Also relevant/see:

 

You no longer need a college degree to work at these 7 companies — from businessinsider.com by Ethan Dodd

Key points:

  • College-degree requirements have locked out millions of Americans from good-paying jobs.
  • Persistent labor shortages are causing more and more companies to drop degree requirements.
  • These seven companies in tech, finance, and aviation are leading the charge.

 

 

Higher Learning Commission's 2023 Trends

 

The Ultimate Compilation of 101 GPT-4 L&D Prompts — from innovationlounge.notion.site

Examples:

  1. Design a personalized learning plan for a new employee joining a software development team, including onboarding, skill assessment, and ongoing development.
  2. Describe a strategy for implementing a mentorship program within an organization to improve employee development and retention.
  3. Suggest a framework for evaluating the effectiveness of a company’s existing learning and development programs.
  4. Propose a gamification strategy for engaging employees in a company-wide training program on diversity and inclusion.
  5. Identify potential barriers to effective remote learning and provide recommendations for overcoming them in a virtual training environment.
  6. Develop a plan for a “lunch-and-learn” series to encourage cross-functional collaboration and skill-sharing among employees.
  7. Recommend a variety of cost-effective resources (books, online courses, webinars, etc.) for training employees in project management skills.
  8. Design a three-month training program for a sales team to improve their negotiation and closing skills, including specific activities and milestones.
  9. Outline a strategy for integrating microlearning techniques into an organization’s existing training approach to boost knowledge retention and engagement.
  10. Suggest an approach for identifying and addressing skills gaps within a team or department, including assessment tools and targeted training resources.
 

60% of Higher Education Leaders Say Continuing Education is Not Well-Integrated into Institutional Portfolio Offerings — from finance.yahoo.com
Despite Belief that CE Programming Positively Affects Enrollments in Traditional Programming, CE Units Remain Under-Resourced

Excerpt:

TORONTO, March 22, 2023 /PRNewswire-PRWeb/ — While 71% of senior leaders within higher education institutions support scale and growth of continuing education (CE), more than half (57%) feel that their CE units are understaffed to execute on institutional goals. This is according to the 2023 State of Continuing Education report. Published by higher education engagement platform leader Modern Campus, in partnership with the Canadian Association for University Continuing Education (CAUCE), The EvoLLLution, and the University Professional and Continuing Education Association (UPCEA), the study explores professional, continuing, and online (PCO) unit program offerings, institutional support and capabilities, perceptions of the competitive landscape, and continuing education collaboration and integration within the larger institution.

“The future higher education institution is rooted in CE, but delivering on that promise requires both strategic and operational support from the institution,” said Amrit Ahluwalia, senior director of content and strategic insights at Modern Campus and editor-in-chief of The EvoLLLution. “It is our sincere belief that the findings of this study will enable CE professionals to advocate for greater resources and allow them to be seen for the critical functions that their portfolio plays for institutions and learners alike.”

 

Nvidia will bring AI to every industry, says CEO Jensen Huang in GTC keynote: ‘We are at the iPhone moment of AI’ — from venturebeat.com by Sharon Goldman

Excerpt:

As Nvidia’s annual GTC conference gets underway, founder and CEO Jensen Huang, in his characteristic leather jacket and standing in front of a vertical green wall at Nvidia headquarters in Santa Clara, California, delivered a highly-anticipated keynote that focused almost entirely on AI. His presentation announced partnerships with Google, Microsoft and Oracle, among others, to bring new AI, simulation and collaboration capabilities to “every industry.”

Introducing Mozilla.ai: Investing in trustworthy AI — from blog.mozilla.org by Mark Surman
We’re committing $30M to build Mozilla.ai: A startup — and a community — building a trustworthy, independent, and open-source AI ecosystem.

Excerpt (emphasis DSC):

We’re only three months into 2023, and it’s already clear what one of the biggest stories of the year is: AI. AI has seized the public’s attention like Netscape did in 1994, and the iPhone did in 2007.

New tools like Stable Diffusion and the just-released GPT-4 are reshaping not just how we think about the internet, but also communication and creativity and society at large. Meanwhile, relatively older AI tools like the recommendation engines that power YouTube, TikTok and other social apps are growing even more powerful — and continuing to influence billions of lives.

This new wave of AI has generated excitement, but also significant apprehension. We aren’t just wondering What’s possible? and How can people benefit? We’re also wondering What could go wrong? and How can we address it? Two decades of social media, smartphones and their consequences have made us leery.    

ChatGPT plugins — from openai.com

Excerpt:

Users have been asking for plugins since we launched ChatGPT (and many developers are experimenting with similar ideas) because they unlock a vast range of possible use cases. We’re starting with a small set of users and are planning to gradually roll out larger-scale access as we learn more (for plugin developers, ChatGPT users, and after an alpha period, API users who would like to integrate plugins into their products). We’re excited to build a community shaping the future of the human–AI interaction paradigm.



Bots like ChatGPT aren’t sentient. Why do we insist on making them seem like they are? — from cbc.ca by Matt Meuse
‘There’s no secret homunculus inside the system that’s understanding what you’re talking about’

Excerpt:

LLMs like ChatGPT are trained on massive troves of text, which they use to assemble responses to questions by analyzing and predicting what words could most plausibly come next based on the context of other words. One way to think of it, as Marcus has memorably described it, is “auto-complete on steroids.”

Marcus says it’s important to understand that even though the results sound human, these systems don’t “understand” the words or the concepts behind them in any meaningful way. But because the results are so convincing, that can be easy to forget.

“We’re doing a kind of anthropomorphization … where we’re attributing some kind of animacy and life and intelligence there that isn’t really,” he said.


10 gifts we unboxed at Canva Create — from canva.com
Earlier this week we dropped 10 unopened gifts onto the Canva homepage of 125 million people across the globe. Today, we unwrapped them on the stage at Canva Create.


Google Bard Plagiarized Our Article, Then Apologized When Caught — from tomshardware.com by Avram Piltch
The chatbot implied that it had conducted its own CPU tests.

 

Explore Breakthroughs in AI, Accelerated Computing, and Beyond at NVIDIA's GTC -- keynote was held on March 21 2023

Explore Breakthroughs in AI, Accelerated Computing, and Beyond at GTC — from nvidia.com
The Conference for the Era of AI and the Metaverse

 


Addendums on 3/22/23:

Generative AI for Enterprises — from nvidia.com
Custom-built for a new era of innovation and automation.

Excerpt:

Impacting virtually every industry, generative AI unlocks a new frontier of opportunities—for knowledge and creative workers—to solve today’s most important challenges. NVIDIA is powering generative AI through an impressive suite of cloud services, pre-trained foundation models, as well as cutting-edge frameworks, optimized inference engines, and APIs to bring intelligence to your enterprise applications.

NVIDIA AI Foundations is a set of cloud services that advance enterprise-level generative AI and enable customization across use cases in areas such as text (NVIDIA NeMo™), visual content (NVIDIA Picasso), and biology (NVIDIA BioNeMo™). Unleash the full potential with NeMo, Picasso, and BioNeMo cloud services, powered by NVIDIA DGX™ Cloud—the AI supercomputer.

 

Six Important Disciplines for Using AI in Learning & Development — from linkedin.com by Josh Cavalier

Excerpts (emphasis DSC):

In practice, L&D professionals must responsibly use AI-based tools. AI outputs that introduce bias or falsehoods may adversely affect the learning process of individual associates as well as the company’s overall efficiency. A human must review all content before being implemented in a learning solution.

AI will revolutionize corporate learning and development because of the ability to analyze and process large amounts of data. These capabilities will enable learners to acquire knowledge and skills more efficiently while providing personalized learning pathways customized to their current skill levels and goals.

For example, AI-powered chatbots can provide immediate feedback to front-line sales looking for specific client solutions or trying to learn about new products. By fine-tuning models, AI can ingest vendor opportunities and dynamically priced products at scale, allowing a sales team to focus on data-driven solutions for their customers.

The creation of educational media will be automated through generative AI, including training videos, podcasts, and, eventually, eLearning courses. This new reality will level the playing field for instructional designers needing more media creation skills, ultimately allowing Learning & Development to create personalized, immersive learning experiences representing the entire learning journey. 


Also relevant/see:

How artificial intelligence can support knowledge management in organizations — from realkm.com by Bruce Boyes

Examples of use cases:

  • Forecast sales probabilities
  • Discover organization inefficiencies by analyzing CRM records
  • Organize and summarize legal precedents relevant to a new case
  • Retrieve dispersed nuggets of information related to a troubleshooting situation
  • Facilitate feedback and peer review on communication systems (e.g., Slack)
  • Facilitate real-time smart sharing between marketing channels and sales pipelines
  • Find and apply question-answer pairs in online manuals to manage service knowledge
  • Provide more human-centered and accessible applications of knowledge through chatbots

 

What’s It Like to Leave the Classroom for a Job in Edtech? — from edsurge.com by Nadia Tamez-Robledo

Excerpt:

Our recent analysis of teacher representation in edtech leadership revealed that former educators held a variety of top roles in the companies we sampled, heading teams that handled pedagogy, curriculum, product, marketing and sales.

Former educators told us they had moved on to become UX designers, part of sales teams and founders of their own edtech companies.

Transitioning to edtech would have been much harder about five years ago, she believes, because there weren’t as many resources available to help teachers get started. Now job seekers can turn to podcasts or TikTok’s #transitioningteachers community for advice on approaching the edtech job search.

 

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

Excerpt:

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

Also relevant/see:

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

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

 

Industry insight: Blockchaining to track current and potential employees’ skills — from chieflearningofficer.com by Tanya Boyd

Excerpts:

A learner who is aware of their unique strengths and development needs, as well as their preferred approach for gaining new skills, is often able to find the learning opportunities that they need more effectively and efficiently.

A global language for skills
While we might be tempted to focus within, looking for ways to address our own company’s talent challenges in isolation, this common concern invites a more global solution. We would all be better off if we could build a global language for skills. It’s at least one step toward achieving global processes for evaluating and developing them.

The top three challenges with skills and skill-based practices, as cited by McKinsey’s 2021 state of hiring survey, are: the ability to validate skills, sourcing job seekers with the right skills and scaling this approach.

Having a validated “chain” of skills for an employee helps not only in the selection process, but also as L&D departments seek to personalize learning. Blockchain creates a more valid approach to personalizing learning based on each employee’s competencies and skills gathered across their career, rather than just the skills they are demonstrating in their current organization and role.

 

As Colleges Focus on Quality in Online Learning, Advocates Ask: What About In-Person Courses? — from chronicle.com by Taylor Swaak

Excerpt (emphasis DSC):

As colleges’ online catalogs grow, so too has the push to develop standards of quality for those courses. But are in-person classes getting the same attention?

If you ask many online-education advocates, the answer is “no.” And the solution, many say, is for colleges to adopt standards and policies that set consistent expectations for quality across all courses, whether they’re remote or in a classroom.

While decades of research and the pandemic-spurred expansion of online learning have helped demystify it, and build confidence in its efficacy, these advocates say the misconception lingers that remote education is inherently lower in quality than instruction in the classroom. And that stigma, they say, puts a magnifying glass to online ed, while largely leaving in-person classes to business as usual.

The focus instead, Simunich said, should be on a big-picture question: Is this a high-quality learning experience for students?

From DSC:
These are great points. I find them to have been very true.

Reflections of a College Adjunct After 31 Years — from insidehighered.com by Stephen Werner
We’ve proven over and over that there’s enough work to give many of us full-time positions, writes Stephen Werner, but things are moving in the opposite direction.

Four Pieces of Advice (emphasis DSC)
In closing, I offer the following recommendations:

  • See the big picture. We adjuncts are workers in the gig economy. We are part of the new normal where so many jobs are on-demand, temporary work, with few or no benefits and no long-term security. Even with our M.A.s and Ph.D.s, we have much in common with workers at all levels, including the lowest-skilled workers.
  • Make a serious effort to meet and talk to other adjuncts.
  • Unionize! Organize with your fellow adjuncts! 
  • Start saving for retirement.

The fact is that college and universities are totally dependent on us. They know it. We adjuncts need to act like we know it, too. We need to overcome our isolation and work together to have a voice.

How Mega-Universities Manage to Teach Hundreds of Thousands of Students — from edsurge.com by Robert Ubell (Columnist)

Excerpt:

One key difference at SNHU is how it hires faculty, relying on an academic army of about 8,000 adjuncts who earn $2,000 per semester for teaching an undergrad course and $2,500 for a grad course. Reliance on adjuncts, especially in online instruction, is a national trend. Today, gig faculty occupy about three-quarters of all U.S. college instructors. But Southern New Hampshire and other online operations depend even more on contingent labor than most of their traditional peers.

For colleges to depend entirely on an Uber-style instructional workforce may be financially prudent, but I argue it’s academically risky, with little continuity and no permanent faculty. It’s also exploitative, with instructors ending up in precarious work arrangements without living wages and benefits.

First Person: Why college matters for people serving extreme sentences — from opencampusmedia.org by Rahsaan “New York” Thomas

Excerpt:

For incarcerated people, the quality or success of a college program is often measured by recidivism rates. By that standard, Mount Tamalpais, formerly the Prison University Project, is a success. Its students had a recidivism rate of 17 percent compared to the 65 percent recidivism rate for the California Department of Corrections and Rehabilitation as a whole, according to a 2011 program evaluation.

Personally, I see education as the key to my success from behind bars. After getting sentenced to a term beyond my life expectancy I needed a path to redemption in the eyes of my mother, my sons, and society that didn’t involve going home. I came up with becoming a writer because my voice was the one part of me that was still free.

 

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

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

The pace of technological advancement is booming aggressively and conversations around ChatGPT snatching away jobs are becoming more and more frequent. The future of work is definitely going to change and that makes it clear that the approach toward education is also demanding a big shift.

A report from Dell suggests that 85% of jobs that will be around in 2030 do not exist yet. The fact becomes important as it showcases that the jobs are not going to vanish, they will just change and most of the jobs by 2030 will be new.

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

Excerpt:

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

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

The results of this nonscientific canvassing:

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

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

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

Excerpts:

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

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

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

Excerpt:

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

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

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

How do I know that? Because:


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

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

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

 

Employment of people with disabilities surges to a record high amid remote work policies — from thenationalnews.com; with thanks to Robert Gibson on LinkedIn for this resource
Employment among disabled people in the US rose to 21.3% in 2022

Excerpt:

Daily tasks such as commuting and navigating an office space can be difficult for people depending on their disabilities. As companies adopted remote and hybrid work arrangements, more disabled people applied for and landed jobs — sometimes for the first time in years.

The recent push by companies urging workers to return to the office may threaten the gains made by disabled people, who comprise about 12 per cent of the population, according to the bureau. A report by the consulting firm McKinsey and Company published last June estimated that 35 per cent of companies offered a fully remote option.

Overall, disabled people are still less likely to be employed than their counterparts who don’t have disabilities, and they are twice as likely to be employed part-time, the BLS report said. They’re also more likely to be self-employed.

 

 
© 2024 | Daniel Christian