workplace - Learning Ecosystems

Six Important Disciplines for Using AI in Learning & Development [Cavalier]

On 03/16/2023, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, experimentation, future, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, learning ecosystem, Learning Experience Design, multimedia, training / L&D, workplace, by Daniel Christian

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? [Tamez-Robledo]

On 03/13/2023, in career development, change, education technology, instructional design, teachers, vendors, workplace, by Daniel Christian

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 + other AI-related items

On 03/11/2023, in Africa, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, Australia, Canada, career development, change, Europe, global / globalization, India, society, UK, United States, workplace, by Daniel Christian

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 [Boyd]

On 03/06/2023, in Blockchain, career development, global / globalization, learner profiles, learning ecosystem, Learning from the Living [Class] Room, platforms, skills, society, training / L&D, vision/possibilities, workplace, by Daniel Christian

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.

Where are the quality concerns for face-to-face courses, the (mis)use of adjunct faculty members, + other higher education-related items

On 03/06/2023, in adjunct faculty, career development, colleges, community colleges, face-to-face, faculty, higher education, online learning, pathways, United States, universities, workplace, by Daniel Christian

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 [thenationalnews.com]

On 03/02/2023, in Bias | Diversity Equity & Inclusion (DE&I), business, career development, corporate / business world, society, sociology, special needs, workplace, by Daniel Christian

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.

Apprenticeship programs are becoming more popular as an alternative to college [Dickler]

On 03/01/2023, in Alternatives, career development, vocational / trades, workplace, by Daniel Christian

Apprenticeship programs are becoming more popular as an alternative to college — from cnbc.com by Jessica Dickler

Key Points

Daniel Swan started as an apprentice and now works full time as an HVAC technician in California.
Apprenticeship programs are becoming more popular as an alternative to college.
Over a decade, the number of registered apprentices rose 64%, according to the latest data from the U.S. Department of Labor.

The Top 10 In-Demand Skills For 2030 [Marr]

On 03/01/2023, in 21st century, business, career development, communications, corporate / business world, creativity, data related items, Emotion, leadership, lifelong learning, skills, web-based collaboration, workplace, by Daniel Christian

The Top 10 In-Demand Skills For 2030 — from forbes.com by Bernard Marr

Excerpt:

Digital Literacy
According to the WEF, more than half of the jobs that we do in 2030 will require an understanding of digital technology. This means that people who are able to effectively use digital tools and platforms to solve problems and create value will be increasingly in demand. I would go as far as saying that those who lack digital literacy will be at a severe disadvantage when it comes to competing for jobs and business opportunities by 2030, whatever career path they decide to follow.

Planning for AGI and beyond — from OpenAI.org by Sam Altman

Excerpt:

There are several things we think are important to do now to prepare for AGI.

First, as we create successively more powerful systems, we want to deploy them and gain experience with operating them in the real world. We believe this is the best way to carefully steward AGI into existence—a gradual transition to a world with AGI is better than a sudden one. We expect powerful AI to make the rate of progress in the world much faster, and we think it’s better to adjust to this incrementally.

A gradual transition gives people, policymakers, and institutions time to understand what’s happening, personally experience the benefits and downsides of these systems, adapt our economy, and to put regulation in place. It also allows for society and AI to co-evolve, and for people collectively to figure out what they want while the stakes are relatively low.

*AGI stands for Artificial General Intelligence

Donald Clark’s recent thoughts regarding how ChatGPT is and will impact the Learning & Development world

On 02/28/2023, in 21st century, 24x7x365 access, adult learning, business, change, corporate / business world, corporate universities / corporate training, ideas, innovation, instructional design, intelligent systems, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, training / L&D, workplace, by Daniel Christian

Donald Clark’s recent thoughts regarding how ChatGPT is and will impact the Learning & Development world — from linkedin.com by Donald Clark

Excerpts:

Fascinating chat with three people heading up L&D in a major international company. AI has led them to completely re-evaluate their strategy. Key concepts were performance, process and data. What I liked was their focus on that oft-quoted issue of aligning L&D with the business goals – unlike most, they really meant it.

The technology that puts that in the hands of learners has arrived. Performance support will be a teacher or trainer at your fingertips.

We also talked about prompting, the need to see it as ‘CHAT’gpt, an iterative process, where you need to understand how to speak to the tech. It’s a bit like speaking to an alien from space, as it has no comprehension or consciousness but it is still competent and smart. We have put together 100 prompt tips for learning professionals and taking it out on the road soon. All good in the hood.

Also from Donald Clark, see:

OpenAI releases massive wave of innovation — from donaldclarkplanb.blogspot.com

Excerpt:

With LLMs, OpenAI’s ChatGPT, based on GPT 3.5, started a race where:

AI is integrated into mainstream tools like Teams
Larger LLMs are being built
LLMs are changing ‘search’
LLMs are being used on a global scale in real businesses
Real businesses are being built on the back of LLMs
LLMs as part of ensembes of other tools are being researched to solve accuracy, updatability & provenance issues
Open, transparent LLMs (Bloom) are being built

Eliminate a Degree of Difficulty: Hire for Skills, Not School [Lischwe, Noether, Gordian, D’Arcy, & Barfield]

On 02/24/2023, in business, career development, change, corporate / business world, skills, vision/possibilities, workplace, by Daniel Christian

Eliminate a Degree of Difficulty: Hire for Skills, Not School — from bain.com by Joe Lischwe, Alex Noether, Maria Gordian, Andrea D’Arcy, and Jon Barfield; resource via GSV
Too many jobs require college degrees, locking out qualified Black talent. Skills-first hiring helps companies rethink what really matters.

At a Glance

Black Americans are 30% less likely than white Americans to have jobs that pay family-sustaining wages—a key factor in the income and family wealth gaps between Black and white Americans.
One key barrier to Black talent obtaining these jobs is that 70% to 80% require a four-year college degree, which 75% of Black Americans do not have.
Requiring four-year degrees is not the only way to assess talent or identify the best candidates, and skills-first hiring can mitigate this credentials barrier, making the process fairer for all job applicants.
The business case is strong: Skills-first hiring criteria are 5 times more predictive of future job performance than educational background and 2.5 times more predictive than work experience.
While the transition to skills-first hiring—particularly the shift in culture and mindset it entails—is challenging, there are proven steps companies can take to make the switch successfully, as illustrated by the example of companies in the OneTen coalition such as Merck.

What ChatGPT And Generative AI Mean For Your Business? [Press]

On 02/24/2023, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, copyright/ownership/NFTs, corporate / business world, emerging technologies, innovation, legislatures / government / legal, workplace, by Daniel Christian

What ChatGPT And Generative AI Mean For Your Business? — from forbes.com by Gil Press [behind a paywall]

Excerpt:

Challenges abound with deploying AI in general but when it comes to generative AI, businesses face a “labyrinth of problems,” according to Forrester: Generating coherent nonsense; recreating biases; vulnerability to new security challenges and attacks; trust, reliability, copyright and intellectual property issues. “Any fair discussion of the value of adopting generative AI,” says Forrester, “must acknowledge its considerable costs. Training and re-training models takes time and money, and the GPUs required to run these workloads remain expensive.”

As is always the case with the latest and greatest enterprise technologies, tools and techniques, the answer to “what’s to be done?” boils down to one word: Learn. Study what your peers have been doing in recent years with generic AI. A good starting point is the just-published All-in On AI: How Smart Companies Win Big with Artificial Intelligence.

Also relevant/see:

Generative AI is here, along with critical legal implications — from venturebeat.com by Nathaniel Bach, Eric Bergner, and Andrea Del-Carmen Gonzalez

Excerpt:

With that promise comes a number of legal implications. For example, what rights and permissions are implicated when a GAI user creates an expressive work based on inputs involving a celebrity’s name, a brand, artwork, and potentially obscene, defamatory or harassing material? What might the creator do with such a work, and how might such use impact the creator’s own legal rights and the rights of others?

This article considers questions like these and the existing legal frameworks relevant to GAI stakeholders.

7 ways to think and act strategically in your organisation about AI in learning [Clark]

On 02/23/2023, in 21st century, 24x7x365 access, adult learning, business, corporate / business world, corporate universities / corporate training, productivity / tips and tricks, professional development, strategy, training / L&D, workplace, by Daniel Christian

7 ways to think and act strategically in your organisation about AI in learning — from donaldclarkplanb.blogspot.com by Donald Clark

Excerpt:

Above all, you need to see it strategically. There is no imperative to use this tech but there is an imperative to consider its use. Sure, it’s OK to say no but you should have a reason for saying no, as this is the technology of the age. I’ve been saying this in three books, lots of articles and a ton of keynotes for 7 years and it is now happening. This is the new internet, only smarter.

Learning Ecosystems

Six Important Disciplines for Using AI in Learning & Development [Cavalier]

What’s It Like to Leave the Classroom for a Job in Edtech? [Tamez-Robledo]

These 20 jobs are the most “exposed” to AI, ChatGPT, researchers say + other AI-related items

Industry insight: Blockchaining to track current and potential employees’ skills [Boyd]

Where are the quality concerns for face-to-face courses, the (mis)use of adjunct faculty members, + other higher education-related items

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

Employment of people with disabilities surges to a record high amid remote work policies [thenationalnews.com]

Apprenticeship programs are becoming more popular as an alternative to college [Dickler]

Planning for AGI and beyond [Sam Altman out at OpenAI.org]

Donald Clark’s recent thoughts regarding how ChatGPT is and will impact the Learning & Development world

Eliminate a Degree of Difficulty: Hire for Skills, Not School [Lischwe, Noether, Gordian, D’Arcy, & Barfield]

What ChatGPT And Generative AI Mean For Your Business? [Press]

7 ways to think and act strategically in your organisation about AI in learning [Clark]

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