NVIDIA Partners With Industry Leaders to Advance Genomics, Drug Discovery and Healthcare — from nvidianews.nvidia.com
IQVIA, Illumina, Mayo Clinic and Arc Institute Harness NVIDIA AI and Accelerated Computing to Transform $10 Trillion Healthcare and Life Sciences Industry

J.P. Morgan Healthcare Conference—NVIDIA today announced new partnerships to transform the $10 trillion healthcare and life sciences industry by accelerating drug discovery, enhancing genomic research and pioneering advanced healthcare services with agentic and generative AI.

The convergence of AI, accelerated computing and biological data is turning healthcare into the largest technology industry. Healthcare leaders IQVIA, Illumina and Mayo Clinic, as well as Arc Institute, are using the latest NVIDIA technologies to develop solutions that will help advance human health.

These solutions include AI agents that can speed clinical trials by reducing administrative burden, AI models that learn from biology instruments to advance drug discovery and digital pathology, and physical AI robots for surgery, patient monitoring and operations. AI agents, AI instruments and AI robots will help address the $3 trillion of operations dedicated to supporting industry growth and create an AI factory opportunity in the hundreds of billions of dollars.


AI could transform health care, but will it live up to the hype? — from sciencenews.org by Meghan Rosen and Tina Hesman Saey
The technology has the potential to improve lives, but hurdles and questions remain

True progress in transforming health care will require solutions across the political, scientific and medical sectors. But new forms of artificial intelligence have the potential to help. Innovators are racing to deploy AI technologies to make health care more effective, equitable and humane.

AI could spot cancer early, design lifesaving drugs, assist doctors in surgery and even peer into people’s futures to predict and prevent disease. The potential to help people live longer, healthier lives is vast. But physicians and researchers must overcome a legion of challenges to harness AI’s potential.


HHS publishes AI Strategic Plan, with guidance for healthcare, public health, human services — from healthcareitnews.com by Mike Miliard
The framework explores ways to spur innovation and adoption, enable more trustworthy model development, promote access and foster AI-empowered healthcare workforces.

The U.S. Department of Health and Human Services has issued its HHS Artificial Intelligence Strategic Plan, which the agency says will “set in motion a coordinated public-private approach to improving the quality, safety, efficiency, accessibility, equitability and outcomes in health and human services through the innovative, safe, and responsible use of AI.”


How Journalism Will Adapt in the Age of AI — from bloomberg.com/ by John Micklethwait
The news business is facing its next enormous challenge. Here are eight reasons to be both optimistic and paranoid.

AI promises to get under the hood of our industry — to change the way we write and edit stories. It will challenge us, just like it is challenging other knowledge workers like lawyers, scriptwriters and accountants.

Most journalists love AI when it helps them uncover Iranian oil smuggling. Investigative journalism is not hard to sell to a newsroom. The second example is a little harder. Over the past month we have started testing AI-driven summaries for some longer stories on the Bloomberg Terminal.

The software reads the story and produces three bullet points. Customers like it — they can quickly see what any story is about. Journalists are more suspicious. Reporters worry that people will just read the summary rather than their story.

So, looking into our laboratory, what do I think will happen in the Age of AI? Here are eight predictions.


‘IT will become the HR of AI agents’, says Nvidia’s CEO: How should organisations respond? — from hrsea.economictimes.indiatimes.com by Vanshika Rastogi

Nvidia’s CEO, Jensen Huang’s recent statement “IT will become the HR of AI agents” continues to spark debate about IT’s evolving role in managing AI systems. As AI tools become integral, IT teams will take on tasks like training and optimising AI agents, blending technical and HR responsibilities. So, how should organisations respond to this transformation?

 

How Generative AI Is Shaping the Future of Law: Challenges and Trends in the Legal Profession — from thomsonreuters.com by Raghu Ramanathan

With this mind, Thomson Reuters and Lexpert hosted a panel featuring law firm leaders and industry experts discussing the challenges and trends around the use of generative AI in the legal profession.?Below are insights from an engaging and informative discussion.

Sections included:

  • Lawyers are excited to implement generative AI solutions
  • Unfounded concerns about robot lawyers
  • Changing billing practices and elevating services
  • Managing and mitigating risks

Adopting Legal Technology Responsibly — from lexology.com by Sacha Kirk

Here are fundamental principles to guide the process:

  1. Start with a Needs Assessment…
  2. Engage Stakeholders Early…
  3. Choose Scalable Solutions…
  4. Prioritise Security and Compliance…
  5. Plan for Change Management…

Modernizing Legal Workflows: The Role Of AI, Automation, And Strategic Partnerships — from abovethelaw.com by Scott Angelo, Jared Gullbergh, Nancy Griffing, and Michael Owen Hill
A roadmap for law firms.  

Angelo added, “We really doubled down on AI because it was just so new — not just to the legal industry, but to the world.” Under his leadership, Buchanan’s efforts to embrace AI have garnered significant attention, earning the firm recognition as one of the “Best of the Best for Generative AI” in the 2024 BTI “Leading Edge Law Firms” survey.

This acknowledgment reflects more than ambition; it highlights the firm’s ability to translate innovative ideas into actionable results. By focusing on collaboration and leveraging technology to address client demands, Buchanan has set a benchmark for what is possible in legal technology innovation.

The collective team followed these essential steps for app development:

  • Identify and Prioritize Use Cases…
  • Define App Requirements…
  • Leverage Pre-Built Studio Apps and Templates…
  • Incorporate AI and Automation…
  • Test and Iterate…
  • Deploy and Train…
  • Measure Success…

Navigating Generative AI in Legal Practice — from linkedin.com by Colin Levy

The rise of artificial intelligence (AI), particularly generative AI, has introduced transformative potential to legal practice. For in-house counsel, managing legal risk while driving operational efficiency increasingly involves navigating AI’s opportunities and challenges. While AI offers remarkable tools for automation and data-driven decision-making, it is essential to approach these tools as complementary to human judgment, not replacements. Effective AI adoption requires balancing its efficiencies with a commitment to ethical, nuanced legal practice.

Here a few ways in which this arises:

 

How AI Is Changing Education: The Year’s Top 5 Stories — from edweek.org by Alyson Klein

Ever since a new revolutionary version of chat ChatGPT became operable in late 2022, educators have faced several complex challenges as they learn how to navigate artificial intelligence systems.

Education Week produced a significant amount of coverage in 2024 exploring these and other critical questions involving the understanding and use of AI.

Here are the five most popular stories that Education Week published in 2024 about AI in schools.


What’s next with AI in higher education? — from msn.com by Science X Staff

Dr. Lodge said there are five key areas the higher education sector needs to address to adapt to the use of AI:

1. Teach ‘people’ skills as well as tech skills
2. Help all students use new tech
3. Prepare students for the jobs of the future
4. Learn to make sense of complex information
5. Universities to lead the tech change


5 Ways Teachers Can Use NotebookLM Today — from classtechtips.com by Dr. Monica Burns

 

What Students Are Saying About Teachers Using A.I. to Grade — from nytimes.com by The Learning Network; via Claire Zau
Teenagers and educators weigh in on a recent question from The Ethicist.

Is it unethical for teachers to use artificial intelligence to grade papers if they have forbidden their students from using it for their assignments?

That was the question a teacher asked Kwame Anthony Appiah in a recent edition of The Ethicist. We posed it to students to get their take on the debate, and asked them their thoughts on teachers using A.I. in general.

While our Student Opinion questions are usually reserved for teenagers, we also heard from a few educators about how they are — or aren’t — using A.I. in the classroom. We’ve included some of their answers, as well.


OpenAI wants to pair online courses with chatbots — from techcrunch.com by Kyle Wiggers; via James DeVaney on LinkedIn

If OpenAI has its way, the next online course you take might have a chatbot component.

Speaking at a fireside on Monday hosted by Coeus Collective, Siya Raj Purohit, a member of OpenAI’s go-to-market team for education, said that OpenAI might explore ways to let e-learning instructors create custom “GPTs” that tie into online curriculums.

“What I’m hoping is going to happen is that professors are going to create custom GPTs for the public and let people engage with content in a lifelong manner,” Purohit said. “It’s not part of the current work that we’re doing, but it’s definitely on the roadmap.”


15 Times to use AI, and 5 Not to — from oneusefulthing.org by Ethan Mollick
Notes on the Practical Wisdom of AI Use

There are several types of work where AI can be particularly useful, given the current capabilities and limitations of LLMs. Though this list is based in science, it draws even more from experience. Like any form of wisdom, using AI well requires holding opposing ideas in mind: it can be transformative yet must be approached with skepticism, powerful yet prone to subtle failures, essential for some tasks yet actively harmful for others. I also want to caveat that you shouldn’t take this list too seriously except as inspiration – you know your own situation best, and local knowledge matters more than any general principles. With all that out of the way, below are several types of tasks where AI can be especially useful, given current capabilities—and some scenarios where you should remain wary.


Learning About Google Learn About: What Educators Need To Know — from techlearning.com by Ray Bendici
Google’s experimental Learn About platform is designed to create an AI-guided learning experience

Google Learn About is a new experimental AI-driven platform available that provides digestible and in-depth knowledge about various topics, but showcases it all in an educational context. Described by Google as a “conversational learning companion,” it is essentially a Wikipedia-style chatbot/search engine, and then some.

In addition to having a variety of already-created topics and leading questions (in areas such as history, arts, culture, biology, and physics) the tool allows you to enter prompts using either text or an image. It then provides a general overview/answer, and then suggests additional questions, topics, and more to explore in regard to the initial subject.

The idea is for student use is that the AI can help guide a deeper learning process rather than just provide static answers.


What OpenAI’s PD for Teachers Does—and Doesn’t—Do — from edweek.org by Olina Banerji
What’s the first thing that teachers dipping their toes into generative artificial intelligence should do?

They should start with the basics, according to OpenAI, the creator of ChatGPT and one of the world’s most prominent artificial intelligence research companies. Last month, the company launched an hour-long, self-paced online course for K-12 teachers about the definition, use, and harms of generative AI in the classroom. It was launched in collaboration with Common Sense Media, a national nonprofit that rates and reviews a wide range of digital content for its age appropriateness.

…the above article links to:

ChatGPT Foundations for K–12 Educators — from commonsense.org

This course introduces you to the basics of artificial intelligence, generative AI, ChatGPT, and how to use ChatGPT safely and effectively. From decoding the jargon to responsible use, this course will help you level up your understanding of AI and ChatGPT so that you can use tools like this safely and with a clear purpose.

Learning outcomes:

  • Understand what ChatGPT is and how it works.
  • Demonstrate ways to use ChatGPT to support your teaching practices.
  • Implement best practices for applying responsible AI principles in a school setting.

Takeaways From Google’s Learning in the AI Era Event — from edtechinsiders.substack.com by Sarah Morin, Alex Sarlin, and Ben Kornell
Highlights from Our Day at Google + Behind-the-Scenes Interviews Coming Soon!

  1. NotebookLM: The Start of an AI Operating System
  2. Google is Serious About AI and Learning
  3. Google’s LearnLM Now Available in AI Studio
  4. Collaboration is King
  5. If You Give a Teacher a Ferrari

Rapid Responses to AI — from the-job.beehiiv.com by Paul Fain
Top experts call for better data and more short-term training as tech transforms jobs.

AI could displace middle-skill workers and widen the wealth gap, says landmark study, which calls for better data and more investment in continuing education to help workers make career pivots.

Ensuring That AI Helps Workers
Artificial intelligence has emerged as a general purpose technology with sweeping implications for the workforce and education. While it’s impossible to precisely predict the scope and timing of looming changes to the labor market, the U.S. should build its capacity to rapidly detect and respond to AI developments.
That’s the big-ticket framing of a broad new report from the National Academies of Sciences, Engineering, and Medicine. Congress requested the study, tapping an all-star committee of experts to assess the current and future impact of AI on the workforce.

“In contemplating what the future holds, one must approach predictions with humility,” the study says…

“AI could accelerate occupational polarization,” the committee said, “by automating more nonroutine tasks and increasing the demand for elite expertise while displacing middle-skill workers.”

The Kicker: “The education and workforce ecosystem has a responsibility to be intentional with how we value humans in an AI-powered world and design jobs and systems around that,” says Hsieh.


AI Predators: What Schools Should Know and Do — from techlearning.com by Erik Ofgang
AI is increasingly be used by predators to connect with underage students online. Yasmin London, global online safety expert at Qoria and a former member of the New South Wales Police Force in Australia, shares steps educators can take to protect students.

The threat from AI for students goes well beyond cheating, says Yasmin London, global online safety expert at Qoria and a former member of the New South Wales Police Force in Australia.

Increasingly at U.S. schools and beyond, AI is being used by predators to manipulate children. Students are also using AI generate inappropriate images of other classmates or staff members. For a recent report, Qoria, a company that specializes in child digital safety and wellbeing products, surveyed 600 schools across North America, UK, Australia, and New Zealand.


Why We Undervalue Ideas and Overvalue Writing — from aiczar.blogspot.com by Alexander “Sasha” Sidorkin

A student submits a paper that fails to impress stylistically yet approaches a worn topic from an angle no one has tried before. The grade lands at B minus, and the student learns to be less original next time. This pattern reveals a deep bias in higher education: ideas lose to writing every time.

This bias carries serious equity implications. Students from disadvantaged backgrounds, including first-generation college students, English language learners, and those from under-resourced schools, often arrive with rich intellectual perspectives but struggle with academic writing conventions. Their ideas – shaped by unique life experiences and cultural viewpoints – get buried under red ink marking grammatical errors and awkward transitions. We systematically undervalue their intellectual contributions simply because they do not arrive in standard academic packaging.


Google Scholar’s New AI Outline Tool Explained By Its Founder — from techlearning.com by Erik Ofgang
Google Scholar PDF reader uses Gemini AI to read research papers. The AI model creates direct links to the paper’s citations and a digital outline that summarizes the different sections of the paper.

Google Scholar has entered the AI revolution. Google Scholar PDF reader now utilizes generative AI powered by Google’s Gemini AI tool to create interactive outlines of research papers and provide direct links to sources within the paper. This is designed to make reading the relevant parts of the research paper more efficient, says Anurag Acharya, who co-founded Google Scholar on November 18, 2004, twenty years ago last month.


The Four Most Powerful AI Use Cases in Instructional Design Right Now — from drphilippahardman.substack.com by Dr. Philippa Hardman
Insights from ~300 instructional designers who have taken my AI & Learning Design bootcamp this year

  1. AI-Powered Analysis: Creating Detailed Learner Personas…
  2. AI-Powered Design: Optimising Instructional Strategies…
  3. AI-Powered Development & Implementation: Quality Assurance…
  4. AI-Powered Evaluation: Predictive Impact Assessment…

How Are New AI Tools Changing ‘Learning Analytics’? — from edsurge.com by Jeffrey R. Young
For a field that has been working to learn from the data trails students leave in online systems, generative AI brings new promises — and new challenges.

In other words, with just a few simple instructions to ChatGPT, the chatbot can classify vast amounts of student work and turn it into numbers that educators can quickly analyze.

Findings from learning analytics research is also being used to help train new generative AI-powered tutoring systems.

Another big application is in assessment, says Pardos, the Berkeley professor. Specifically, new AI tools can be used to improve how educators measure and grade a student’s progress through course materials. The hope is that new AI tools will allow for replacing many multiple-choice exercises in online textbooks with fill-in-the-blank or essay questions.


Increasing AI Fluency Among Enterprise Employees, Senior Management & Executives — from learningguild.com by Bill Brandon

This article attempts, in these early days, to provide some specific guidelines for AI curriculum planning in enterprise organizations.

The two reports identified in the first paragraph help to answer an important question. What can enterprise L&D teams do to improve AI fluency in their organizations?

You could be surprised how many software products have added AI features. Examples (to name a few) are productivity software (Microsoft 365 and Google Workspace); customer relationship management (Salesforce and Hubspot); human resources (Workday and Talentsoft); marketing and advertising (Adobe Marketing Cloud and Hootsuite); and communication and collaboration (Slack and Zoom). Look for more under those categories in software review sites.

 

7 Legal Tech Trends To Watch In 2025 — from lexology.com by Sacha Kirk
Australia, United Kingdom November 25 2024

In-house legal teams are changing from a traditional support function to becoming proactive business enablers. New tools are helping legal departments enhance efficiency, improve compliance, and to deliver greater strategic value.

Here’s a look at seven emerging trends that will shape legal tech in 2025 and insights on how in-house teams can capitalise on these innovations.

1. AI Solutions…
2. Regulatory Intelligence Platforms…

7. Self-Service Legal Tools and Knowledge Management
As the demand on in-house legal teams continues to grow, self-service tools are becoming indispensable for managing routine legal tasks. In 2025, these tools are expected to evolve further, enabling employees across the organisation to handle straightforward legal processes independently. Whether it’s accessing pre-approved templates, completing standard agreements, or finding answers to common legal queries, self-service platforms reduce the dependency on legal teams for everyday tasks.

Advanced self-service tools go beyond templates, incorporating intuitive workflows, approval pathways, and built-in guidance to ensure compliance with legal and organisational policies. By empowering business users to manage low-risk matters on their own, these tools free up legal teams to focus on complex and high-value work.


 

 

Five key issues to consider when adopting an AI-based legal tech — from legalfutures.co.uk by Mark Hughes

As more of our familiar legal resources have started to embrace a generative AI overhaul, and new players have come to the market, there are some key issues that your law firm needs to consider when adopting an AI-based legal tech.

  • Licensing
  • Data protection
  • The data sets
  • …and others

Knowable Introduces Gen AI Tool It Says Will Revolutionize How Companies Interact with their Contracts — from lawnext.com by Bob Ambrogi

Knowable, a legal technology company specializing in helping organizations bring order and organization to their executed agreements, has announced Ask Knowable, a suite of generative AI-powered tools aimed at transforming how legal teams interact with and understand what is in their contracts.

Released today as a commercial preview and set to launch for general availability in March 2025, the feature marks a significant step forward in leveraging large language models to address the complexities of contract management, the company says.


The Global Legal Post teams up with LexisNexis to explore challenges and opportunities of Gen AI adoption — from globallegalpost.com by
Series of articles will investigate key criteria to consider when investing in Gen AI

The Global Legal Post has teamed up with LexisNexis to help inform readers’ decision-making in the selection of generative AI (Gen AI) legal research solutions.

The Generative AI Legal Research Hub in association with LexisNexis will host a series of articles exploring the key criteria law firms and legal departments should consider when seeking to harness the power of Gen AI to improve the delivery of legal services.


Leveraging AI to Grow Your Legal Practice — from americanbar.org

Summary

  • AI-powered tools like chat and scheduling meet clients’ demand for instant, personalized service, improving engagement and satisfaction.
  • Firms using AI see up to a 30% increase in lead conversion, cutting client acquisition costs and maximizing marketing investments.
  • AI streamlines processes, speeds up response times, and enhances client engagement—driving growth and long-term client retention.

How a tech GC views AI-enabled efficiencies and regulation — from legaldive.com by Justin Bachman
PagerDuty’s top in-house counsel sees legal AI tools as a way to scale resources without adding headcount while focusing lawyers on their high-value work.


Innovations in Legal Practice: How Tim Billick’s Firm Stays Ahead with AI and Technology — from techtimes.com by Elena McCormick

Enhancing Client Service through Technology
Beyond internal efficiency, Billick’s firm utilizes technology to improve client communication and engagement. By adopting client-facing AI tools, such as chatbots for routine inquiries and client portals for real-time updates, Practus makes legal processes more transparent and accessible to its clients. According to Billick, this responsiveness is essential in IP law, where clients often need quick updates and answers to time-sensitive questions about patents, trademarks, and licensing agreements.

AI-driven client management software is also part of the firm’s toolkit, enabling Billick and his team to track each client’s case progress and share updates efficiently. The firm’s technology infrastructure supports clients from various sectors, including engineering, software development, and consumer products, tailoring case workflows to meet unique needs within each industry. “Clients appreciate having immediate access to their case status, especially in industries where timing is crucial,” Billick shares.


New Generative AI Study Highlights Adoption, Use and Opportunities in the Legal Industry — from prnewswire.com by Relativity

CHICAGO, Nov. 12, 2024 /PRNewswire/ — Relativity, a global legal technology company, today announced findings from the IDC InfoBrief, Generative AI in Legal 2024, commissioned by Relativity. The study uncovers the rapid increase of generative AI adoption in the legal field, examining how legal professionals are navigating emerging challenges and seizing opportunities to drive legal innovation.

The international study surveyed attorneys, paralegals, legal operations professionals and legal IT professionals from law firms, corporations and government agencies. Respondents were located in Australia, Canada, Ireland, New Zealand, the United Kingdom and the United States. The data uncovered important trends on how generative AI has impacted the legal industry and how legal professionals will use generative AI in the coming years.

 

What Students Want When It Comes To AI — from onedtech.philhillaa.com by Glenda Morgan
The Digital Education Council Global AI Student Survey 2024

The Digital Education Council (DEC) this week released the results of a global survey of student opinions on AI. It’s a large survey with nearly 4,000 respondents conducted across 16 countries, but more importantly, it asks some interesting questions. There are many surveys about AI out there right now, but this one stands out. I’m going to go into some depth here, as the entire survey report is worth reading.

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AI is forcing a teaching and learning evolution — from eschoolnews.com by Laura Ascione
AI and technology tools are leading to innovative student learning–along with classroom, school, and district efficiency

Key findings from the 2024 K-12 Educator + AI Survey, which was conducted by Hanover Research, include:

  • Teachers are using AI to personalize and improve student learning, not just run classrooms more efficiently, but challenges remain
  • While post-pandemic challenges persist, the increased use of technology is viewed positively by most teachers and administrators
  • …and more

From DSC:
I wonder…how will the use of AI in education square with the issues of using smartphones/laptops within the classrooms? See:

  • Why Schools Are Racing to Ban Student Phones — from nytimes.com by Natasha Singer; via GSV
    As the new school year starts, a wave of new laws that aim to curb distracted learning is taking effect in Indiana, Louisiana and other states.

A three-part series from Dr. Phillippa Hardman:

Part 1: Writing Learning Objectives  
The Results Part 1: Writing Learning Objectives

In this week’s post I will dive into the results from task 1: writing learning objectives. Stay tuned over the next two weeks to see all of the the results.

Part 2: Selecting Instructional Strategies.
The Results Part 2: Selecting an Instructional Strategy

Welcome back to our three-part series exploring the impact of AI on instructional design.

This week, we’re tackling a second task and a crucial aspect of instructional design: selecting instructional strategies. The ability to select appropriate instructional strategies to achieve intended objectives is a mission-critical skill for any instructional designer. So, can AI help us do a good job of it? Let’s find out!

Part 3: How Close is AI to Replacing Instructional Designers?
The Results Part 3: Creating a Course Outline

Today, we’re diving into what many consider to be the role-defining task of the instructional designer: creating a course design outline.


ChatGPT Cheat Sheet for Instructional Designers! — from Alexandra Choy Youatt EdD

Instructional Designers!
Whether you’re new to the field or a seasoned expert, this comprehensive guide will help you leverage AI to create more engaging and effective learning experiences.

What’s Inside?
Roles and Tasks: Tailored prompts for various instructional design roles and tasks.
Formats: Different formats to present your work, from training plans to rubrics.
Learning Models: Guidance on using the ADDIE model and various pedagogical strategies.
Engagement Tips: Techniques for online engagement and collaboration.
Specific Tips: Industry certifications, work-based learning, safety protocols, and more.

Who Can Benefit?
Corporate Trainers
Curriculum Developers
E-Learning Specialists
Instructional Technologists
Learning Experience Designers
And many more!

ChatGPT Cheat Sheet | Instructional Designer


5 AI Tools I Use Every Day (as a Busy Student) — from theaigirl.substack.com by Diana Dovgopol
AI tools that I use every day to boost my productivity.
#1 Gamma
#2 Perplexity
#3 Cockatoo

I use this AI tool almost every day as well. Since I’m still a master’s student at university, I have to attend lectures and seminars, which are always in English or German, neither of which is my native language. With the help of Cockatoo, I create scripts of the lectures and/or translations into my language. This means I don’t have to take notes in class and then manually translate them afterward. All I need to do is record the lecture audio on any device or directly in Cockatoo, upload it, and then you’ll have the audio and text ready for you.

…and more


Students Worry Overemphasis on AI Could Devalue Education — from insidehighered.com by Juliette Rowsell
Report stresses that AI is “new standard” and universities need to better communicate policies to learners.

Rising use of AI in higher education could cause students to question the quality and value of education they receive, a report warns.

This year’s Digital Education Council Global AI Student Survey, of more than 3,800 students from 16 countries, found that more than half (55 percent) believed overuse of AI within teaching devalued education, and 52 percent said it negatively impacted their academic performance.

Despite this, significant numbers of students admitted to using such technology. Some 86 percent said they “regularly” used programs such as ChatGPT in their studies, 54 percent said they used it on a weekly basis, and 24 percent said they used it to write a first draft of a submission.

Higher Ed Leadership Is Excited About AI – But Investment Is Lacking — from forbes.com by Vinay Bhaskara

As corporate America races to integrate AI into its core operations, higher education finds itself in a precarious position. I conducted a survey of 63 university leaders revealing that while higher ed leaders recognize AI’s transformative potential, they’re struggling to turn that recognition into action.

This struggle is familiar for higher education — gifted with the mission of educating America’s youth but plagued with a myriad of operational and financial struggles, higher ed institutions often lag behind their corporate peers in technology adoption. In recent years, this gap has become threateningly large. In an era of declining enrollments and shifting demographics, closing this gap could be key to institutional survival and success.

The survey results paint a clear picture of inconsistency: 86% of higher ed leaders see AI as a “massive opportunity,” yet only 21% believe their institutions are prepared for it. This disconnect isn’t just a minor inconsistency – it’s a strategic vulnerability in an era of declining enrollments and shifting demographics.


(Generative) AI Isn’t Going Anywhere but Up — from stefanbauschard.substack.com by Stefan Bauschard
“Hype” claims are nonsense.

There has been a lot of talk recently about an “AI Bubble.” Supposedly, the industry, or at least the generative AI subset of it, will collapse. This is known as the “Generative AI Bubble.” A bubble — a broad one or a generative one — is nonsense. These are the reasons we will continue to see massive growth in AI.


AI Readiness: Prepare Your Workforce to Embrace the Future — from learningguild.com by Danielle Wallace

Artificial Intelligence (AI) is revolutionizing industries, enhancing efficiency, and unlocking new opportunities. To thrive in this landscape, organizations need to be ready to embrace AI not just technologically but also culturally.

Learning leaders play a crucial role in preparing employees to adapt and excel in an AI-driven workplace. Transforming into an AI-empowered organization requires more than just technological adoption; it demands a shift in organizational mindset. This guide delves into how learning leaders can support this transition by fostering the right mindset attributes in employees.


Claude AI for eLearning Developers — from learningguild.com by Bill Brandon

Claude is fast, produces grammatically correct  text, and outputs easy-to-read articles, emails, blog posts, summaries, and analyses. Take some time to try it out. If you worry about plagiarism and text scraping, put the results through Grammarly’s plagiarism checker (I did not use Claude for this article, but I did send the text through Grammarly).


Survey: Top Teacher Uses of AI in the Classroom — from thejournal.com by Rhea Kelly

A new report from Cambium Learning Group outlines the top ways educators are using artificial intelligence to manage their classrooms and support student learning. Conducted by Hanover Research, the 2024 K-12 Educator + AI Survey polled 482 teachers and administrators at schools and districts that are actively using AI in the classroom.

More than half of survey respondents (56%) reported that they are leveraging AI to create personalized learning experiences for students. Other uses included providing real-time performance tracking and feedback (cited by 52% of respondents), helping students with critical thinking skills (50%), proofreading writing (47%), and lesson planning (44%).

On the administrator side, top uses of AI included interpreting/analyzing student data (61%), managing student records (56%), and managing professional development (56%).


Addendum on 8/14/24:

 

Welcome to the Digital Writing Lab -- Supporting teachers to develop and empower digitally literate citizens.

Digital Writing Lab

About this Project

The Digital Writing Lab is a key component of the Australian national Teaching Digital Writing project, which runs from 2022-2025.

This stage of the broader project involves academic and secondary English teacher collaboration to explore how teachers are conceptualising the teaching of digital writing and what further supports they may need.

Previous stages of the project included archival research reviewing materials related to digital writing in Australia’s National Textbook Collection, and a national survey of secondary English teachers. You can find out more about the whole project via the project blog.

Who runs the project?

Project Lead Lucinda McKnight is an Associate Professor and Australian Research Council (ARC) DECRA Fellow researching how English teachers can connect the teaching of writing to contemporary media and students’ lifeworlds.

She is working with Leon Furze, who holds the doctoral scholarship attached to this project, and Chris Zomer, the project Research Fellow. The project is located in the Research for Educational Impact (REDI) centre at Deakin University, Melbourne.

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Teaching Digital Writing is a research project about English today.

 

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] Generative AI Top 150: The World’s Most Used AI Tools (Feb 2024) — from flexos.work by Daan van Rossum
FlexOS.work surveyed Generative AI platforms to reveal which get used most. While ChatGPT reigns supreme, countless AI platforms are used by millions.

As the FlexOS research study “Generative AI at Work” concluded based on a survey amongst knowledge workers, ChatGPT reigns supreme.

2. AI Tool Usage is Way Higher Than People Expect – Beating Netflix, Pinterest, Twitch.
As measured by data analysis platform Similarweb based on global web traffic tracking, the AI tools in this list generate over 3 billion monthly visits.

With 1.67 billion visits, ChatGPT represents over half of this traffic and is already bigger than Netflix, Microsoft, Pinterest, Twitch, and The New York Times.

.


Artificial Intelligence Act: MEPs adopt landmark law — from europarl.europa.eu

  • Safeguards on general purpose artificial intelligence
  • Limits on the use of biometric identification systems by law enforcement
  • Bans on social scoring and AI used to manipulate or exploit user vulnerabilities
  • Right of consumers to launch complaints and receive meaningful explanations


The untargeted scraping of facial images from CCTV footage to create facial recognition databases will be banned © Alexander / Adobe Stock


A New Surge in Power Use Is Threatening U.S. Climate Goals — from nytimes.com by Brad Plumer and Nadja Popovich
A boom in data centers and factories is straining electric grids and propping up fossil fuels.

Something unusual is happening in America. Demand for electricity, which has stayed largely flat for two decades, has begun to surge.

Over the past year, electric utilities have nearly doubled their forecasts of how much additional power they’ll need by 2028 as they confront an unexpected explosion in the number of data centers, an abrupt resurgence in manufacturing driven by new federal laws, and millions of electric vehicles being plugged in.


OpenAI and the Fierce AI Industry Debate Over Open Source — from bloomberg.com by Rachel Metz

The tumult could seem like a distraction from the startup’s seemingly unending march toward AI advancement. But the tension, and the latest debate with Musk, illuminates a central question for OpenAI, along with the tech world at large as it’s increasingly consumed by artificial intelligence: Just how open should an AI company be?

The meaning of the word “open” in “OpenAI” seems to be a particular sticking point for both sides — something that you might think sounds, on the surface, pretty clear. But actual definitions are both complex and controversial.


Researchers develop AI-driven tool for near real-time cancer surveillance — from medicalxpress.com by Mark Alewine; via The Rundown AI
Artificial intelligence has delivered a major win for pathologists and researchers in the fight for improved cancer treatments and diagnoses.

In partnership with the National Cancer Institute, or NCI, researchers from the Department of Energy’s Oak Ridge National Laboratory and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.


 

The future of learning — from moodle.com by Sonya Trivedi

Self-directed and continuous learning
The concept of self-directed and continuous learning is becoming increasingly popular, reshaping our approach to knowledge and skill acquisition in both formal education and workplace settings. This evolving landscape reflects a world where traditional career paths are being replaced by more dynamic and flexible models, compelling learners to adapt and grow continuously.

The Future of Learning Report 2022 highlights this shift, noting the diminishing concept of a ‘career for life.’ With regular job switching and the expansion of the gig economy, there is an increasing need for a workforce equipped with a broad range of skills and the ability to gain qualifications throughout their careers. This shift is underlined by learners increasingly seeking control over their educational journeys, understanding that the ongoing acquisition of knowledge and skills is essential for staying relevant in the rapidly changing world of work. Reflecting this trend, a significant portion of learners, 33%, are choosing online platforms for their flexibility and ability to cater to individual needs and schedules.

From DSC:
The next paragraph after the above excerpt says:

Much like how companies such as Uber and Airbnb have reshaped their respective industries without owning traditional assets, the future of education might see universities functioning as the ‘Netflix of learning.’ In this model, learners comfortably source their educational experiences from various platforms, assembling their qualifications to create a personalised and continuously evolving portfolio of skills??.

But I don’t think it will be universities that function as the “Netflix of learning” as I don’t think the cultures of most institutions of traditional higher education can deal with that kind of innovation. I hope I’m wrong.

I think it will be a new, global, lifelong learning platform that originates outside of higher education. It will be bigger than higher education, K12, corporate training, or vocational training — as such a 21st-century, AI-based platform will offer all of the above and more.

Learning from the living AI-based class room


Slow Shift to Skills — from the-job.beehiiv.com by Paul Fain

Real progress in efforts to increase mobility for nondegree workers is unlikely during the next couple years, Joseph Fuller, a professor at Harvard University’s business school who co-leads its Managing the Future of Work initiative, recently told me.

Yet Fuller is bullish on skills-based hiring becoming a real thing in five to 10 years. That’s because he predicts that AI will create the data to solve the skills taxonomy problem Kolko describes. And if skills-based hiring allows for serious movement for workers without bachelor’s degrees, Fuller says the future will look like where Texas is headed.


Report: Microcredentials Not a Strategic Priority for Many Colleges — from insidehighered.com by Kathryn Palmer
A new report finds that while most colleges surveyed embrace alternative credentials, many have a decentralized approach for creating and managing them.

While the majority of colleges focused on online, professional and continuing education have embraced alternative credentials, a significant number of those institutions haven’t made them a strategic priority.

That’s one of the key takeaways from a new study released Monday by UPCEA, the organization previously known as the University Professional and Continuing Education Association. University Professional and Continuing Education Association.

“While a lot of institutions want this, they don’t necessarily all know how” to deliver alternative credentials, said Bruce Etter, UPCEA’s senior director of research and consulting. “Embracing it is great, but now it needs to be part of the strategic plan.”


The Higher Learning Commission’s Credential Lab — from hlcommission.org

HLC’s Credential Lab


10 higher ed trends to watch in 2024 — from insidetrack.org by

Trend 1.
Linking education to career paths

Trend 2.
Making sense of the AI explosion

Trend 3.
Prioritizing mental health on campus

…plus 7 other trends


North Carolina’s Community Colleges Make a Big Bid to Stay Relevant — from workshift.opencampusmedia.org by Margaret Moffett
The system is poised to ask state legislators to overhaul its funding formula to focus on how well colleges prepare students for high-demand, well-paying jobs.

The new formula would pay a premium to each college based on labor-market outcomes: the more students enrolled in courses in high-demand, high-paying workforce sectors, the more money the college receives.

Importantly, the proposed formula makes no distinction between curricular courses that count toward degree programs and noncredit continuing education classes, which historically offer fewer slots for students because of their lower FTE reimbursement rates.



Supporting Career and Technical Education — from bloomberg.org via Paul Fain

The American job market is changing. A high school diploma is no longer a ticket to a good job now, an increasing number of employers are offering “middle-skill jobs” that require more than a high school diploma but less than a bachelor’s degree. Industries like health care, IT, advanced manufacturing, and financial services continue to see sustained growth at all levels, and they need workers with the experience and the credentials to fill new positions. Bloomberg Philanthropies is investing in programs that help young people get the specialized training they need through internships, apprenticeships, academics, and work-based learning.

 

Firms must continue to evolve to remain relevant — from lawyersweekly.com.au by Emma Musgrave
Law firms of all shapes and sizes must continue to reinvent themselves beyond the COVID-19 pandemic, according to two senior leaders at Piper Alderman.

“So [it’s] not saying, ‘We’re going to roll out ChatGPT across the board and use that’; it’s finding some particular cases that might be useful,” he explained.

“We’ve had, for example, [instances] where lawyers have said, ‘We’ve got a bunch of documents we use on a regular basis or a bunch of devices we use on a regular basis. Can we put these into ChatGPT and see if we can [find a] better way of pulling data out of things?’ And so use cases like that where people are coming up with ideas and trying them out and seeing how they go and [questioning whether] we roll this out more widely? I think that’s the approach that seems to be the best.”


Is Legal Technology the Future of Legal Services? — from lawfuel.com by Kelli Hall

Impact of Legal Technology on the Legal Industry

  • Virtual simulations and unrecognizable deep-fakes
  • eDiscovery investigations and the potential for cyberattacks
  • Enhancing efficiency, but potential risk for data leakage
  • Automation of administrative tasks and rapid data research

Revolutionizing Law Firm Strategies With AI And SEO — from abovethelaw.com by Annette Choti
Explore how AI and SEO are transforming law firm strategies, from automated keyword research to predictive SEO and voice recognition technology.

AI and SEO are two powerful technologies transforming the digital world for legal offices. AI can enhance SEO strategies, offering a competitive edge in search engine rankings. AI can streamline your content creation process. Learn about machine learning’s role in enhancing content optimization, contributing to more targeted and effective marketing efforts.


Navigating Gen AI In Legal: Insights From CES And A Dash Of Tequila Thinking — from abovethelaw.com by Stephen Embry
What should be our true north in making decisions about how to use technology?

Embracing Gen AI in Legal
So in all the Gen AI smoke and handwringing, lets first identify what we excel at as lawyers. What only we as lawyers are qualified to do. Then, when it comes to technology and the flavor of the day, Gen AI, let’s look relentlessly at how we can eliminate the time we spend on anything else. Let technology free us up for the work only we can do.

That’s Satya Nadella’s advice. And Microsoft has done pretty well under his leadership.


From Gavels to Algorithms: Judge Xavier Rodriguez Discusses the Future of Law and AI — from jdsupra.com by

It’s a rare privilege to converse with a visionary like Judge Xavier Rodriguez, who has seamlessly blended the realms of justice, law, and technology. His journey from a medieval history enthusiast to a United States district court judge specializing in eDiscovery and AI is inspiring.

Judge Rodriguez provides an insightful perspective on the need for clear AI regulations. He delves into the technical aspects and underscores the potential of AI to democratize the legal system. He envisions AI as a transformative force capable of simplifying the complexities that often make legal services out of reach for many.

Judge Rodriguez champions a progressive approach to legal education, emphasizing the urgency of integrating technology competence into the curriculum. This foresight will prepare future lawyers for a world where AI tools are as commonplace as legal pads, fostering a sense of anticipation for the future of legal practice.


 

 
 

The Evolution of Collaboration: Unveiling the EDUCAUSE Corporate Engagement Program — from er.educause.edu

The program is designed to strengthen the collaboration between private industry and higher education institutions—and evolve the higher education technology market. The new program will do so by taking the following actions:

  • Giving higher education professionals better access to corporate thought leaders who can help create change at their institutions
  • Educating corporate partners on the nuances of higher education and the major challenges it faces so that they can help provide meaningful solutions
  • Giving the EDUCAUSE staff and leadership better access to corporate change-makers in order to advocate for change on behalf of our institutional community
  • Providing the institutional community with higher-quality content and services from companies that are deeply invested in the success of higher education
  • Providing the corporate community with custom-built packages that allow more meaningful connections with the institutional community—not only at our in-person events but also through online opportunities year-round

By building better bridges between our corporate and institutional communities, we can help accelerate our shared mission of furthering the promise of higher education.


Speaking of collaborations, also see:

Could the U.S. become an “Apprentice Nation?” — from Michael B. Horn and Ryan Craig

Intermediaries do the heavy lifting for the employers.


Bottom line: As I discussed with Michael later in the show, we already have the varied system that Leonhardt imagines—it’s just that it’s often by chaos and neglect. Just like we didn’t say to 8th graders a century ago, “go find your own high school,” we need to design a post-high school system with clear and well-designed pathways that include:

  1. Apprenticeships outside of the building trades so students can learn a variety of jobs by doing the job.
  2. Short-term certificates that lead to jobs without necessarily having the college degree immediately, but having the option to return for a college degree later on.
  3. Transfer pathways where credits earned in high school really count in college and the move from two-year college to any four-year institution is seamless.

? Listen to the complete episode here and subscribe to the podcast.

 

34 Big Ideas that will change our world in 2024 — from linkedin.com

34 Big Ideas that will change our world in 2024 -- from linkedin.com 

Excerpts:

6. ChatGPT’s hype will fade, as a new generation of tailor-made bots rises up
11. We’ll finally turn the corner on teacher pay in 2024
21. Employers will combat job applicants’ use of AI with…more AI
31. Universities will view the creator economy as a viable career path

 
© 2025 | Daniel Christian