In the US, the AI Industry Risks Becoming Winner-Take-Most — from wired.com by Khari Johnson
A new study illustrates just how geographically concentrated AI activity has become.

Excerpt:

A NEW STUDY warns that the American AI industry is highly concentrated in the San Francisco Bay Area and that this could prove to be a weakness in the long run. The Bay leads all other regions of the country in AI research and investment activity, accounting for about one-quarter of AI conference papers, patents, and companies in the US. Bay Area metro areas see levels of AI activity four times higher than other top cities for AI development.

“When you have a high percentage of all AI activity in Bay Area metros, you may be overconcentrating, losing diversity, and getting groupthink in the algorithmic economy. It locks in a winner-take-most dimension to this sector, and that’s where we hope that federal policy will begin to invest in new and different AI clusters in new and different places to provide a balance or counter,” Mark Muro, policy director at the Brookings Institution and the study’s coauthor, told WIRED.

Also relevant/see:

 

“Algorithms are opinions embedded in code.”

 

Graphic of digital audio for the article entitled An Edtech User’s Glossary to Speech Recognition and AI in the Classroom

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.

 

 

Personalized Learning Using AI — from datafloq.com by Dmitry Baraishuk

Excerpt:

Process of Implementing Personalized Learning Using AI

  • The system tested every learner using short quizzes and games. Then AI adapted the learning path to each learner’s knowledge of a topic based on the test results.
  • If a pilot struggled with a certain topic, the AI LMS repeated it by presenting the information in a new way.
  • After completing a section, every pilot was retested and progressed to the next module.

Personalized learning with AI encompasses all the core aspects of online training:

  • personalized learning path;
  • relevant content based on knowledge level, skills, interests, and goals;
  • automated knowledge checks;
  • prediction of knowledge gaps;
  • proactive learners’ support;
  • tutoring, etc.
 

Companies Need More Workers. Why Do They Reject Millions of Résumés? — from wsj.com by Kathryn Dill
Automated-hiring systems are excluding many people from job discussions at a time when additional employees are desperately needed

Excerpt:

Companies are desperate to hire, and yet some workers still can’t seem to find jobs. Here may be one reason why: The software that sorts through applicants deletes millions of people from consideration.

Employers today rely on increasing levels of automation to fill vacancies efficiently, deploying software to do everything from sourcing candidates and managing the application process to scheduling interviews and performing background checks. These systems do the job they are supposed to do. They also exclude more than 10…

 

 

The Fight to Define When AI Is ‘High Risk’ — from wired.com by Khari Johnson
Everyone from tech companies to churches wants a say in how the EU regulates AI that could harm people.

Excerpt:

The AI Act is one of the first major policy initiatives worldwide focused on protecting people from harmful AI. If enacted, it will classify AI systems according to risk, more strictly regulate AI that’s deemed high risk to humans, and ban some forms of AI entirely, including real-time facial recognition in some instances. In the meantime, corporations and interest groups are publicly lobbying lawmakers to amend the proposal according to their interests.

 

How Will Blockchain Technology Affect Law Firms? — from legalreader.com by Aleksandra Arsic
Blockchain and cryptocurrencies are here to stay. The technology might yet still be new when compared to the Internet as a whole, but it has already proved it’s ready for wider usage.

Excerpt:

With the dawn of the 21st century, many new and exciting technologies arrived, promising to take off the workload, streamline day-to-day operations, and improve finances. One of the hottest innovations in recent years has been the invention of blockchain.

While it may have started as a way to keep a ledger of Bitcoin transactions, blockchain has grown way beyond that. It has been adopted by many industries, including the legal. But, what is it, and how can it be implemented in a law firm environment? Let’s find out.

Also see:

You’re pretty familiar with artificial intelligence and machine learning in your everyday life. When you use a navigation app to see the fastest route to your destination – AI. When you ask your smart home device what time your favorite store opens – AI. And when your streaming device suggests shows you might like – yes, that’s AI, too.

While AI is becoming more and more mainstream in our homes, it’s also making its way into our jobs. You may be wondering what AI-enhanced legal technology can do for you and your law firm. Here are a few ways AI can (or already has) further advance your firm’s reputation and success.

So, what does AI look like for law firms?

 
 

From DSC:
Yet another example of the need for the legislative and legal realms to try and catch up here.

The legal realm needs to try and catch up with the exponential pace of technological change

 

 

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

 

 

Drexel Researchers Will Develop Artificial Intelligence Technologies for Adult Learning and Online Education as Part of $220 Million NSF Initiative — from drexel.edu with thanks to Ray Schroeder for this resource out on LinkedIn

Excerpt:

Researchers in Drexel University’s College of Computing & Informatics, who are studying artificial intelligence as a tool for teaching, have been selected to join a $220 million National Science Foundation initiative to expand the use of AI technology in areas ranging from agriculture and food supply chains to adult and online learning. Drexel’s team will join AI researchers from around the country in an effort to use the technology to make education more accessible for Americans who are adapting to rapidly changing workplaces. The NSF’s Adult Learning & Online Education (ALOE) Institute will be supported by $20 million over five years.

 

There’s a New Wave of AI Research Coming to Transform Education — from edsurge.com by Nadia Tamez-Robledo

Preparing for Students’ Second Act
With a focus on adult learners, the AI Institute for Adult Learning and Online Education, or ALOE, will look to improve online education for the more than 100 million American workers who will need to “reskill” over the next 10 years.

It will also learn from the massive amounts of data generated by online students that isn’t accessible in traditional in-person classes.

 

Intel expands AI education program to 18 total community colleges — from highereddive.com by Natalie Schwartz

Excerpt:

The technology giant is supplying curriculum and faculty development for participating schools, and is partnering with Dell to provide technical and infrastructure expertise for the program, which can lead to a certificate or associate degree.

The future of AI: Deeper insights, personalization and problem-solving stand to transform how we use AI across devices and industries — from protocol.com by Alex Katouzian

Excerpt:

What comes to mind when you think of AI? In the past, it might have been the Turing test, a sci-fi character or IBM’s Deep Blue-defeating chess champion Garry Kasparov. Today, instead of copying human intelligence, we’re seeing immense progress made in using AI to unobtrusively simplify and enrich our own intelligence and experiences. Natural language processing, modern encrypted security solutions, advanced perception and imaging capabilities, next-generation data management and logistics, and automotive assistance are some of the many ways AI is quietly yet unmistakably driving some of the latest advancements inside our phones, PCs, cars and other crucial 21st century devices. And the combination of 5G and AI is enabling a world with distributed intelligence where AI processing is happening on devices and in the cloud.

Latest Trends in Artificial Intelligence –from newark.com

Excerpt:

Over the past decade, Artificial Intelligence (AI) has meshed into various industries. The era witnessed a dramatic increase in tools, applications, and platforms based on AI and Machine Learning (ML). These technologies have impacted healthcare, manufacturing, law, finance, retail, real estate, accountancy, digital marketing, and several other areas.

Companies are investing in AI research to find out how they can bring AI closer to humans. By 2025 AI software revenues alone will reach above $100 billion globally (Figure 1). This means that we will continue seeing the advancement of AI and Machine Learning (ML)-related technology in foreseeable future. AI changes notably fast, so you’ll need to go out of your way to keep up with the latest trends if you want to stay as informed as possible. Let’s take a look at everything you need to know about the latest AI trends.

 

 

What doors does this type of real-time translation feature open up for learning? [Christian]

From DSC:
For that matter, what does it open up for #JusticeTech? #Legaltech? #A2J? #Telehealth?

 

Learning from the living class room

 

Australian Court Rules That Yes, AI Can Be an Inventor — from gizmodo.com by Shoshana Wodinsky
The overturned ruling bucks the trend we’ve previously seen in the US and UK.

Excerpt:

In what can only be considered a triumph for all robot-kind, this week, a federal court has ruled that an artificially intelligent machine can, in fact, be an inventor—a decision that came after a year’s worth of legal battles across the globe.

The ruling came on the heels of a years-long quest by University of Surrey law professor Ryan Abbot, who started putting out patent applications in 17 different countries across the globe earlier this year.

 
© 2024 | Daniel Christian