Top 22 Technology Trends 2022 — from unfoldlabs.com; with thanks to Pedro Ramon Lopez Garcia for his posting out on LinkedIn
Also see:
- 10 AI Predictions For 2022 — from forbes.com by Rob Toews
On 11/15/2021,
in 21st century, 24x7x365 access, Access to Justice (A2J), Africa, Asia, Australia, Blockchain, bots, Canada, change, communities of practice, Europe, future, game-changing environment, global / globalization, ideas, India, innovation, intelligent systems, intelligent tutoring, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, platforms, policy, political science, society, UK, United States, vendors, Virtual courts and law firms, vision/possibilities,
by Daniel Christian
Excerpt from “Use of digital technologies in judicial reform and access to justice cooperation — from HiiL (The Hague Institute for Innovation of Law)
On 11/05/2021,
in 21st century, 24x7x365 access, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, education technology, innovation, instructional design, intelligent systems, intelligent tutoring, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, personalized/customized learning, platforms, teaching & learning, user experience (UX), vendors, vision/possibilities,
by Daniel Christian
Adaptive and Personalized Learning Experiences — from learningguild.com by Chad Udell and Jennifer Murphy
Excerpts:
On 10/06/2021,
in 21st century, 24x7x365 access, accreditation, adjunct faculty, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, assessment, Canvas - and other Instructure-related items, career development, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communications, communities of practice, community colleges, competency-based learning/education, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, credentialing, curriculum, Daniel S. Christian, data related items, emerging technologies, entrepreneurship, experimentation, faculty, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, law schools, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, Legal operations, legislatures / government / legal, lifelong learning, Michigan, New "Amazon.com" of Higher Education, new business models, online learning, platforms, professional development, reinvent, smart/connected TV, society, surviving, technologies for your home, tools, training / L&D, United States, universities, vision/possibilities, vocational / trades,
by Daniel Christian
On 09/17/2021,
in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, career development, change, cloud-based computing / apps / other cloud-related, communications, communities of practice, competency-based learning/education, corporate universities / corporate training, cost of getting a degree, creativity, dangers of the status quo, Daniel S. Christian, digital learning, education, education reform, entrepreneurship, future, global / globalization, heutagogy, human-computer interaction (HCI), ideas, innovation, intelligent systems, K-12 related, law schools, learning, learning ecosystem, Learning from the Living [Class] Room, legislatures / government / legal, lifelong learning, online learning, platforms, policy, political science, reinvent, research, skills, smart/connected TV, society, staying relevant, streams of content, surviving, training / L&D, trends, United States, using teams, vision/possibilities, vocational / trades, web-based collaboration,
by Daniel Christian
Defining the skills citizens will need in the future world of work — from McKinsey & Company; with thanks to Ryan Craig for this resource
Excerpts:
Our findings help define the particular skills citizens are likely to require in the future world of work and suggest how proficiency in them can influence work-related outcomes, namely employment, income, and job satisfaction. This, in turn, suggests three actions governments may wish to take.
- Reform education systems
- Reform adult-training systems
- Ensure affordability of lifelong education
Establish an AI aggregator of training programs to attract adult learners and encourage lifelong learning. AI algorithms could guide users on whether they need to upskill or reskill for a new profession and shortlist relevant training programs.
From DSC:
No one will have all 56 skills that McKinsey recommends here. So (HR) managers, please don’t load up your job postings with every single skill listed here. The search for purple unicorns can get tiring, old, and discouraging for those who are looking for work.
That said, much of what McKinsey’s research/data shows — and what their recommendations are — resonates with me. And that’s why I keep adding to the developments out at:
A powerful, global, next-generation learning platform — meant to help people reinvent themselves quickly, safely, cost-effectively, conveniently, & consistently!!!
On 09/07/2021,
in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, education technology, human-computer interaction (HCI), intelligent systems, interaction design, Natural Language Processing (NLP), voice recognition / voice enabled interfaces,
by Daniel Christian
An Edtech User’s Glossary to Speech Recognition and AI in the Classroom — from edsurge.com by Thomas C. Murray
Per Thomas Murray:
Recently, I collaborated with SoapBox Labs’ Amelia Kelly, the vice president of speech technology there, to create a glossary to help educators and edtech developers better familiarize themselves with speech recognition and make informed decisions about its use in educational settings. Below are some of the key terms that are particularly important, along with an explanation for why those terms matter.
On 08/04/2021,
in 21st century, 24x7x365 access, A/V -- audio/visual, adult learning, Africa, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, blended learning, bots, business, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, digital storytelling, distance education, education, education technology, emerging technologies, engagement / engaging students, faculty, flipping -- inverted learning, future, future of higher education, game-changing environment, global / globalization, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), hybrid learning, Hyflex learning, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, languages and translation, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, Legal operations, legal reform, legal technologies, legislatures / government / legal, Natural Language Processing (NLP), New "Amazon.com" of Higher Education, new business models, online learning, online media, online tutoring, participation, platforms, presentations, professional development, remote teaching and learning, smart classrooms, smart/connected TV, social learning / networks, society, student-related, teachers, teaching & learning, teaching online, technologies for your home, telelegal, telemedicine / telehealth / virtual health, telepresence, tools, training / L&D, transmedia, UK, United States, universities, usability, user experience (UX), vendors, videoconferencing, Virtual courts and law firms, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, vocational / trades, web-based collaboration, webinars, workplace,
by Daniel Christian
DC: What doors does this type of real-time translation feature open up for learning?https://t.co/beOXFjGZs9#learningfromthelivingclassroom #education #K12 #highereducation #training #learning #lifelonglearning #globallearning #languages #translation https://t.co/TV5InkWHwn pic.twitter.com/MGblMzQbBL
— Daniel Christian (he/him/his) (@dchristian5) August 4, 2021
From DSC:
For that matter, what does it open up for #JusticeTech? #Legaltech? #A2J? #Telehealth?
On 07/07/2021,
in Blockchain, cloud-based computing / apps / other cloud-related, credentialing, Daniel S. Christian, ideas, innovation, intelligent systems, intelligent tutoring, learner profiles, learning, learning agents, learning ecosystem,
by Daniel Christian
Learning technology lessons from the front lines — from chieflearningofficer.com by Neda Schlictman
Deloitte’s accelerated rollout of its global LXP during the initial onslaught of the pandemic yielded many lessons for the organization. Following are insights for those who are seeking what’s next for their learning strategies.
Excerpt (emphasis DSC):
More than 330,000 people at Deloitte, across 170 countries, have access to Cura, which aggregates learning content from both internal and external sources and personalizes learning based on the user’s defined skills and interests. Cura enables individual discovery of learning but also allows users to follow prescribed pathways as well as the opportunity to create content.
On 04/19/2021,
in 21st century, Africa, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, Bias | Diversity Equity & Inclusion (DE&I), Canada, Daniel S. Christian, emerging technologies, ethics, Europe, future, game-changing environment, generational differences, human-computer interaction (HCI), India, intelligent systems, law schools, legislatures / government / legal, Michigan, morals/values, parents/guardians, platforms, policy, robotics, science, society, sociology, the downsides of how people use tech, UK, United States,
by Daniel Christian
Artificial intelligence and the future of national security — from news.asu.edu
Excerpt:
Artificial intelligence is a “world-altering” technology that represents “the most powerful tools in generations for expanding knowledge, increasing prosperity and enriching the human experience” and will be a source of enormous power for the companies and countries that harness them, according to the recently released Final Report of the National Security Commission on Artificial Intelligence.
This is not hyperbole or a fantastical version of AI’s potential impact. This is the assessment of a group of leading technologists and national security professionals charged with offering recommendations to Congress on how to ensure American leadership in AI for national security and defense. Concerningly, the group concluded that the U.S. is not currently prepared to defend American interests or compete in the era of AI.
Also see:
EU Set to Ban Surveillance, Start Fines Under New AI Rules — from bloomberg.com by Natalia Drozdiak
Excerpt:
The European Union is poised to ban artificial intelligence systems used for mass surveillance or for ranking social behavior, while companies developing AI could face fines as high as 4% of global revenue if they fail to comply with new rules governing the software applications.
Also see:
Wrongfully arrested man sues Detroit police over false facial recognition match — from washingtonpost.com by Drew Harwell
The case could fuel criticism of police investigators’ use of a controversial technology that has been shown to perform worse on people of color
Excerpts:
A Michigan man has sued Detroit police after he was wrongfully arrested and falsely identified as a shoplifting suspect by the department’s facial recognition software in one of the first lawsuits of its kind to call into question the controversial technology’s risk of throwing innocent people in jail.
Robert Williams, a 43-year-old father in the Detroit suburb of Farmington Hills, was arrested last year on charges he’d taken watches from a Shinola store after police investigators used a facial recognition search of the store’s surveillance-camera footage that identified him as the thief.
Prosecutors dropped the case less than two weeks later, arguing that officers had relied on insufficient evidence. Police Chief James Craig later apologized for what he called “shoddy” investigative work. Williams, who said he had been driving home from work when the 2018 theft had occurred, was interrogated by detectives and held in custody for 30 hours before his release.
Williams’s attorneys did not make him available for comment Tuesday. But Williams wrote in The Washington Post last year that the episode had left him deeply shaken, in part because his young daughters had watched him get handcuffed in his driveway and put into a police car after returning home from work.
“How does one explain to two little girls that a computer got it wrong, but the police listened to it anyway?” he wrote. “As any other black man would be, I had to consider what could happen if I asked too many questions or displayed my anger openly — even though I knew I had done nothing wrong.”
Addendum on 4/20/21:
- Aiming for truth, fairness, and equity in your company’s use of AI — from ftc.gov by Elisa Jillson