12 examples of artificial intelligence in everyday life — from itproportal.com by Christopher Oldman

Excerpt:

4. Plagiarism
The college students’ (or is it professor’s?) nightmare. Whether you are a content manager or a teacher grading essays, you have the same problem – the internet makes plagiarism easier.

There is a nigh unlimited amount of information and data out there, and less-than-scrupulous students and employees will readily take advantage of that.

Indeed, no human could compare and contrast somebody’s essay with all the data out there. AIs are a whole different beast.

They can sift through an insane amount of information, compare it with the relevant text, and see if there is a match or not.

Furthermore, thanks to advancement and growth in this area, some tools can actually check sources in foreign languages, as well as images and audio.

Intel calls its AI that detects student emotions a teaching tool. Others call it ‘morally reprehensible.’ — from protocol.com by Kate Kaye
Virtual school software startup Classroom Technologies will test the controversial “emotion AI” technology.

Excerpts:

But Intel and Classroom Technologies, which sells virtual school software called Class, think there might be a better way. The companies have partnered to integrate an AI-based technology developed by Intel with Class, which runs on top of Zoom. Intel claims its system can detect whether students are bored, distracted or confused by assessing their facial expressions and how they’re interacting with educational content.

But critics argue that it is not possible to accurately determine whether someone is feeling bored, confused, happy or sad based on their facial expressions or other external signals.

The classroom is just one arena where controversial “emotion AI” is finding its way into everyday tech products and generating investor interest. It’s also seeping into delivery and passenger vehicles and virtual sales and customer service software.

MIT’s FutureMakers programs help kids get their minds around — and hands on — AI — from news.mit.edu by Kim Patch
The programs are designed to foster an understanding of how artificial intelligence technologies work, including their social implications.

Excerpt:

During one-week, themed FutureMakers Workshops organized around key topics related to AI, students learn how AI technologies work, including social implications, then build something that uses AI.

“AI is shaping our behaviors, it’s shaping the way we think, it’s shaping the way we learn, and a lot of people aren’t even aware of that,” says Breazeal. “People now need to be AI literate given how AI is rapidly changing digital literacy and digital citizenship.”

AI can now kill those annoying cookie pop-ups — from thenextweb.com by Thomas Macaulay
The notifications have been put on notice

Excerpt:

After years of suffering this digital torture, a new AI tool has finally offered hope of an escape.

Named CookieEnforcer, the system was created by researchers from Google and the University of Wisconsin-Madison.

The system was created to stop cookies from manipulating people into making website-friendly choices that put their privacy at risk. Yet it could also end the constant hassle of navigating the notices.

Using machine learning to improve student success in higher education — from mckinsey.com
Deploying machine learning and advanced analytics thoughtfully and to their full potential may support improvements in student access, success, and the overall student experience.

Excerpt:

Yet higher education is still in the early stages of data capability building. With universities facing many challenges (such as financial pressures, the demographic cliff, and an uptick in student mental-health issues) and a variety of opportunities (including reaching adult learners and scaling online learning), expanding use of advanced analytics and machine learning may prove beneficial.

Below, we share some of the most promising use cases for advanced analytics in higher education to show how universities are capitalizing on those opportunities to overcome current challenges, both enabling access for many more students and improving the student experience.

Artificial intelligence (AI): 7 roles to prioritize now — from enterprisersproject.com by Marc Lewis
Which artificial intelligence (AI) jobs are hottest now? Consider these seven AI/ML roles to prioritize in your organization

Excerpt:

Rather than a Great Resignation, this would suggest a Great Reallocation of the workforce. As a global search consultant, we are seeing this precipitous shift in positions, with great demand for skills in artificial intelligence and machine learning (AI/ML).

With that in mind, here are seven artificial intelligence (AI)-related roles to consider prioritizing right now as the workforce reallocates talent to new jobs that drive economic value for leading companies…

4 ways AI will be a great teaching assistant — from thetechedvocate.org by Matthew Lynch

 

2022 Outlook: 6 Legal Trends and Predictions to Have on Your Radar — from jdsupra.com by Vivian Susko

Excerpt:

In January, 2020, we made some bold predictions about what would lie ahead for legal operations in the new decade. Let’s dive back into some of our top forecasts, survey our new landscape, and see which legal trends are currently impacting the industry in 2022. Mitratech expert, Justin Silverman, weighs in on what you can expect to see on the horizon for legal ops.

Points on a radar screen

 

Weighing the best strategies for reading intervention — from hechingerreport.org by Caralee Adams
Some schools are overhauling reading instruction and trying a variety of approaches to address the pandemic’s impact on learning

Excerpt:

But, some experts say, schools should also invest in deeper changes that tackle the root of the problem: Many teachers aren’t well versed in the science of reading and the best ways to teach to the widening range of abilities they are seeing in students.

Teachers need training on the science of reading research, guidance on leveraging data and ongoing support to help them target instruction.

 

The Skills Needed to Practice “New Law” — from abaforlawstudents.com by Ram Vasudevan

Excerpt:

…but proficiencies in technology, data and analytics, math and statistics, finance and budgeting, and large-scale project management are among the most valuable. Each of these skill sets now comes into play in the practice of law on a near-daily basis.

All these new legal competencies have in common the recognition that legal projects involve far more than legal skills. Too many lawyers, however, are still narrowly focused on the legal aspect of their work and are therefore missing out on a whole host of opportunities. Rising lawyers and law firm graduates who might have previously struggled to be part of the hiring conversation can now make themselves highly marketable by becoming experts in one or more of these areas and filling a pressing need in today’s legal organizations.

Also relevant/see:

 

The Future Trends Forum Topics page — from forum.futureofeducation.us by Bryan Alexander

Excerpt:

The Future Trends Forum has explored higher education in depth and breadth. Over six years of regular live conversations we have addressed many aspects of academia.

On this page you’ll find a list of our topics.  Consider it a kind of table of contents, or, better yet, an index to the Forum’s themes.

Also see:

Since we launched in early February, 2016, the Forum has successfully published three hundred videos to YouTube.  Week after week, month by month, over more than six years we’ve held great conversations, then shared them with the world, free of charge.

 

Technology Trends for 2022 — from oreilly.com
What O’Reilly Learning Platform Usage Tells Us About Where the Industry Is Headed

Excerpt:

It’s been a year since our last report on the O’Reilly learning platform. Last year we cautioned against a “horse race” view of technology. That caution is worth remembering: focus on the horse race and the flashy news and you’ll miss the real stories. While new technologies may appear on the scene suddenly, the long, slow process of making things that work rarely attracts as much attention. We start with an explosion of fantastic achievements that seem like science fiction—imagine, GPT-3 can write stories!—but that burst of activity is followed by the process of putting that science fiction into production, of turning it into real products that work reliably, consistently, and fairly. AI is making that transition now; we can see it in our data. But what other transitions are in progress? What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? This report is about those transitions.

O’Reilly Answers
We’re very excited about O’Reilly Answers, the newest product on the platform. Answers is an intelligent search that takes users directly to relevant content, whether that’s a paragraph from a book, a snippet of a video, or a block of code that answers a question. Rather than searching for an appropriate book or video and skimming through it, you can ask a specific question like “How do you flatten a list of lists in Python?” (a question I’ve asked several times). 


Also see:


 
 

The Conversation: Twitter Trends 2022 -- from marketing.twitter.com

The Conversation: Twitter Trends 2022 — from marketing.twitter.com

Excerpt:

Billions of Tweets reveal tomorrow’s big movements. 

The biggest movements start quietly. An idea becomes conversation becomes a seismic cultural shift. And if you want in on what’s next, listen to what people on Twitter are saying right now. 

To help you out, we analyzed1 billions of Tweets over a two-year period to find three must-know trends about to go big. From The Great Restoration to Fan-Built Worlds to Finance Goes Social, the talk on Twitter reveals the underlying shifts in power shaping where the world is going. 

 

Census Bureau Releases New Educational Attainment Data — from census.gov; with thanks to The Chronicle of Higher Education for this resource

Excerpt:

FEB. 24, 2022 — Today, the U.S. Census Bureau released findings from the Educational Attainment in the United States: 2021 table package that use statistics from the Current Population Survey’s Annual Social and Economic Supplement to examine the educational attainment of adults age 25 and older by demographic and social characteristics, such as age, sex, race and nativity.

Also from The Chronicle, see:

Higher Ed 101: The Credential Cluster — from futureupodcast.com with Sean Gallagher, Michael Horn, and Jeff Selingo

Higher Ed 101: The Credential Cluster

 

 

 

RESULTS ARE IN: HERE ARE THE 15 LEGAL TECH WINNERS OF THE 2022 ABA TECHSHOW STARTUP ALLEY COMPETITION — from techshow.com

Excerpts:

After nearly 32,000 votes, the results are in. Readers have been voting to select the 15 legal technology startups that will get to participate in the sixth-annual Startup Alley at ABA TECHSHOW 2022, taking place March 2-5, 2022.

These 15 will face off in an opening night pitch competition that will be the opening event of this year’s TECHSHOW, with the conference’s attendees voting to pick the top winner. The first-place winner gets a package of marketing and advertising prizes.

Here are the winners in order of their vote tallies. The descriptions were provided by each company.

 

Companies are making serious money with AI — from sloanreview.mit.edu by Thomas Davenport and Randy Bean

Excerpt:

Just a few years later, things are beginning to change. In the 2022 survey of senior data and technology executives by NewVantage Partners (where Randy Bean is CEO and cofounder, and Tom Davenport is a fellow), 92% of large companies reported that they are achieving returns on their data and AI investments. That’s up markedly from 48% in 2017. The same percentage (92%) said that they are increasing investments in data and AI, equaling last year’s percentage.

 

9 emerging tech trends IT leaders need to watch — from enterprisersproject.com by Stephanie Overby
As CIOs focus on enabling their businesses for the future, these key technologies will be front and center in 2022 and beyond

Excerpt (emphasis DSC):

Keeping on top of the newest new thing is fast becoming a tall order. At the same time, it’s never been more important to IT and enterprise success. More than two-thirds (68 percent) of IT leaders told IEEE that determining what technologies are needed for their company in the post-pandemic future will be challenging.

Looking at 2022 and beyond, CIOs charged with outfitting hybrid workplaces, enabling more resilient and flexible supply chains, and continuing the digital transformation march will be eyeing multiple new capabilities in concert. “Rather than single technologies, CIOs will have to focus on confluence of these to drive transformation,” says Yugal Joshi, who leads Everest Group’s digital, cloud, and application services research practices.

Also from enterprisersproject.com, see:

What does it mean to have a team when no two members are working in the same room? In one of Gartner’s more eye-popping predictions for 2022, they stated that “by 2024, 30% of corporate teams will be without a boss due to the self-directed and hybrid nature of work.”

 

Google wants 20,000 Americans to have higher-paying jobs — from protocol.com by Amber Burton
Google’s Career Certificate Fund is aimed at creating a sustainable model of support for American job seekers.

Excerpt:

The program is designed for students to pay zero upfront costs for the three to six-month courses, but Google certificate students are expected to repay program costs if they land a job that pays at least $40,000 annually. While the exact amount of the monthly payments was not shared in the announcement, Google said it will be low no-interest payments for Social Finance to reinvest in the program for additional participants.

Our new $100 million Google Career Certificates Fund — from blog.google by Sundar Pichai

It’s another promising example of how the entire ecosystem — from private companies to nonprofits — can work together to help more Americans access economic opportunities.

Addendum on 3/2/22:

 

AI Foundation Models for the Rest of Us — from future.a16z.com by Elliot Turner

Excerpt:

While 2012’s state-of-the-art systems could be trained on a $700 video game card, today’s state-of-the-art systems – often referred to as foundation models – likely require tens of millions of dollars in computation to train.

The emergence of these massive-scale, high-cost foundation models brings opportunities, risks, and limitations for startups and others that want to innovate in artificial intelligence and machine learning.

 
© 2024 | Daniel Christian