From DSC:
Wow…I hadn’t heard of voice banking before. This was an interesting item from multiple perspectives.

Providing a creative way for people with Motor Neurone Disease to bank their voices, I Will Always Be Me is a dynamic and heartfelt publication — from itsnicethat.com by Olivia Hingley
Speaking to the project’s illustrator and creative director, we discover how the book aims to be a tool for family and loved ones to discuss and come to terms with the diagnosis.

Excerpt:

Whilst voice banking technology is widely available to those suffering from MND, Tal says that the primary problem is “that not enough people are banking their voice because the process is long, boring and solitary. People with MND don’t want to sit in a lonely room to record random phrases and sentences; they already have a lot to deal with.” Therefore, many people only realise or interact with the importance of voice banking when their voice has already deteriorated. “So,” Tal expands, “the brief we got was: turn voice banking into something that people will want to do as soon as they’re diagnosed.”

 

The Great Resignation: The toll taken on the legal field and what comes next — from abajournal.com by Thomas MacDonald

Excerpt:

The pandemic has reshaped thinking around the value of work. The Thomson Reuters Stellar Performance: Skills and Progression Mid-Year Survey uncovered three specific priorities legal professionals are factoring into their career decisions.

  • Balance: Young professionals are more in tune with work-life balance and place a higher value on mental well-being, leisure and other activities outside of work than previous generations.
  • Family: A higher percentage of the professional workforce are mothers. Likewise, men are taking a more active role in child-rearing than previous generations, as younger professionals juggle more domestic responsibilities across the board.
  • The Long Game: Many Generation X and millennial employees have long since conceded that their retirement will likely come much later in life than their elder counterparts. The prospect of working for an extra decade—or more—has tempered the enthusiasm for grinding away during their formative years.

Also relevant/see the following articles:

8 Legal Experts on the Future of the Billable Hour — from artificiallawyer.com

Excerpt:

Are you still billing by the hour? The reality is that most lawyers are and plenty will still be using it in the year 2032. However, many legal experts agree: the billable hour is under pressure, forcing lawyers to investigate other billing methods as well.

Laura Rosseel, Senior Associate at Cambrian, explains clearly why the billable hour is a topic for discussion: ‘There are countless arguments against working with billable hours. Invoicing based on billable hours puts the risk of both unpredictability in the scope of work as well as potential inefficiency on the client, instead of the law firm that is providing the service.

‘It does not differentiate based on the value of the task at hand, the urgency, or the time of day (or night), with which the task is carried out. Additionally, it is a performance metric for lawyers that favours working more over working better, and the relentless pressure is causing junior and mid-level lawyers to leave their firms.’

Digital exhaustion: Redefining work-life balance — from enterprisersproject.com by Irvin Bishop Jr.
Is your team suffering from the digital exhaustion that so often comes with remote and hybrid work? Consider these strategies to ease the stress

As workers continue to create and collaborate in digital spaces, one of the best things we can do as leaders is to let go. Let go of preconceived schedules, of always knowing what someone is working on, of dictating when and how a project should be accomplished – in effect, let go of micromanagement. Instead, focus on hiring productive, competent workers and trust them to do their jobs. Don’t manage tasks – gauge results. Use benchmarks and deadlines to assess effectiveness and success.

What did we learn at the CLOC Conference? — from zachabramowitz.substack.com by Zach Abramowitz
QR Codes, Outside Counsel Startups Make Great Shirts and Standing Out in a Sea of CLM

Some of the tools/products/vendors Zach mentioned were:

 

Ransomware is already out of control. AI-powered ransomware could be ‘terrifying.’ — from protocol.com by Kyle Alspach
Hiring AI experts to automate ransomware could be the next step for well-endowed ransomware groups that are seeking to scale up their attacks.

Excerpt:

In the perpetual battle between cybercriminals and defenders, the latter have always had one largely unchallenged advantage: The use of AI and machine learning allows them to automate a lot of what they do, especially around detecting and responding to attacks. This leg-up hasn’t been nearly enough to keep ransomware at bay, but it has still been far more than what cybercriminals have ever been able to muster in terms of AI and automation.

That’s because deploying AI-powered ransomware would require AI expertise. And the ransomware gangs don’t have it. At least not yet.

But given the wealth accumulated by a number of ransomware gangs in recent years, it may not be long before attackers do bring aboard AI experts of their own, prominent cybersecurity authority Mikko Hyppönen said.

Also re: AI, see:

Nuance partners with The Academy to launch The AI Collaborative — from artificialintelligence-news.com by Ryan Daws

Excerpt:

Nuance has partnered with The Health Management Academy (The Academy) to launch The AI Collaborative, an industry group focused on advancing healthcare using artificial intelligence and machine learning.

Nuance became a household name for creating the speech engine recognition engine behind Siri. In recent years, the company has put a strong focus on AI solutions for healthcare and is now a full-service partner of 77 percent of US hospitals and is trusted by over 500,000 physicians daily.

Inflection AI, led by LinkedIn and DeepMind co-founders, raises $225M to transform computer-human interactions — from techcrunch.com by Kyle Wiggers

Excerpts:

Inflection AI, the machine learning startup headed by LinkedIn co-founder Reid Hoffman and founding DeepMind member Mustafa Suleyman, has secured $225 million in equity financing, according to a filing with the U.S. Securities and Exchange Commission.

“[Programming languages, mice, and other interfaces] are ways we simplify our ideas and reduce their complexity and in some ways their creativity and their uniqueness in order to get a machine to do something,” Suleyman told the publication. “It feels like we’re on the cusp of being able to generate language to pretty much human-level performance. It opens up a whole new suite of things that we can do in the product space.”

 

The Future of Work and the Jobs we might have in 2040 — from futurist.com by Nikolas Badminton & Marianne Powers

Excerpt:

So, let’s set our sights on a future horizon of 2040 and we can wonder what the future of work and the future of jobs for our children may be. The world may feel and look the same but underneath we’ll need people to transition to new careers to support the hyper-fast, data-obsessed world. Let’s take a look at the Future of Work and Jobs in 2040

  • Human-centred Designers and Ethicists
  • Artificial Intelligence Psychologists
  • Metaverse Architects
 

AI research is a dumpster fire and Google’s holding the matches — from thenextweb.com by Tristan Greene
Scientific endeavor is no match for corporate greed

Excerpts:

The world of AI research is in shambles. From the academics prioritizing easy-to-monetize schemes over breaking novel ground, to the Silicon Valley elite using the threat of job loss to encourage corporate-friendly hypotheses, the system is a broken mess.

And Google deserves a lion’s share of the blame.

Google, more than any other company, bears responsibility for the modern AI paradigm. That means we need to give big G full marks for bringing natural language processing and image recognition to the masses.

It also means we can credit Google with creating the researcher-eat-researcher environment that has some college students and their big-tech-partnered professors treating research papers as little more than bait for venture capitalists and corporate headhunters.

But the system’s set up to encourage the monetization of algorithms first, and to further the field second. In order for this to change, big tech and academia both need to commit to wholesale reform in how research is presented and reviewed.

Also relevant/see:

Every month Essentials publish an Industry Trend Report on AI in general and the following related topics:

  • AI Research
  • AI Applied Use Cases
  • AI Ethics
  • AI Robotics
  • AI Marketing
  • AI Cybersecurity
  • AI Healthcare

It’s never too early to get your AI ethics right — from protocol.com by Veronica Irwin
The Ethical AI Governance Group wants to give startups a framework for avoiding scandals and blunders while deploying new technology.

Excerpt:

To solve this problem, a group of consultants, venture capitalists and executives in AI created the Ethical AI Governance Group last September. In March, it went public, and published a survey-style “continuum” for investors to use in advising the startups in their portfolio.

The continuum conveys clear guidance for startups at various growth stages, recommending that startups have people in charge of AI governance and data privacy strategy, for example. EAIGG leadership argues that using the continuum will protect VC portfolios from value-destroying scandals.

 

Radar trends to watch: May 2022 — from oreilly.com
Developments in Web3, Security, Biology, and More

Excerpt:

April was the month for large language models. There was one announcement after another; most new models were larger than the previous ones, several claimed to be significantly more energy efficient.

 

China is about to regulate AI—and the world is watching — from wired.com by Jennifer Conrad
Sweeping rules will cover algorithms that set prices, control search results, recommend videos, and filter content.

Excerpt:

Some provisions aim to address complaints about online services. Under the rules, for instance, companies will be prohibited from using personal characteristics to offer users different prices for a product; they also will be required to notify users, and allow them to opt out, when algorithms are used to make recommendations.

Companies that violate the rules could face fines, be barred from enrolling new users, have their business licenses pulled, or see their websites or apps shut down.

Some elements of the new regulations may prove difficult or impossible to enforce. It can be technically challenging to police the behavior of an algorithm that is continually changing due to new input, for instance.

 

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

 

This Week’s Awesome Tech Stories From Around the Web (Through April 30) — from singularityhub.com by Singularity Hub Staff

Topics include:

  • Computing
  • Robotics
  • Nanotechnology
  • Technology
  • Gadgets
  • Space
  • AI
  • AR

 

 

Remote court transcription technology enables virtual court appearances — from abajournal.com by Nicole Black

Excerpts:

That’s why it’s imperative to make certain remote options are available for all aspects of legal work since doing so is the only way to guarantee the justice system doesn’t come to a grinding halt. One way to prevent that is to take advantage of the virtual deposition transcription tools I discussed in last month’s column. In that article, I provided an overview of virtual deposition transcription products and services that rely on videoconferencing tools and software platforms to facilitate remote depositions.

Another way business continuity has been maintained since March 2020 is via virtual court proceedings. Remote court appearances are now more common since courts periodically shifted to partial or fully remote operations throughout the pandemic. Many judges have become accustomed to and appreciate the convenience of virtual court proceedings, and many expect them to continue even after the pandemic ends.

Because all signs point to the continuation of virtual court proceedings, I promised in last month’s article that I would focus on remote court proceeding options in this column. These include software platforms and artificial intelligence language-processing tools that facilitate remote court proceedings.

Nicole’s article mentioned the following vendor/product:

Live Litigation -- Remote Solutions for Attending and Participating in Depositions, Trials, Hearings, Arbitrations, Mediations, Witness Prep, and more.

 

The amazing opportunities of AI in the future of the educational metaverse [Darbinyan]

The amazing opportunities of AI in the future of the educational metaverse — from forbes.com by Rem Darbinyan

Excerpt:

Looking ahead, let’s go over several potential AI-backed applications of the metaverse that can empower the education industry in many ways.

Multilingual Learning Opportunities
Language differences may be a real challenge for students from different cultures as they may not be able to understand and keep up with the materials and assignments. Artificial intelligence, VR and AR technologies can enhance multilingual accessibility for learners no matter where they are in the world. Speech-to-text, text-to-speech and machine translation technologies enrich the learning process and create more immersive learning environments.

AI can process multiple languages simultaneously and provide real-time translations, enabling learners to engage with the materials in the language of their choice. With the ability to instantly transcribe speech across multiple languages, artificial intelligence removes any language barriers for students, enabling them to be potentially involved, learn and communicate in any language.

Artificial Intelligence (AI) in Education Market size exceeded USD 1 billion in 2020 and is expected to grow at a CAGR of over 40% between 2021 and 2027. (source)

Along the lines of innovation within our educational learning ecosystems, see:

3 Questions for Coursera’s Betty Vandenbosch & U-M’s Lauren Atkins Budde on XR — from insidehighered.com by Joshua Kiim
How might extended reality shape the future of learning?

Excerpts (emphasis DSC):

[Lauren Atkins Budde] “Being able to embed quality, effective extended reality experiences into online courses is exponentially a game-changer. One of the persistent constraints of online learning, especially at scale, is how do learners get hands-on practice? How do they experience specific contexts and situations? How do they learn things that are best experienced? XR provides that opportunity for actively doing different kinds of tasks, in various environments, in ways that would otherwise not be possible. It will open up  Lauren Atkins Buddeboth how we teach online and also what we teach online.”

These courses are really exciting and cover a broad range of disciplines, which is particularly important. To choose the right subjects, we did an extensive review of insights from industry partners, learners and market research on in-demand and emerging future-of-work skills and then paired that with content opportunities where immersive learning is really a value-add and creates what our learning experience designers call “embodied learning.”

Addendum on 5/1/22:
Can the Metaverse Improve Learning? New Research Finds Some Promise — from edsurge.com by Jeffrey R. Young

“The findings support a deeper understanding of how creating unique educational experiences that feel real (i.e., create a high level of presence) through immersive technology can influence learning through different affective and cognitive processes including enjoyment and interest,” Mayer and his colleagues write.

 

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

 

The Pros and Cons of Developing AI-Powered Corporate Training Videos with Synthesia — from blog.commlabindia.com by Saritha Esaboyuna
Synthesia is a game-changing invention that uses AI (Artificial Intelligence) to generate videos from text inputs. It enables designers to not only natively localise content but also to create and update existing films.

Excerpt:

You don’t need an editing studio, expensive equipment, or a high-end video editing program to design a video. All you need is Synthesia. Actors, cameras, and microphones are no longer required! You can produce high quality AI-enabled videos in over 50 languages just by adding text with Synthesia.

 

Also see:

From DSC:
Teachers and faculty members might want to try this out as well — especially if you have multiple languages being spoken in your classroom. And/or perhaps IT Departments and Help Desks could look at this as well.

 

 

Why One University Is Moving Toward a Subscription Model — a podcast from edsurge.com by Jeffrey R. Young

Excerpts:

One big theme in education-innovation circles is that the professional world is changing faster than ever, and so schools and colleges must adjust how they teach to meet those needs.

One college in St. Louis, Maryville University, is embracing that argument in a big way by revamping its curriculum and even changing its business model to include options like a subscription model—with the goal of helping its students get good jobs after graduation.

“By the end of this decade or before, students should pay for higher ed the way they pay for Netflix or their cell phone bill,” Lombardi says.

From DSC:
I thought this was an interesting conversation and I agreed with much of what Mark Lombardi, President of Maryville University, had to say. 

I appreciated Jeff’s attempts at trying to get Mark to hear that “learning styles” aren’t supported by the research. I wish Mark would have used the word “preferences” instead…as I do think learners have preferences when it comes to them learning about new topics.

 

 

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:

 
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