could also prove instructive as ChatGPT and other programs like it fuel a renewed, multimillion-dollar experiment to, in essence, prove him wrong.
…

To be sure, AI can do sophisticated things such as generating quizzes from a class reading and editing student writing. But the idea that a machine or a chatbot can actually teach as a human can, he said, represents “a profound misunderstanding of what AI is actually capable of.”

Nitta, who still holds deep respect for the Watson lab, admits, “We missed something important. At the heart of education, at the heart of any learning, is engagement. And that’s kind of the Holy Grail.”

From DSC:
This is why the vision that I’ve been tracking and working on has always said that HUMAN BEINGS will be necessary — they are key to realizing this vision. Along these lines, here’s a relevant quote:

Another crucial component of a new learning theory for the age of AI would be the cultivation of “blended intelligence.” This concept recognizes that the future of learning and work will involve the seamless integration of human and machine capabilities, and that learners must develop the skills and strategies needed to effectively collaborate with AI systems. Rather than viewing AI as a threat to human intelligence, a blended intelligence approach seeks to harness the complementary strengths of humans and machines, creating a symbiotic relationship that enhances the potential of both.

Per Alexander “Sasha” Sidorkin, Head of the National Institute on AI in Society at California State University Sacramento.

The University Student’s Guide To Ethical AI Use — from studocu.com; with thanks to Jervise Penton at 6XD Media Group for this resource

This comprehensive guide offers:

Up-to-date statistics on the current state of AI in universities, how institutions and students are currently using artificial intelligence
An overview of popular AI tools used in universities and its limitations as a study tool
Tips on how to ethically use AI and how to maximize its capabilities for students
Current existing punishment and penalties for cheating using AI
A checklist of questions to ask yourself, before, during, and after an assignment to ensure ethical use

Some of the key facts you might find interesting are:

The total value of AI being used in education was estimated to reach $53.68 billion by the end of 2032.
68% of students say using AI has impacted their academic performance positively.
Educators using AI tools say the technology helps speed up their grading process by as much as 75%.

[Report] The Top 100 AI for Work – April 2024 — from flexos.work; with thanks to Daan van Rossum for this resource
AI is helping us work up to 41% more effectively, according to recent Bain research. We review the platforms to consider for ourselves and our teams.

Following our AI Top 150, we spent the past few weeks analyzing data on the top AI platforms for work. This report shares key insights, including the AI tools you should consider adopting to work smarter, not harder.

While there is understandable concern about AI in the work context, the platforms in this list paint a different picture. It shows a future of work where people can do what humans are best suited for while offloading repetitive, digital tasks to AI.

This will fuel the notion that it’s not AI that takes your job but a supercharged human with an army of AI tools and agents. This should be a call to action for every working person and business leader reading this.

Assessment of Student Learning Is Broken — from insidehighered.com by Zach Justus and Nik Janos
And generative AI is the thing that broke it, Zach Justus and Nik Janos write.

Generative artificial intelligence (AI) has broken higher education assessment. This has implications from the classroom to institutional accreditation. We are advocating for a one-year pause on assessment requirements from institutions and accreditation bodies.
…
Implications and Options
The data we are collecting right now are literally worthless. These same trends implicate all data gathered from December 2022 through the present. So, for instance, if you are conducting a five-year program review for institutional accreditation you should separate the data from before the fall 2022 term and evaluate it independently. Whether you are evaluating writing, STEM outputs, coding, or anything else, you are now looking at some combination of student/AI work. This will get even more confounding as AI tools become more powerful and are integrated into our existing production platforms like Microsoft Office and Google Workspace.

The burden of adapting to artificial intelligence has fallen to faculty, but we are not positioned or equipped to lead these conversations across stakeholder groups.

7 TIPS TO AUTOMATE YOUR CLASSROOM WITH AI — from classtechtips.com by Dr. Monica Burns
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Learning Ecosystems

Introducing Perplexity Pages [perplexity.ai]

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