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Nearly half of CEOs believe that AI not only could—but should—replace their own jobs [Royle] + other items re: AI in general

On 10/31/2023, in Artificial Intelligence/Agents/LLMs/and Related, biology, business, corporate / business world, creativity, drama/theater, emerging technologies, Google, health, leadership, Legal operations, legal reform, legal technologies, legislatures / government / legal, marketing/social marketing, Microsoft, new business models, productivity / tips and tricks, research, society, tools, UK, United States, vendors, workplace, writing, by Daniel Christian

Nearly half of CEOs believe that AI not only could—but should—replace their own jobs — from finance.yahoo.com by Orianna Rosa Royle; via Harsh Makadia

Researchers from edX, an education platform for upskilling workers, conducted a survey involving over 1,500 executives and knowledge workers. The findings revealed that nearly half of CEOs believe AI could potentially replace “most” or even all aspects of their own positions.

What’s even more intriguing is that 47% of the surveyed executives not only see the possibility of AI taking over their roles but also view it as a desirable development.

Why? Because they anticipate that AI could rekindle the need for traditional leadership for those who remain.

“Success in the CEO role hinges on effective leadership, and AI can liberate time for this crucial aspect of their role,” Andy Morgan, Head of edX for Business comments on the findings.

“CEOs understand that time saved on routine tasks can stimulate innovation, nurture creativity, and facilitate essential upskilling for their teams, fostering both individual and organizational success,” he adds.

But CEOs already know this: EdX’s research echoed that 79% of executives fear that if they don’t learn how to use AI, they’ll be unprepared for the future of work.

From DSC:
By the way, my first knee-jerk reaction to this was:

WHAT?!?!?!? And this from people who earn WAAAAY more than the average employee, no doubt.

After a chance to calm down a bit, I see that the article does say that CEOs aren’t going anywhere. Ah…ok…got it.

Strange Ways AI Disrupts Business Models, What’s Next For Creativity & Marketing, Some Provocative Data — from .implications.com by Scott Belsky
In this edition, we explore some of the more peculiar ways that AI may change business models as well as recent releases for the world of creativity and marketing.

Time-based business models are liable for disruption via a value-based overhaul of compensation. Today, as most designers, lawyers, and many trades in between continue to charge by the hour, the AL-powered step-function improvements in workflows are liable to shake things up.
…
In such a world, time-based billing simply won’t work anymore unless the value derived from these services is also compressed by a multiple (unlikely). The classic time-based model of billing for lawyers, designers, consultants, freelancers etc is officially antiquated. So, how might the value be captured in a future where we no longer bill by the hour? …

The worlds of creativity and marketing are rapidly changing – and rapidly coming together. 

#AI #businessmodels #lawyers #billablehour

It becomes clear that just prompting to get images is a rather elementary use case of AI, compared to the ability to place and move objects, change perspective, adjust lighting, and many other actions using AI.

AlphaFold DB provides open access to over 200 million protein structure predictions to accelerate scientific research. — from

AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment.

After 25 years of growth for the $68 billion SEO industry, here’s how Google and other tech firms could render it extinct with AI — from fortune.com by Ravi Sen and The Conversation

But one other consequence is that I believe it may destroy the $68 billion search engine optimization industry that companies like Google helped create.

For the past 25 years or so, websites, news outlets, blogs and many others with a URL that wanted to get attention have used search engine optimization, or SEO, to “convince” search engines to share their content as high as possible in the results they provide to readers. This has helped drive traffic to their sites and has also spawned an industry of consultants and marketers who advise on how best to do that.

As an associate professor of information and operations management, I study the economics of e-commerce. I believe the growing use of generative AI will likely make all of that obsolete.

ChatGPT Plus members can upload and analyze files in the latest beta — from theverge.com by Wes Davis
ChatGPT Plus members can also use modes like Browse with Bing without manually switching, letting the chatbot decide when to use them.

OpenAI is rolling out new beta features for ChatGPT Plus members right now. Subscribers have reported that the update includes the ability to upload files and work with them, as well as multimodal support. Basically, users won’t have to select modes like Browse with Bing from the GPT-4 dropdown — it will instead guess what they want based on context.

Google agrees to invest up to $2 billion in OpenAI rival Anthropic — from reuters.com by Krystal Hu

Oct 27 (Reuters) – Alphabet’s (GOOGL.O) Google has agreed to invest up to $2 billion in the artificial intelligence company Anthropic, a spokesperson for the startup said on Friday.

The company has invested $500 million upfront into the OpenAI rival and agreed to add $1.5 billion more over time, the spokesperson said.

Google is already an investor in Anthropic, and the fresh investment would underscore a ramp-up in its efforts to better compete with Microsoft (MSFT.O), a major backer of ChatGPT creator OpenAI, as Big Tech companies race to infuse AI into their applications.

 

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IBM Commits to Train 2 Million AI Learners for Free by 2026 [Lucariello] + “Teaching with AI is hard.” [Gulya]

On 10/16/2023, in Artificial Intelligence/Agents/LLMs/and Related, business, corporate / business world, emerging technologies, experimentation, IBM, personalized/customized learning, training / L&D, United States, vendors, workplace, by Daniel Christian

IBM Commits to Train 2 Million AI Learners for Free by 2026 — from campustechnology.com by Kate Lucariello

As part of the 2023 78th General Assembly of the United Nations, IBM announced it will train, for free, 2 million learners in artificial intelligence worldwide within the next three years, building on its existing commitment to skill 30 million learners by 2030.

The free program, called IBM SkillsBuild, will use its career-building platforms to partner with universities around the world to develop and make available new generative AI courses, with a significant focus on adult learners in underrepresented communities.

Goldman Sachs CIO is ‘anxious to see results’ from GenAI, but moving carefully — from venturebeat.com by Sharon Goldman

Consider Marco Argenti, CIO at Goldman Sachs — who told me in a recent interview that the leading global investment banking, securities and investment management firm has, nearly a year after ChatGPT was released, put exactly zero generative AI use cases into production. Instead, the company is “deeply into experimentation” and has a “high bar” of expectation before deployment. Certainly this is a highly-regulated company, so careful deployment must always be the norm. But Goldman Sachs is also far from new to implementing AI-driven tools — but is still treading slowly and carefully.

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The Learning & Employment Records (LER) Ecosystem Map

On 10/15/2023, in Bias | Diversity Equity & Inclusion (DE&I), business, career development, corporate / business world, corporate universities / corporate training, credentialing, Daniel S. Christian, future, future of higher education, higher education, ideas, innovation, instructional design, learner profiles, learning ecosystem, Learning from the Living [Class] Room, tools, training / L&D, vendors, vision/possibilities, workplace, by Daniel Christian

The Learning & Employment Records (LER) Ecosystem Map — with thanks to Melanie Booth on LinkedIn for this resource
Driving Opportunity and Equity Through Learning & Employment Records

The Learning & Employment Records (LER) Ecosystem Map

Imagine A World Where…

  • Everyone is empowered to access learning and earning opportunities based on what they know and can do, whether those skills and abilities are obtained through degrees, work experiences, or independent learning.
  • People can capture and communicate the skills and competencies they’ve acquired across their entire learning journey — from education, experience and service — with more ease, confidence, and clarity than a traditional resume.
  • Learners and earners control their information and can curate their skills to take advantage of every opportunity they are truly qualified to pursue, opening up pathways that help address systemic inequities.
  • Employers can tap into a wider talent pool and better match applicants to opportunities with verifiable credentials that represent skills, competencies, and achievements.

This is the world that we believe can be created by Learning and Employment Records (LERs), i.e. digital records of learning and work experiences that are linked to and controlled by learners and earners. An interoperable, well-governed LER ecosystem has the potential to transform the future of work so that it is more equitable, efficient, and effective for everyone involved— individuals, training and education providers, employers, and policymakers.

Also per Melanie Booth, see:

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60 Minutes interview with ‘the Godfather of AI’, Geoffrey Hinton [CBS, w/ reflections from Downes & Marcus] + other items re: AI in general

On 10/15/2023, in 21st century, 24x7x365 access, Adobe, Artificial Intelligence/Agents/LLMs/and Related, business, Canada, computer science, emerging technologies, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, intelligent systems, open courseware and systems, platforms, robotics, society, the downsides of how people use tech, tools, trends, UK, United States, vendors, by Daniel Christian

WHAT WAS GARY MARCUS THINKING, IN THAT INTERVIEW WITH GEOFF HINTON? — from linkedin.com by Stephen Downes

Background (emphasis DSC): 60 Minutes did an interview with ‘the Godfather of AI’, Geoffrey Hinton. In response, Gary Marcus wrote a column in which he inserted his own set of responses into the transcript, as though he were a panel participant. Neat idea. So, of course, I’m stealing it, and in what follows, I insert my own comments as I join the 60 Minutes panel with Geoffrey Hinton and Gary Marcus.

Usually I put everyone else’s text in italics, but for this post I’ll put it all in normal font, to keep the format consistent.

Godfather of Artificial Intelligence Geoffrey Hinton on the promise, risks of advanced AI

OpenAI’s Revenue Skyrockets to $1.3 Billion Annualized Rate — from maginative.com by Chris McKay
This means the company is generating over $100 million per month—a 30% increase from just this past summer.

OpenAI, the company behind the viral conversational AI ChatGPT, is experiencing explosive revenue growth. The Information reports that CEO Sam Altman told the staff this week that OpenAI’s revenue is now crossing $1.3 billion on an annualized basis. This means the company is generating over $100 million per month—a 30% increase from just this past summer.

Since the launch of a paid version of ChatGPT in February, OpenAI’s financial growth has been nothing short of meteoric. Additionally, in August, the company announced the launch of ChatGPT Enterprise, a commercial version of its popular conversational AI chatbot aimed at business users.

For comparison, OpenAI’s total revenue for all of 2022 was just $28 million. The launch of ChatGPT has turbocharged OpenAI’s business, positioning it as a bellwether for demand for generative AI.

From 10/13:

New ways to get inspired with generative AI in Search — from blog.google
We’re testing new ways to get more done right from Search, like the ability to generate imagery with AI or creating the first draft of something you need to write.

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Creating an ‘ecosystem’ to close the Black talent gap in technology [McKinsey]

On 10/14/2023, in Bias | Diversity Equity & Inclusion (DE&I), business, career development, colleges, communities of practice, community colleges, computer science, corporate / business world, corporate universities / corporate training, cost of getting a degree, culture, society, sociology, technology (general), training / L&D, United States, universities, vendors, vision/possibilities, by Daniel Christian

Creating an ‘ecosystem’ to close the Black talent gap in technology — from mckinsey.com (emphasis below from DSC)

Chris Perkins, associate partner, McKinsey: Promoting diversity in tech is more nuanced than driving traditional diversity initiatives. This is primarily because of the specialized hard and soft skills required to enter tech-oriented professions and succeed throughout their careers. Our research shows us that various actors, such as nonprofits, for-profits, government agencies, and educational institutions are approaching the problem in small pockets. Could we help catalyze an ecosystem with wraparound support across sectors?

To design this, we have to look at the full pipeline and its “leakage” points, from getting talent trained and in the door all the way up to the C-suite. These gaps are caused by lack of awareness and support in early childhood education through college, and lack of sponsorship and mentorship in early- and mid- career positions.

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Developing your media literacy — nice work Sister Sue Ellen!

On 10/09/2023, in Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), business, colleges, communications, community colleges, corporate / business world, culture, faculty, Google, higher education, human-computer interaction (HCI), journalism, liberal arts, media/film, Metaverse, Michigan, parents/guardians, privacy, productivity / tips and tricks, professional development, social media, society, United States, universities, Virtual Reality (VR) / worlds / learning, XR - extended reality, by Daniel Christian

Everyday Media Literacy: An Analog Guide for Your Digital Life — from routledge.com by Sue Ellen Christian

In this second edition, award-winning educator Sue Ellen Christian offers students an accessible and informed guide to how they can consume and create media intentionally and critically.

The textbook applies media literacy principles and critical thinking to the key issues facing young adults today, from analyzing and creating media messages to verifying information and understanding online privacy. Through discussion prompts, writing exercises, key terms, and links, readers are provided with a framework from which to critically consume and create media in their everyday lives. This new edition includes updates covering privacy aspects of AI, VR and the metaverse, and a new chapter on digital audiences, gaming, and the creative and often unpaid labor of social media and influencers. Chapters examine news literacy, online activism, digital inequality, social media and identity, and global media corporations, giving readers a nuanced understanding of the key concepts at the core of media literacy. Concise, creative, and curated, this book highlights the cultural, political, and economic dynamics of media in contemporary society, and how consumers can mindfully navigate their daily media use.

This textbook is perfect for students and educators of media literacy, journalism, and education looking to build their understanding in an engaging way.

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Is Your AI Model Going Off the Rails? There May Be an Insurance Policy for That [Lin]

On 10/06/2023, in Artificial Intelligence/Agents/LLMs/and Related, business, corporate / business world, emerging technologies, vendors, by Daniel Christian

Is Your AI Model Going Off the Rails? There May Be an Insurance Policy for That — from wsj.com by Belle Lin; via Brainyacts
As generative AI creates new risks for businesses, insurance companies sense an opportunity to cover the ways AI could go wrong

The many ways a generative artificial intelligence project can go off the rails poses an opportunity for insurance companies, even as those grim scenarios keep business technology executives up at night.

Taking a page from cybersecurity insurance, which saw an uptick in the wake of major breaches several years ago, insurance providers have started taking steps into the AI space by offering financial protection against models that fail.

Corporate technology leaders say such policies could help them address risk-management concerns from board members, chief executives and legal departments.

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“AI Meets Med School” [Coffey] + numerous other AI-related items (inside & outside of edu)

On 10/06/2023, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, biology, business, communities of practice, computer science, digital learning, digital photography, education, education technology, emerging technologies, experimentation, game-changing environment, global / globalization, ideas, innovation, intelligent systems, media/film, productivity / tips and tricks, programming, by Daniel Christian

AI Meets Med School— from insidehighered.com by Lauren Coffey
Adding to academia’s AI embrace, two institutions in the University of Texas system are jointly offering a medical degree paired with a master’s in artificial intelligence.

Doctor AI

The University of Texas at San Antonio has launched a dual-degree program combining medical school with a master’s in artificial intelligence.

Several universities across the nation have begun integrating AI into medical practice. Medical schools at the University of Florida, the University of Illinois, the University of Alabama at Birmingham and Stanford and Harvard Universities all offer variations of a certificate in AI in medicine that is largely geared toward existing professionals.

“I think schools are looking at, ‘How do we integrate and teach the uses of AI?’” Dr. Whelan said. “And in general, when there is an innovation, you want to integrate it into the curriculum at the right pace.”

Speaking of emerging technologies and med school, also see:

Though not necessarily edu-related, this was interesting to me and hopefully will be to some profs and/or students out there:

How to stop AI deepfakes from sinking society — and science — from nature.com by Nicola Jones; via The Neuron
Deceptive videos and images created using generative AI could sway elections, crash stock markets and ruin reputations. Researchers are developing methods to limit their harm.

Exploring the Impact of AI in Education with PowerSchool’s CEO & Chief Product Officer — from michaelbhorn.substack.com by Michael B. Horn

With just under 10 acquisitions in the last 5 years, PowerSchool has been active in transforming itself from a student information systems company to an integrated education company that works across the day and lifecycle of K–12 students and educators. What’s more, the company turned heads in June with its announcement that it was partnering with Microsoft to integrate AI into its PowerSchool Performance Matters and PowerSchool LearningNav products to empower educators in delivering transformative personalized-learning pathways for students.

AI Learning Design Workshop: The Trickiness of AI Bootcamps and the Digital Divide — from eliterate.usby Michael Feldstein

As readers of this series know, I’ve developed a six-session design/build workshop series for learning design teams to create an AI Learning Design Assistant (ALDA). In my last post in this series, I provided an elaborate ChatGPT prompt that can be used as a rapid prototype that everyone can try out and experiment with.1 In this post, I’d like to focus on how to address the challenges of AI literacy effectively and equitably.

Global AI Legislation Tracker— from iapp.org; via Tom Barrett

Countries worldwide are designing and implementing AI governance legislation commensurate to the velocity and variety of proliferating AI-powered technologies. Legislative efforts include the development of comprehensive legislation, focused legislation for specific use cases, and voluntary guidelines and standards.

This tracker identifies legislative policy and related developments in a subset of jurisdictions. It is not globally comprehensive, nor does it include all AI initiatives within each jurisdiction, given the rapid and widespread policymaking in this space. This tracker offers brief commentary on the wider AI context in specific jurisdictions, and lists index rankings provided by Tortoise Media, the first index to benchmark nations on their levels of investment, innovation and implementation of AI.

Diving Deep into AI: Navigating the L&D Landscape — from learningguild.com by Markus Bernhardt

The prospect of AI-powered, tailored, on-demand learning and performance support is exhilarating: It starts with traditional digital learning made into fully adaptive learning experiences, which would adjust to strengths and weaknesses for each individual learner. The possibilities extend all the way through to simulations and augmented reality, an environment to put into practice knowledge and skills, whether as individuals or working in a team simulation. The possibilities are immense.

Learning Lab | ChatGPT in Higher Education: Exploring Use Cases and Designing Prompts — from events.educause.edu; via Robert Gibson on LinkedIn

Part 1: October 16 | 3:00–4:30 p.m. ET
Part 2: October 19 | 3:00–4:30 p.m. ET
Part 3: October 26 | 3:00–4:30 p.m. ET
Part 4: October 30 | 3:00–4:30 p.m. ET

Mapping AI’s Role in Education: Pioneering the Path to the Future — from marketscale.com by Michael B. Horn, Jacob Klein, and Laurence Holt

Welcome to The Future of Education with Michael B. Horn. In this insightful episode, Michael gains perspective on mapping AI’s role in education from Jacob Klein, a Product Consultant at Oko Labs, and Laurence Holt, an Entrepreneur In Residence at the XQ Institute. Together, they peer into the burgeoning world of AI in education, analyzing its potential, risks, and roadmap for integrating it seamlessly into learning environments.

Ten Wild Ways People Are Using ChatGPT’s New Vision Feature — from newsweek.com by Meghan Roos; via Superhuman

Below are 10 creative ways ChatGPT users are making use of this new vision feature.

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“ChatGPT can now see, hear, and speak. Speak with ChatGPT and have it talk back.” [OpenAI] + other items re: AI in general

On 09/27/2023, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, Australia, bots, business, content development, aggregation, repositories, corporate / business world, drama/theater, innovation, intelligent systems, intelligent tutoring, Microsoft, multimedia, Natural Language Processing (NLP), platforms, tools, trends, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

ChatGPT can now see, hear, and speak — from openai.com
We are beginning to roll out new voice and image capabilities in ChatGPT. They offer a new, more intuitive type of interface by allowing you to have a voice conversation or show ChatGPT what you’re talking about.

Voice and image give you more ways to use ChatGPT in your life. Snap a picture of a landmark while traveling and have a live conversation about what’s interesting about it. When you’re home, snap pictures of your fridge and pantry to figure out what’s for dinner (and ask follow up questions for a step by step recipe). After dinner, help your child with a math problem by taking a photo, circling the problem set, and having it share hints with both of you.

We’re rolling out voice and images in ChatGPT to Plus and Enterprise users over the next two weeks. Voice is coming on iOS and Android (opt-in in your settings) and images will be available on all platforms.

OpenAI Seeks New Valuation of Up to $90 Billion in Sale of Existing Shares — from wsj.com (behind paywall)
Potential sale would value startup at roughly triple where it was set earlier this year

The World’s First AI Cinema Experience Starring YOU Is Open In NZ And Buzzy Doesn’t Cover It — from theedge.co.nz by Seth Gupwell
Allow me to manage your expectations.

Because it’s the first-ever on Earth, it’s hard to label what kind of entertainment Hypercinema is. While it’s marketed as a “live AI experience” that blends “theatre, film and digital technology”, Dr. Gregory made it clear that it’s not here to make movies and TV extinct.

Your face and personality are how HyperCinema sets itself apart from the art forms of old. You get 15 photos of your face taken from different angles, then answer a questionnaire – mine started by asking what my fave vegetable was and ended by demanding to know what I thought the biggest threat to humanity was. Deep stuff, but the questions are always changing, cos that’s how AI rolls.

All of this information is stored on your cube – a green, glowing accessory that you carry around for the whole experience and insert into different sockets to transfer your info onto whatever screen is in front of you. Upon inserting your cube, the “live AI experience” starts.

The AI has taken your photos and superimposed your face on a variety of made-up characters in different situations.

Announcing Microsoft Copilot, your everyday AI companion — from blogs.microsoft.com by Yusuf Mehdi

We are entering a new era of AI, one that is fundamentally changing how we relate to and benefit from technology. With the convergence of chat interfaces and large language models you can now ask for what you want in natural language and the technology is smart enough to answer, create it or take action. At Microsoft, we think about this as having a copilot to help navigate any task. We have been building AI-powered copilots into our most used and loved products – making coding more efficient with GitHub, transforming productivity at work with Microsoft 365, redefining search with Bing and Edge and delivering contextual value that works across your apps and PC with Windows.

Today we take the next step to unify these capabilities into a single experience we call Microsoft Copilot, your everyday AI companion. Copilot will uniquely incorporate the context and intelligence of the web, your work data and what you are doing in the moment on your PC to provide better assistance – with your privacy and security at the forefront.

DALL·E 3 understands significantly more nuance and detail than our previous systems, allowing you to easily translate your ideas into exceptionally accurate images.
DALL·E 3 is now in research preview, and will be available to ChatGPT Plus and Enterprise customers in October, via the API and in Labs later this fall.

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“Why Shaquille O’Neal led edtech startup Edsoma’s $2.5M seed round” + other AI-related items in our learning ecosystems

On 09/20/2023, in business, digital learning, education technology, emerging technologies, entrepreneurship, experimentation, reading, tools, vendors, by Daniel Christian

Why Shaquille O’Neal led edtech startup Edsoma’s $2.5M seed round — from techcrunch.com by Kirsten Korosec; via GSV

Edsoma is an app that uses an AI reading assistant to help people learn or improve their reading and communication.
…
For now, the company is targeting users in grades kindergarten to fourth grade based on the content that it has today. Wallgren noted that the Edsoma’s technology will work right through into university and he has ambitions to become the No. 1 literacy resource in the United States.

Outschool launches an AI-powered tool to help teachers write progress reports — from techcrunch.com by Lauren Forristal; via GSV

Outschool, the online learning platform that offers kid-friendly academic and interest-based classes, announced today the launch of its AI Teaching Assistant, a tool for tutors to generate progress reports for their students. The platform — mainly popular for its small group class offerings — also revealed that it’s venturing into one-on-one tutoring, putting it in direct competition with companies like Varsity Tutors, Tutor.com and Preply.

 

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School Guide to Student Financial Literacy: What to Teach and When [Phillips]

On 09/19/2023, in business, content development, aggregation, repositories, corporate / business world, curriculum, economics, education, homeschooling/homeschoolers, instructional design, K-12 related, marketplaces, workplace, by Daniel Christian

School Guide to Student Financial Literacy: What to Teach and When — from couponchief.com by Linda Phillips; with thanks to Karen Bell for this resource

It’s crucial – for individuals and the larger community – that students and young adults develop a solid foundation of personal finance knowledge, skills and habits in order to thrive. Practicing good money habits means the difference between long-term financial security and serious financial straits.

Financial literacy education is the responsibility of everyone, but most particularly parents and teachers. This guide focuses primarily on teaching financial literacy in elementary, middle and high schools. However, the concepts discussed below – and many of the resources listed – are also helpful for parents and others interested in promoting sound personal finance practices by kids and teens alike. Below you’ll find our suggestions for what concepts should be taught to kids from pre-k through grade 12, and the best times to introduce those concepts. You’ll also find an extensive list of some of the best resources – books, lesson plans, activities, videos, games and more – to supplement financial literacy education in the classroom.

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Reflections on “Next, The Future of Work is… Intersections” [Bolles]

On 09/18/2023, in Artificial Intelligence/Agents/LLMs/and Related, business, career development, colleges, communities of practice, community colleges, corporate / business world, Daniel S. Christian, entrepreneurship, experimentation, future, future of higher education, higher education, ideas, innovation, liberal arts, motivation, passions, productivity / tips and tricks, real-world assignments, society, student-related, universities, workplace, by Daniel Christian

Next, The Future of Work is… Intersections — from linkedin.com by Gary A. Bolles; via Roberto Ferraro

So much of the way that we think about education and work is organized into silos. Sure, that’s one way to ensure a depth of knowledge in a field and to encourage learners to develop mastery. But it also leads to domains with strict boundaries. Colleges are typically organized into school sub-domains, managed like fiefdoms, with strict rules for professors who can teach in different schools.

Yet it’s at the intersections of seemingly-disparate domains where breakthrough innovation can occur.

Maybe intersections bring a greater chance of future work opportunity, because that young person can increase their focus in one arena or another as they discover new options for work — and because this is what meaningful work in the future is going to look like.

From DSC:
This posting strikes me as an endorsement for interdisciplinary degrees. I agree with much of this. It’s just hard to find the right combination of disciplines. But I supposed that depends upon the individual student and what he/she is passionate or curious about.

Speaking of the future of work, also see:

Centaurs and Cyborgs on the Jagged Frontier — from oneusefulthing.org by Ethan Mollick
I think we have an answer on whether AIs will reshape work…

A lot of people have been asking if AI is really a big deal for the future of work. We have a new paper that strongly suggests the answer is YES.
.

Consultants using AI finished 12.2% more tasks on average, completed tasks 25.1% more quickly, and produced 40% higher quality results than those without. Those are some very big impacts. Now, let’s add in the nuance.

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Solid idea from Brandon Busteed: “Create externship programs for faculty.”

On 09/12/2023, in adjunct faculty, business, career development, collaboration, colleges, community colleges, corporate / business world, corporate universities / corporate training, Daniel S. Christian, experimentation, faculty, higher education, professional development, training / L&D, United States, universities, by Daniel Christian

An excerpt from ‘The Magnificent Seven’ posting from Brandon Busteed on LinkedIn:

6. Create externship programs for faculty. Many college and university faculty have never worked outside of academia. Given a chance to be exposed to modern workplaces and work challenges, faculty will find innovative and creative ways to weave more work-integrated learning into their curriculum.

From DSC:
This is a great idea — thanks Brandon!

I might add another couple of thoughts here as well:

  • And/or treat your Adjunct Faculty Members much better as well!
  • And/or work with more L&D Departments at local companies (i.e., to develop closer, more beneficial/WIN-WIN collaborations).
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Are your students prepared for active learning? You can help them! [Mihai]

On 09/12/2023, in active learning, adjunct faculty, business, collaboration, colleges, community colleges, corporate / business world, Daniel S. Christian, Europe, faculty, higher education, homeschooling/homeschoolers, instructional design, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, liberal arts, pedagogy, project-based learning, teaching & learning, universities, by Daniel Christian

Are your students prepared for active learning? You can help them! — from The Educationalist at educationalist.substack.com by Alexandra Mihai

What does active learning require from students?
There is no secret that PBL and all other active learning approaches are much more demanding from students compared to traditional methods, mainly in terms of skills and attitudes towards learning. Here are some of the aspects where students, especially when first faced to active learning, seem to struggle:

  • Formulating own learning goals and following through with independent study. While in traditional teaching the learning goals are given to students, in PBL (or at least in some of its purest variants), they need to come up with their own, for each problem they are solving. This requires understanding the problem well but also a certain frame of mind where one can assess what is necessary to solve it and make a plan of how to go about it (independently and as a group). All these seemingly easy steps are often new to students and something they intrinsically expect from us as educators.

From DSC:
The above excerpt re: formulating one’s own learning goals reminded me of project management and learning how to be a project manager.

It reminded me of a project that I was assigned back at Kraft (actually Kraft General Foods at the time).  It was an online-based directory of everyone in the company at the time. When it was given to me, several questions arose in my mind:
  • Where do I start?
  • How do I even organize this project?
  • What is the list of to-do’s?
  • Who will I need to work with?

Luckily I had a mentor/guide who helped me get going and an excellent contact with the vendor who educated me and helped me get the ball rolling. 

I’ll end with another quote and a brief comment:

Not being afraid of mistakes and learning from them.
The education system, at all stages, still penalises mistakes, often with long term consequences. So it’s no wonder students are afraid of making mistakes…
From DSC:
How true.
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“A.I.’s un-learning problem” [Pastis] + numerous other items re: AI

On 09/06/2023, in 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, bots, business, corporate / business world, education technology, emerging technologies, future, platforms, productivity / tips and tricks, psychology, the downsides of how people use tech, training / L&D, United States, vendors, videoconferencing, workplace, by Daniel Christian

The Prompt #14: Your Guide to Custom Instructions — from noisemedia.ai by Alex Banks

Whilst we typically cover a single ‘prompt’ to use with ChatGPT, today we’re exploring a new feature now available to everyone: custom instructions.

You provide specific directions for ChatGPT leading to greater control of the output. It’s all about guiding the AI to get the responses you really want.

To get started:
Log into ChatGPT ? Click on your name/email bottom left corner ? select ‘Custom instructions’

Meet Zoom AI Companion, your new AI assistant! Unlock the benefits with a paid Zoom account — from blog.zoom.us by Smita Hashim

We’re excited to introduce you to AI Companion (formerly Zoom IQ), your new generative AI assistant across the Zoom platform. AI Companion empowers individuals by helping them be more productive, connect and collaborate with teammates, and improve their skills.
…
Envision being able to interact with AI Companion through a conversational interface and ask for help on a whole range of tasks, similarly to how you would with a real assistant. You’ll be able to ask it to help prepare for your upcoming meeting, get a consolidated summary of prior Zoom meetings and relevant chat threads, and even find relevant documents and tickets from connected third-party applications with your permission.

From DSC:
“You can ask AI Companion to catch you up on what you missed during a meeting in progress.”

And what if some key details were missed? Should you rely on this? I’d treat this with care/caution myself.

A.I.’s un-learning problem: Researchers say it’s virtually impossible to make an A.I. model ‘forget’ the things it learns from private user data — from fortune.com by Stephen Pastis (behind paywall)

That’s because, as it turns out, it’s nearly impossible to remove a user’s data from a trained A.I. model without resetting the model and forfeiting the extensive money and effort put into training it. To use a human analogy, once an A.I. has “seen” something, there is no easy way to tell the model to “forget” what it saw. And deleting the model entirely is also surprisingly difficult.

This represents one of the thorniest, unresolved, challenges of our incipient artificial intelligence era, alongside issues like A.I. “hallucinations” and the difficulties of explaining certain A.I. outputs. 

More companies see ChatGPT training as a hot job perk for office workers — from cnbc.com by Mikaela Cohen

Key points:

  • Workplaces filled with artificial intelligence are closer to becoming a reality, making it essential that workers know how to use generative AI.
  • Offering specific AI chatbot training to current employees could be your next best talent retention tactic.
  • 90% of business leaders see ChatGPT as a beneficial skill in job applicants, according to a report from career site Resume Builder.

OpenAI Plugs ChatGPT Into Canva to Sharpen Its Competitive Edge in AI — from decrypt.co by Jose Antonio Lanz
Now ChatGPT Plus users can “talk” to Canva directly from OpenAI’s bot, making their workflow easier.

This strategic move aims to make the process of creating visuals such as logos, banners, and more, even more simple for businesses and entrepreneurs.

This latest integration could improve the way users generate visuals by offering a streamlined and user-friendly approach to digital design.

From DSC:
This Tweet addresses a likely component of our future learning ecosystems:

Large language models aren’t people. Let’s stop testing them as if they were. — from technologyreview.com by Will Douglas Heaven
With hopes and fears about this technology running wild, it’s time to agree on what it can and can’t do.

That’s why a growing number of researchers—computer scientists, cognitive scientists, neuroscientists, linguists—want to overhaul the way they are assessed, calling for more rigorous and exhaustive evaluation. Some think that the practice of scoring machines on human tests is wrongheaded, period, and should be ditched.

“There’s a lot of anthropomorphizing going on,” she says. “And that’s kind of coloring the way that we think about these systems and how we test them.”

“There is a long history of developing methods to test the human mind,” says Laura Weidinger, a senior research scientist at Google DeepMind. “With large language models producing text that seems so human-like, it is tempting to assume that human psychology tests will be useful for evaluating them. But that’s not true: human psychology tests rely on many assumptions that may not hold for large language models.”

We Analyzed Millions of ChatGPT User Sessions: Visits are Down 29% since May, Programming Assistance is 30% of Use — from sparktoro.com by Rand Fishkin

In concert with the fine folks at Datos, whose opt-in, anonymized panel of 20M devices (desktop and mobile, covering 200+ countries) provides outstanding insight into what real people are doing on the web, we undertook a challenging project to answer at least some of the mystery surrounding ChatGPT.

Crypto in ‘arms race’ against AI-powered scams — Quantstamp co-founder — from cointelegraph.com by Tom Mitchelhill
Quantstamp’s Richard Ma explained that the coming surge in sophisticated AI phishing scams could pose an existential threat to crypto organizations.

With the field of artificial intelligence evolving at near breakneck speed, scammers now have access to tools that can help them execute highly sophisticated attacks en masse, warns the co-founder of Web3 security firm Quantstamp.

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