How tech will change the way we work by 2030 — from techradar.com by Rob Lamb
Everyday jobs will be augmented by technology

Technologies like Artificial Intelligence (AI), Machine Learning (ML) and Blockchain will have a significant impact on work in the next decade and beyond. But if you believe the sci-fi hype or get bogged down in the technology, it can be difficult to relate them to today’s workplaces and jobs.

Excerpt:

Here are three everyday examples of their potential, expressed in terms of the business challenge they are addressing or how consumers will experience them. I don’t mean to over simplify – these are powerful tools – but I think their potential shines through best when they’re expressed in their simplest terms.

From DSC:
I have an issue with one of their examples that involves positioning AI as the savior of the hiring process:

The problem with this process isn’t just that it’s hugely time-consuming, it’s that all kinds of unconscious biases can creep in, potentially even into the job advert. These issues can be eradicated with the use of AI, which can vet ads for gendered language, sort through applicants and pick out the most suitable ones in a fraction of the time it would take an HR professional or any other human being.

AI can be biased as well — just like humans. Lamb recognizes this as well when he states that “Provided the algorithms are written correctly, AI will be key to organisations addressing issues around diversity and inclusion in the workplace.” But that’s a big IF in my mind. So far, it appears that the track record isn’t great in this area. Also, as Cathy O’Neil asserts: “Algorithms are opinions embedded in code.”

AI may not be as adept as a skilled HR professional in seeing the possibilities for someone. Can person A’s existing skillsets be leveraged in this new/other position?

 

The Story is in the Structure: A Multi-Case Study of Instructional Design Teams — from the Online Learning Consortium by Jason Drysdale (other articles here)

Excerpt:

Given the results of this study, it is recommended that institutions that are restructuring or building new instructional design teams implement centralized structures with academic reporting lines for their teams. The benefits of both centralization and academic reporting lines are clear: better advocacy and empowerment, better alignment with the pedagogical work of both designers and faculty, and less role misperception for instructional designers. Structuring these teams toward empowerment and better definitions of their roles as pedagogy experts may help them sustain their leadership on the initiatives they led, to great effect, during the COVID-19 pandemic. This study also revealed the importance of three additional structural elements: appropriate instructional design staffing for the size and scale of the institution, leadership experience with instructional design, and positional parity with faculty.

Also see:

A Practitioner's Guide to Instructional Design in Higher Education

 

Top 300 Tools for Learning 2021 [Hart]

Top 300 Tools for Learning 2021 — from toptools4learning.com by Jane Hart

Excerpt:

2021 was the YEAR OF DISRUPTION! There were a substantial number of new tools nominated this year so the main list has now been extended to 300 tools to accommodate them, and each of the 3 sub-lists has been increased to 150 tools. Although the top of this year’s list is relatively stable, there is quite bit of movement of tools on the rest of the list, and the effect of the new tools has been to push other established tools down – if not off the list altogether. Further analysis of the list appears in the right-hand column of the table below.

This table shows the overall rankings as well as the rankings on the 3 sub-lists: Top 150 Tools for Personal Learning (PL150), the Top 150 Tools for Workplace Learning (WL150) and the Top 150 Tools for Education (ED150). NEW tools are shaded YELLOW, tools coming BACK on the list are shaded GREEN. The most popular context in which each tool is used is also highlighted in BLUE.  Click on a tool name to find out more about it.

 


Top 300 Tools for Learning 2021 -- from Jane Hart


 

 

HOW SCHOOLS ARE REWRITING THE RULES ON CLASS TIME FOR STUDENTS—AND EVEN DITCHING GRADE LEVELS — from wsj.com by Yoree Koh
Educators are testing competency-based education, a form of personalized learning that emphasizes mastery of skills over hours spent in a classroom

 

 

11 Emerging Business Opportunities In The Internet Of Things Sector — from forbes.com by a panel of Young Entrepreneur Council members

Excerpt (emphasis DSC):

With this increased revenue comes a number of new ways for businesses to leverage IoT technology. Below, a panel of Young Entrepreneur Council members shared some business opportunities they see emerging in the IoT sector. Keep an eye out for these 11 growing trends in the B2B IoT space.

1. Voice-Powered Technologies
With the growing popularity of IoT devices, the interaction of business with customers is also changing. Take for instance Siri, Alexa and Cortana — who are advanced voice technologies — to perform countless searches as the customer orders. This one area of IoT is going to expand gigantically in the future.

 

The impact of blockchain, cryptocurrencies, and NFTs on the legal industry with Joseph Raczynski  — from buzzsprout.com by the ABA Center for Innovation

Today we will discuss blockchain, cryptocurrencies, and NFTs and their impact on the legal industry.  Joining us is an expert in all things blockchain and crypto, Joseph Raczynski.  Joseph Raczynski is a Technologist & Futurist with Thomson Reuters.

Also see:

The Law Firm of the Future — from joetechnologist.com by Joseph Raczynski

Excerpt:

Attorneys look to precedent to solve today’s legal problems. “Steeped in tradition” is how we often describe the legal profession.  As result, it’s no surprise that there is inherent tension between emerging technology and the legal profession. The American Bar Association’s 2020 TechReport, which surveys firms and tracks attorney use of technology in their practices, reported that only 7% of attorneys are using tech tools, such as Artificial Intelligence (AI), for document review and research.  Firms with more than 100 attorneys are more likely to use AI, as well as firms that engage in mass tort litigation. Despite promises of increased efficiency, productivity, and profitability, a significant number of attorneys cite distrust of the technology and underlying algorithms.

Even though the legal services market is estimated to be a $1T industry globally, Forbes reports that it is also one of the least digitized…

 

10 AI tech trends data scientists should know — from by Lisa Morgan
The rising environmental and monetary costs of deep learning are catching enterprises’ attention, as are new AI techniques like graph neural networks and contrastive learning.

Excerpt:

AI adoption is accelerating across industries, driven by a combination of concrete results, high expectations and a lot of money. Among the many new AI concepts and techniques launching almost daily, 10 AI tech trends in particular grab data scientists’ attention.

 

6 Emerging Technology Trends in Higher Education — from edtechmagazine.com by Amelia Pang
From artificial intelligence to microcredentials, here’s a look at the future.

Excerpts:

1. The Growth of Artificial Intelligence in Higher Ed
2. Actualizing the Potential of Data Analytics to Improve Education
3. A Permanent Place for Blended and Hybrid Course Models
4. The Expansion of Open Educational Resources
5. Microcredentials Provide Business Opportunities for Higher Ed
6. More Investments in Quality Online Learning

 

Microsoft President Warns of Orwell’s 1984 ‘Coming to Pass’ in 2024 — from interestingengineering.com by Chris Young
Microsoft’s Brad Smith warned we may be caught up in a losing race with artificial intelligence.

Excerpt (emphasis DSC):

The surveillance-state dystopia portrayed in George Orwell’s 1984 could “come to pass in 2024” if governments don’t do enough to protect the public against artificial intelligence (AI), Microsoft president Brad Smith warned in an interview for the BBC’s investigative documentary series Panorama.

During the interview, Smith warned of China’s increasing AI prowess and the fact that we may be caught up in a losing race with the technology itself.

“If we don’t enact the laws that will protect the public in the future, we are going to find the technology racing ahead, and it’s going to be very difficult to catch up,” Smith stated.

From DSC:
This is a major heads up to all those in the legal/legislative realm — especially the American Bar Association (ABA) and the Bar Associations across the country! The ABA needs to realize they have to up their game and get with the incredibly fast pace of the twenty-first century. If that doesn’t occur, we and future generations will pay the price. Two thoughts come to my mind in regards to the ABA and for the law schools out there:

Step 1: Allow 100% online-based JD programs all the time, from here on out.

Step 2: Encourage massive new program development within all law schools to help future lawyers, judges, legislative reps, & others build up more emerging technology expertise & the ramifications thereof.

Google’s plan to make search more sentient — from vox.com by Rebecca Heilweil
Google announces new search features every year, but this time feels different.

Excerpt:

At the keynote speech of its I/O developer conference on Tuesday, Google revealed a suite of ways the company is moving forward with artificial intelligence. These advancements show Google increasingly trying to build AI-powered tools that seem more sentient and that are better at perceiving how humans actually communicate and think. They seem powerful, too.

Two of the biggest AI announcements from Google involve natural language processing and search.

Google also revealed a number of AI-powered improvements to its Maps platform that are designed to yield more helpful results and directions.

Google’s plans to bring AI to education make its dominance in classrooms more alarming — from fastcompany.com by Ben Williamson
The tech giant has expressed an ambition to transform education with artificial intelligence, raising fresh ethical questions.

Struggling to Get a Job? Artificial Intelligence Could Be the Reason Why — from newsweek.com by Lydia Veljanovski; with thanks to Sam DeBrule for the resource

Excerpt:

Except that isn’t always the case. In many instances, instead of your application being tossed aside by a HR professional, it is actually artificial intelligence that is the barrier to entry. While this isn’t a problem in itself—AI can reduce workflow by rapidly filtering applicants—the issue is that within these systems lies the possibility of bias.

It is illegal in the U.S. for employers to discriminate against a job applicant because of their race, color, sex, religion, disability, national origin, age (40 or older) or genetic information. However, these AI hiring tools are often inadvertently doing just that, and there are no federal laws in the U.S. to stop this from happening.

These Indian edtech companies are shaping the future of AI & robotics — from analyticsinsight.net by Apoorva Komarraju May 25, 2021

Excerpt:

As edtech companies have taken a lead by digitizing education for the modern era, they have taken the stance to set up Atal Tinkering Labs in schools along with other services necessary for the budding ‘kidpreneurs’. With the availability of these services, students can experience 21st-century technologies like IoT, 3D printing, AI, and Robotics.

Researchers develop machine-learning model that accurately predicts diabetes, study says — from ctvnews.ca by Christy Somos

Excerpt:

TORONTO — Canadian researchers have developed a machine-learning model that accurately predicts diabetes in a population using routinely collected health data, a new study says.

The study, published in the JAMA Network Open journal, tested new machine-learning technology on routinely collected health data that examined the entire population of Ontario. The study was run by the ICES not-for-profit data research institute.

Using linked administrative health data from Ontario from 2006 to 2016, researchers created a validated algorithm by training the model on information taken from nearly 1.7 million patients.

Project Guideline: Enabling Those with Low Vision to Run Independently — from ai.googleblog.com by Xuan Yang; with thanks to Sam DeBrule for the resource

Excerpt:

For the 285 million people around the world living with blindness or low vision, exercising independently can be challenging. Earlier this year, we announced Project Guideline, an early-stage research project, developed in partnership with Guiding Eyes for the Blind, that uses machine learning to guide runners through a variety of environments that have been marked with a painted line. Using only a phone running Guideline technology and a pair of headphones, Guiding Eyes for the Blind CEO Thomas Panek was able to run independently for the first time in decades and complete an unassisted 5K in New York City’s Central Park.

Deepfake Maps Could Really Mess With Your Sense of the World — from wired.com by Will Knight
Researchers applied AI techniques to make portions of Seattle look more like Beijing. Such imagery could mislead governments or spread misinformation online.

In a paper published last month, researchers altered satellite images to show buildings in Seattle where there are none.

 

2021 EDUCAUSE Horizon Report® | Teaching and Learning Edition

2021 EDUCAUSE Horizon Report® | Teaching and Learning Edition

 
This report profiles key trends and emerging technologies and practices shaping the future of teaching and learning and envisions a number of scenarios and implications for that future. It is based on the perspectives and expertise of a global panel of leaders from across the higher education landscape.

 

3 Tech Trends Shaping the Future of Post-Pandemic Teaching and Learning — from campustechnology.com by Rhea Kelly
The landscape of higher education has been transformed by COVID-19, and that impact is a major factor in the 2021 Educause Horizon Report. Here are three key technology trends to watch as the lasting effects of the pandemic play out.

Excerpt:

What’s in store for higher education’s post-pandemic future? The latest Educause Horizon Report has identified the trends, technologies and practices shaping teaching and learning in the wake of COVID-19. The potential lasting effects of the pandemic “loomed large” in the trend selection this year, the report stated, emphasizing that although it remains to be seen whether the transformations of the past year will persist into the future, “it isn’t hard to imagine that higher education may never be the same in some important ways (good or bad).”

In the realm of technology in particular, it’s clear that the pandemic-induced shift to remote learning has dominated the trend landscape. The top three technological trends identified by the report are…

From 2021 EDUCAUSE Horizon Report® | Teaching and Learning Edition

This image relays some of the key technologies and practices such as AI, blended learning, learning analystics, OER, and others

Also see:

Jessica Rowland Williams, director of Every Learner Everywhere, agreed. “The pandemic has given us the unique opportunity to pause and listen to each other, and we are beginning to discover all the ways our experiences overlap,” she said.

 

AI in education: Features already adopted by companies, universities, and schools — from belitsoft.com by Dmitry Baraishuk

Excerpt:

AI use cases in education include such kinds of applications as: Artificial Intelligence in training, learning and development, AI in higher education and Artificial Intelligence in K-12 education. We’ve gathered and outlined real-life examples of AI in education for each of these three application areas. If you’re an L&D or HR pro, you will find insightful the section “AI in talent management and in Learning and development.” College and university leaders will discover helpful tools to significantly improve their educational process in the section “AI in Higher Education.” For school leaders, we’ve prepared the section “Artificial intelligence in K-12 education.”

Screenshot of a software app showing what an interface might look like for creating a personalized learning journey for someone. You can select from industries, roles, employees, and more.

This screenshot of an app shows what type of skills-related information could be earned, tracked, gathered and displayed.

Addendum on 4/23/21:

 

How Facebook got addicted to spreading misinformation — from technologyreview.com by Karen Hao

Excerpt (emphasis DSC):

By the time thousands of rioters stormed the US Capitol in January, organized in part on Facebook and fueled by the lies about a stolen election that had fanned out across the platform, it was clear from my conversations that the Responsible AI team had failed to make headway against misinformation and hate speech because it had never made those problems its main focus. More important, I realized, if it tried to, it would be set up for failure.

The reason is simple. Everything the company does and chooses not to do flows from a single motivation: Zuckerberg’s relentless desire for growth. Quiñonero’s AI expertise supercharged that growth. His team got pigeonholed into targeting AI bias, as I learned in my reporting, because preventing such bias helps the company avoid proposed regulation that might, if passed, hamper that growth. Facebook leadership has also repeatedly weakened or halted many initiatives meant to clean up misinformation on the platform because doing so would undermine that growth.

In other words, the Responsible AI team’s work—whatever its merits on the specific problem of tackling AI bias—is essentially irrelevant to fixing the bigger problems of misinformation, extremism, and political polarization. And it’s all of us who pay the price.

Artificial Intelligence In 2021: Five Trends You May (or May Not) Expect — from forbes.com by Nisha Talagala

5 trends for AI in 2021

 

The future of work after COVID-19 -- Woman working on a computer with wireless headset

The future of work after COVID-19 — from mckinsey.com

Excerpts:

This report on the future of work after COVID-19 is the first of three MGI reports that examine aspects of the postpandemic economy. The others look at the pandemic’s long-term influence on consumption and the potential for a broad recovery led by enhanced productivity and innovation. Here, we assess the lasting impact of the pandemic on labor demand, the mix of occupations, and the workforce skills required in eight countries with diverse economic and labor market models: China, France, Germany, India, Japan, Spain, the United Kingdom, and the United States. Together, these eight countries account for almost half the global population and 62 percent of GDP.

Physical proximity scores of a variety of occupations

 

Future occupations in 2030 -- increases or decreases

 

LexisNexis Extends Its Context Language Analytics to Cover Attorneys’ Briefs and Motions — from legaltechmonitor.com Bob Ambrogi

Excerpt:

Last year, LexisNexis introduced Context, a refinement of an analytics tool originally developed by Ravel Law that analyzes the language of a judge’s opinions to determine the cases and arguments the judge finds most persuasive in deciding specific types of issues. As I reported then, that original launch also included Context for expert witnesses, and, since then, LexisNexis has expanded Context to also cover courts and companies.

Today, LexisNexis is further expanding Context with the introduction of Attorney Analytics, the fifth module in the platform, for researching opposing attorneys in litigation matters.

Also see:

 
© 2021 | Daniel Christian