Google CEO Still Insists AI Revolution Bigger Than Invention of Fire — from gizmodo.com by Matt Novak
Pichai suggests the internet and electricity are also small potatoes compared to AI.

Excerpt:

The artificial intelligence revolution is poised to be more “profound” than the invention of electricity, the internet, and even fire, according to Google CEO Sundar Pichai, who made the comments to BBC media editor Amol Rajan in a podcast interview that first went live on Sunday.

“The progress in artificial intelligence, we are still in very early stages, but I viewed it as the most profound technology that humanity will ever develop and work on, and we have to make sure we do it in a way that we can harness it to society’s benefit,” Pichai said.

“But I expect it to play a foundational role pretty much across every aspect of our lives. You know, be it health care, be it education, be it how we manufacture things and how we consume information. 

 

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.

A cloud-based learner profile may definitely be part of our future learning ecosystems!

 

This is an abstract picture of a person's head made of connections peering sideways -- it links to Artificial intelligence and the future of national security from ASU

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:

 

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:

 

GPT-3: We’re at the very beginning of a new app ecosystem — from venturebeat.com by Dattaraj Rao

From DSC: NLP=Natural Language Processing (i.e., think voice-driven interfaces/interactivity).

Excerpt:

Despite the hype, questions persist as to whether GPT-3 will be the bedrock upon which an NLP application ecosystem will rest or if newer, stronger NLP models with knock it off its throne. As enterprises begin to imagine and engineer NLP applications, here’s what they should know about GPT-3 and its potential ecosystem.

 

Time for Reinvention, Not Just Replication or Revision — from insidehighered.com by Ray Schroeder
With enrollments falling, college budgets under strain and employers dissatisfied with the relevance of graduates’ learning, now is a time for more than replication or revision — it is time for reinvention.

Excerpt:

We are at the confluence of massive economic, technologic and social changes that demand higher education do more than small fixes. We will not thrive if we merely tweak the system to replicate practices of the lecture hall in an online delivery system. This is not an empty warning — universities across the country are closing programs, laying off staff and faculty, and teetering on the brink of bankruptcy. I have personally been tracking these economic disadvantages for some time now.

Here are the key factors we must consider…(see rest of article)

Our centuries-old model of admitting 18-year-old high school graduates for a four-, five- or six-year baccalaureate, then sending them out for lifelong careers in business and industry is no longer relevant.

 

When the Animated Bunny in the TV Show Listens for Kids’ Answers — and Answers Back — from edsurge.com by Rebecca Koenig

Excerpt:

Yet when this rabbit asks the audience, say, how to make a substance in a bottle less goopy, she’s actually listening for their answers. Or rather, an artificially intelligent tool is listening. And based on what it hears from a viewer, it tailors how the rabbit replies.

“Elinor can understand the child’s response and then make a contingent response to that,” says Mark Warschauer, professor of education at the University of California at Irvine and director of its Digital Learning Lab.

AI is coming to early childhood education. Researchers like Warschauer are studying whether and how conversational agent technology—the kind that powers smart speakers such as Alexa and Siri—can enhance the learning benefits young kids receive from hearing stories read aloud and from watching videos.

From DSC:
Looking at the above excerpt…what does this mean for elearning developers, learning engineers, learning experience designers, instructional designers, trainers, and more? It seems that, for such folks, learning how to use several new tools is showing up on the horizon.

 

8 Higher Education IT Trends to Watch in 2021 [Stone]

8 Higher Education IT Trends to Watch in 2021 — from edtechmagazine.com by Adam Stone
Keep your eye on these trends as higher education prepares for a post-pandemic future.

Excerpt:

1. Get Used to More Advanced Learning Management Systems
At Virginia Tech, the Canvas learning management system (LMS) was critical for coordinating synchronous and asynchronous learning. Such systems will only become more sophisticated moving forward, says Randy Marchany, the university’s IT security officer. “With COVID, instructors have become more video savvy,” he says. “We’re all getting smarter about how we use these tools.”

2. A Rise in Sophisticated Videoconferencing Platforms
Even after the pandemic, educators might continue lecturing over Zoom and other videoconferencing platforms. However, they’ll be doing it in more sophisticated ways. “People will be making these experiences more collaborative, more authentic — with much richer interactions and conversations,” Grajek says. “We are all becoming more experienced consumers, and we will see a lot of innovation in this area.”

From DSC:
Yet another step closer…

Yet another step closer to the Learning from the Living Class Room vision

 

Building a Learner-Centered Ecosystem -- from the Strada Education Network

Strada Institute identified five key pillars these lifelong learners will need from an education and training system designed for them:

  1. It has to be easy to navigate.
  2. Supports are needed to help learners balance their lives.
  3. Targeted education should lead to a job.
  4. Hiring practices must be transparent and fair.
  5. Students must be able to earn while learning.

Also see:

Are we ready for this? — from stradaeducation.org by Andrew Pelesh
Preparing the Education-Workforce System for the 100-Year Career

 

OpenAI’s text-to-image engine, DALL-E, is a powerful visual idea generator — from venturebeat.com by Gary Grossman; with thanks to Tim Holt for sharing this resource

OpenAI’s text-to-image engine, DALL-E, is a powerful visual idea generator

Excerpt:

OpenAI chose the name DALL-E as a hat tip to the artist Salvador Dalí and Pixar’s WALL-E. It produces pastiche images that reflect both Dalí’s surrealism that merges dream and fantasy with the everyday rational world, as well as inspiration from NASA paintings from the 1950s and 1960s and those for Disneyland Tomorrowland by Disney Imagineers.

From DSC:
I’m not a big fan of having AI create the music that I listen to, or the artwork that I take in. But I do think there’s potential here in giving creative artists some new fodder for thought! Perhaps marketers and/or journalists could also get their creative juices going from this type of service/offering.

Speaking of art, here are a couple of other postings that caught my eye recently:

This Elaborately Armored Samurai Was Folded From A Single Sheet of Paper
Also see:

 

From DSC:
For me the Socratic method is still a question mark, in terms of effectiveness. (I suppose it depends on who is yielding the tool and how it’s being utilized/implemented.)

But you have one student — often standing up and/or in the spotlight — who is being drilled on something. That student could be calm and collected, and their cognitive processing could actually get a boost from the adrenaline.

But there are other students who dread being called upon in such a public — sometimes competitive — setting. Their cognitive processing could shut down or become greatly diminished.

Also, the professor is working with one student at a time — hopefully the other students are trying to address each subsequent question, but some students may tune out once they know it’s not their turn in the spotlight.

So I was wondering…could the Socratic method be used with each student at the same time? Could a polling-like tool be used in real-time to guide the discussion?

For example, a professor could start out with a pre-created poll and ask the question of all students. Then they could glance through the responses and even scan for some keywords (using their voice to drive the system and/or using a Ctrl+F / Command+F type of thing).

Then in real-time / on-the-fly, could the professor use their voice to create another poll/question — again for each student to answer — based on one of the responses? Again, each student must answer the follow up question(s).

Are there any vendors out there working on something like this? Or have you tested the effectiveness of something like this?

Vendors: Can you help us create a voice-driven interface to offer the Socratic method to everyone to see if and how it would work? (Like a Mentimeter type of product on steroids…er, rather, using an AI-driven backend.)

Teachers, trainers, pastors, presenters could also benefit from something like this — as it could engage numerous people at once.

#Participation #Engagement #Assessment #Reasoning #CriticalThinking #CommunicationSkills #ThinkingOnOnesFeet #OnlineLearning #Face-to-Face #BlendedLearning #HybridLearning

Could such a method be used in language-related classes as well? In online-based tutoring?

 

Could AI-based techs be used to develop a “table of contents” for the key points within lectures, lessons, training sessions, sermons, & podcasts? [Christian]

From DSC:
As we move into 2021, the blistering pace of emerging technologies will likely continue. Technologies such as:

  • Artificial Intelligence (AI) — including technologies related to voice recognition
  • Blockchain
  • Augment Reality (AR)/Mixed Reality (MR)/Virtual Reality (VR) and/or other forms of Extended Reality (XR)
  • Robotics
  • Machine-to-Machine Communications (M2M) / The Internet of Things (IoT)
  • Drones
  • …and other things will likely make their way into how we do many things (for better or for worse).

Along the positive lines of this topic, I’ve been reflecting upon how we might be able to use AI in our learning experiences.

For example, when teaching in face-to-face-based classrooms — and when a lecture recording app like Panopto is being used — could teachers/professors/trainers audibly “insert” main points along the way? Similar to something like we do with Siri, Alexa, and other personal assistants (“Heh Siri, _____ or “Alexa, _____).

Like an audible version of HTML -- using the spoken word to insert the main points of a presentation or lecture

(Image purchased from iStockphoto)

.

Pretend a lecture, lesson, or a training session is moving right along. Then the professor, teacher, or trainer says:

  • “Heh Smart Classroom, Begin Main Point.”
  • Then speaks one of the main points.
  • Then says, “Heh Smart Classroom, End Main Point.”

Like a verbal version of an HTML tag.

After the recording is done, the AI could locate and call out those “main points” — and create a table of contents for that lecture, lesson, training session, or presentation.

(Alternatively, one could insert a chime/bell/some other sound that the AI scans through later to build the table of contents.)

In the digital realm — say when recording something via Zoom, Cisco Webex, Teams, or another application — the same thing could apply. 

Wouldn’t this be great for quickly scanning podcasts for the main points? Or for quickly scanning presentations and webinars for the main points?

Anyway, interesting times lie ahead!

 

 

The Year TV Leaped Into The Future [Roettgers]

The Year TV Leaped Into The Future [Roettgers]

The Year TV Leaped Into The Future — from protocol.com by Janko Roettgers

The lockdowns this year have transformed our homes into offices, schools, concert halls, movie theaters and gyms. Our homes are working harder for us, but so is our technology. The device that is working the hardest is perhaps the TV—becoming our lifeline to a far more virtual world.

Addendums:

The Second Year of The MOOC: 2020 Saw a Rush to Large-Scale Online Courses

The Second Year of The MOOC: 2020 Saw a Rush to Large-Scale Online Courses — from edsurge.com by Dhawal Shah

Excerpt:

This was the year that more people learned what a MOOC is.

As millions suddenly found themselves with free time on their hands during the pandemic, many turned to online courses—especially, to free courses known as MOOCs, or Massive Open Online Courses. This phenomenon was compounded by media worldwide compiling lists of “free things to do during lockdown,” which tended to include MOOCs.

Within two months, Class Central had received over 10 million visits and sent over six million clicks to MOOC providers. These learners also turned out to be more engaged than usual. In April 2020, MOOC providers Coursera, edX and FutureLearn attracted as many new users in a single month as they did in the entirety of 2019.

.

From DSC:
The pieces continue to come together…

Learning from the living class room

...team-based content creation and delivery will dominate in the future (at least for the masses). It will offer engaging, personalized learning and the AI-based systems will be constantly scanning for the required/sought-after skills and competencies. The systems will then present a listing of items that will help people obtain those skills and competencies.

#AI #LearningProfiles #Cloud #LearningFromTheLivingClassRoom #LearningEcosystems #LearningSpaces #21stCentury #24x7x365 #Reinvent #Surviving #StayingRelevant #LifeLongLearning and many more tags/categories are applicable here.

 

Trends Report for 2021: Three Scenes from the Future -- from Frog Design

Trends 2021: Three Scenes from the Future — from frogdesign.com

Excerpt:

This year, we decided to lean into this unreality. For our tenth annual Trends list, we asked frogs to not only imagine the societal and technological shifts that will impact our future, but to project the future worlds these shifts will create. From perspectives on the accelerated adoption of remote work, to visions of distorted realities and changing consumer behaviors, we’re sharing different possible views of 2021 and beyond—and the products, services and experiences that will shape our future worlds.

 

Can algorithms save college admissions?

Can Algorithms Save College Admissions? — from chronicle.com by Brian Rosenberg
We’ve tried a system based on competition long enough. It isn’t working.

Excerpt (emphasis DSC):

Here is an alternative and much more radical proposal: What if we replaced the current and longstanding admissions process among private colleges with a match process, similar to what has for years been used to match medical-school graduates with residency and fellowship positions? What if, in other words, we used data and algorithms instead of travel, merit aid, and free food to drive college admissions?

From DSC:
Love the “What if…” thinking here and the spirit of innovation behind it. I wonder if AI and cloud-based learner profiles might play into something like this in the future…?

Also see:

7 Ways To Make College Admissions More Equitable — from stradaeducation.org by Patty Reinert Mason and Jeff Selingo
Is it time to reconsider early-decision applications, legacy preferences, and reliance on feeder high schools?
Selingo offers these practical steps colleges and universities can take to make admissions more equitable:

  • Eliminate early-decision applications.
  • Be upfront about what you’re looking for in this year’s incoming class so students and parents have the information they need.
  • Be transparent about what it costs to study at your school.
  • Look beyond traditional “feeder high schools” for recruitment, creating opportunity for a more diverse group of students.
  • Reduce preferences given to athletes and legacies.
  • Rethink application requirements to put more emphasis on high school coursework and grades and less on extracurriculars, recommendations, and essays.
  • Expand the size of freshman classes.

Also see:

 
© 2021 | Daniel Christian