2022 Winners of the LegalTech Breakthrough Awards — from legaltechbreakthrough.com

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Also see:

With the cost of international air travel rising sharply, remote hearings are a practical alternative to in-person proceedings. International travel is expensive, and the virtual option means that it is no longer necessary to count travel as a “cost of doing business” when pursuing an international dispute. The widespread use of technology in global dispute resolution proceedings gives attorneys and their clients the option to participate remotely, which is a compelling cost saver for all parties. 

  • Most debt lawsuits get decided without a fight. Michigan leaders want to change the rules. — from mlive.com by Matthew Miller
    Excerpt:
    Most of the 1.9 million debt collection cases filed in Michigan’s district courts over the past decade or so never went to trial. Usually, the defendants don’t show up to court, and debt collectors win by default, according to data compiled by the Michigan Justice for All Commission. In most cases, the courts end up garnishing defendants’ wages, income tax returns or other assets, sometimes on the basis of complaints that include little more than the name of the creditor, an account number and the balance due.

And both debt lawsuits and garnishment are more common for people living in primarily Black neighborhoods, regardless of their income.

Members of the Commission say Michigan’s rules around debt collection lawsuits don’t do enough to protect regular people, who sometimes don’t find out they’ve been sued until they see money coming out of their paychecks.

They say those rules need to change.

An early participant in the Law Society of BC’s Innovation Sandbox, the Clinic offers the in-person and virtual help of 25 articling students located in 15 different BC communities —from Tofino to Cranbrook— with the support of 15 supervising lawyers, four staff and dozens of local mentors. Together, they provide fixed-fee services in a wide range of areas covering everyday legal problems.

 

25 Transferable Skills Employers Look For in 2022 — from wikijob.co.uk by Nikki Dalea; with thanks to Ryan Mein for this resource

Excerpt:

Transferable skills combine competencies, knowledge and skills that you have gained from the workplace during your career path, from school, internships or elsewhere and take with you to your next employment or career change.

General skills that can be used in different employment roles come under the transferable skills banner; they can be used in various industries and in roles at other seniority levels.

These can be hard skills – technical knowledge like using specific software – and soft skills, the competencies and abilities that are harder to be taught, like active listening and communication.

Communication, problem solving and teamwork are all examples of transferable job skills because they can be used in any employed role, your education or vocational training.

 

‘A tipping point for higher ed’: Google launches new, low-cost online programs for high-demand jobs — from fortune.com by Sydney Lake

Excerpt:

Higher education has benefits ranging from career development to skill building to network development—but it certainly can come at a high cost. The average cost of college in the U.S. is more than $35,000 per year, according to the Education Data Initiative. And these students average about $37,000 in student loan debt.

Lisa Gevelber, founder of Grow with Google, came to the tech giant with a proposition: Help people “realize their full economic potential” by offering low-cost educational programs focused on high-demand industries. In 2017, Gevelber saw her idea come to life when Google committed $1 billion toward this Grow with Google mission, and the following year the tech giant launched the Google Career Certificates.

[On 10/13/22], Grow with Google takes this program a step further by developing university-industry partnerships. Grow with Google tells Fortune exclusively of the launch of its partnerships with top universities to offer specialized career certificates. These specialized programs build on Grow with Google’s existing programs, but offer more industry-specific take on the material.

 

U-M partners with Google to offer job-ready tech skills program — from record.umich.edu by Sean Corp

Excerpt:

A new flexible online training program on data science will prepare job-seekers in Michigan and beyond to quickly enter one of the fastest-growing labor markets and advance their careers.

The Center for Academic Innovation created the program, “Data Analytics in the Public Sector with R,” for data science and other professionals interested in how public data sets can drive decisions and policymaking in the public sector. The course complements current Google career certificates, flexible online “Grow with Google” job-training programs for high-demand fields.

Also relevant/see:

Google Cloud and edX Partner to Launch Cloud Computing Professional Certificate — from prnewswire.com 2U, Inc.

Excerpt:

MOUNTAIN VIEW, Calif. and CAMBRIDGE, Mass., Oct. 12, 2022 /PRNewswire/ — Google Cloud and edX, a leading global online learning platform from 2U, Inc. (Nasdaq: TWOU), today announced the launch of a Professional Certificate program in Google Cloud Computing Foundations. The certificate will bring edX’s global community of 45 million learners access to skills that are central to cloud basics, big data, machine learning, and where and how Google Cloud fits in. Registration is open today at www.edx.org, with courses beginning November 2022.

“We are excited to launch our Google Cloud training content on the edX platform,” said Chris Pirie, Director of Google Cloud Learning Profile and Partnerships. “This partnership presents a fantastic opportunity for learners around the world to build in-demand cloud skills on a proven learning platform.”

 

Data Science: Re-Imagining Our Institutions at the Systems Level — from campustechnology.com by Mary Grush
A Q&A with George Siemens

Excerpt:

We know that higher education institutions have been exploring data science for decades. Many began by leveraging institutional data to serve administrative computing needs and efficiencies, later taking on an additional learning science focus, at least to some, often limited degree.

What can institutions do now, to use data science better and perhaps reinvent themselves in the process? Are they taking advantage of all the access they have to so many disciplines and researchers, to help move data science ahead in the real world? Here, George Siemens, who is a professor of practice at the University of Texas-Arlington and co-leads the Centre for Change and Complexity in Learning at the University of South Australia, talks with CT about data science in higher education.

 

Learning from Our Students: Student Perspectives on Good Teaching — from everylearnereverywhere.org; with thanks to Beth McMurtrie for this resource

Excerpt (emphasis DSC):

Twenty-two students trusted us with their stories and their reflections on good teaching. We honor that trust and hope that instructors who read this document gain as much insight about teaching from the students as we did. While we often write of students in the plural, each one of these students had an individual experience with learning and therefore a unique story to tell about good teaching. The key takeaways from their stories are:

  1. Students want to be recognized as individuals and appreciated in the classroom.
  2. Students want real life in the classroom.
  3. Students want to be treated with respect and trust.

We hope readers will likewise ask their own students, “What do your best instructors do?” and use that feedback to continuously improve their craft as teachers.

Out of 22 students:

active learning and a sense of belonging were the most frequently mentioned items from these 22 students

 

Tearing the ‘paper ceiling’: McKinsey supports effort driving upward mobility for millions of workers — from mckinsey.com

Excerpt:

September 23, 2022There’s a hidden talent pool that most employers overlook—the more than 70 million workers in the US who are STARs, or workers ‘skilled through alternative routes.’ Whether through community college, workforce training, bootcamp or certificate programs, military service, or on-the-job learning, STARs have the skills for higher-wage jobs but often find themselves blocked from consideration.

This week, nonprofit Opportunity@Work and the Ad Council have launched a nationwide campaign to ‘Tear the Paper Ceiling’ and encourage employers to change hiring practices. McKinsey is providing pro bono support to the effort through data and analytics tools that enable recruiters to recognize STARs and their skills.

“While companies scramble to find talent amid a perceived skills gap, many of their job postings have needlessly excluded half of the workers in the country who have the skills for higher-wage work,” says Byron Auguste, founder of Opportunity@Work and a former senior partner at McKinsey. “Companies like the ones we’re proud to call partners in this effort—and those we hope will join—can lead the way by tapping into skilled talent from a far wider range of backgrounds.”

There are lots of reasons why someone might not begin or complete a degree that have nothing to do with their intrinsic abilities or potential. We know there are better ways to screen for talent and now we have the research and tools to back that up.

Carolyn Pierce, McKinsey partner

Also from McKinsey, see:

Latest McKinsey tech outlook identifies 14 key trends for business leaders

Excerpt:

October 4, 2022 The McKinsey Technology Council—a global group of over 100 scientists, entrepreneurs, researchers, and business leaders—has published its second annual Technology Trends Outlook. By assessing metrics of innovation, interest, investment, and adoption, the council has prioritized and synthesized 40 technologies into 14 leading trends.

Following on from last year, applied AI once again earned the highest score for innovation in the report. Sustainability, meanwhile, emerged as a major catalyst for tech around the world, with clean energy and sustainable consumption drawing the highest investment from private-equity and venture-capital firms. And five new trends were added to this year’s edition: industrializing machine learning, Web3, immersive-reality technologies, the future of mobility, and the future of space.

In this post, McKinsey senior partner Lareina Yee, expert partner Roger Roberts, and McKinsey Global Institute partner Michael Chui share their thoughts about what the findings may mean for leaders over the next few years.

 

#ILTACON22 Day One Roundup: News from DISCO, Docket Alarm, LexFusion, Relativity and Reveal — from legaltechmonitor.com by Bob Ambrogi

Excerpt:

[8/22/22] kicks off the first full day of ILTACON22, the annual conference of the International Legal Technology Association. Already, the day has brought a slew of news announcements from legal technology companies.

Here is a roundup of news announced this morning.

 

15 technical skills employers look for in 2022 — from wikijob.co.uk by Nikki Dale

Excerpts:

A technical skill is the ability to carry out a task associated with technical roles such as IT, engineering, mechanics, science or finance. A typical technical skill set might include programming, the analysis of complex figures or the use of specific tools.

Technical skills are sometimes referred to as ‘hard skills’ because you can learn how to do them and, in some cases, get qualified or at least certified.

Some technical skills employers are looking for include:

 


Ways that artificial intelligence is revolutionizing education — from thetechedvocate.org by Matthew Lynch

Excerpt:

I was speaking with an aging schoolteacher who believes that AI is destroying education. They challenged me to come up with 26 ways that artificial intelligence (AI) is improving education, and instead, I came up with. They’re right here.


AI Startup Speeds Healthcare Innovations To Save Lives — from by Geri Stengel

Excerpt:

This project was a light-bulb moment for her. The financial industry had Bloomberg to analyze content and data to help investors uncover opportunities and minimize risk, and pharmaceutical, biotech, and medical device companies needed something similar.



 

The 2022 L&D Global Sentiment Survey — from donaldtaylor.co.uk by Donald Taylor

Excerpt:

This year’s L&D Global Sentiment Survey, the ninth, shows L&D at a turning point, as the result of two forces. One is the demands of organisations, as they emerge from the pandemic, for more training delivery, very often with unchanged or reduced resources for L&D. The other is the need to deal with the emergency measures put in place in 2020 to deal with the immediate impact of COVID-19.

This sense of practitioners being under pressure is amply illustrated by responses to the free text question ‘What is your biggest L&D challenge in 2022?’ 40% of respondents answered, with the answers painting a picture of practitioners being asked to do more, in difficult circumstances, to support the learning of overworked employees and uninterested employers.

It is tempting to see this as a return to business-as-usual for L&D. Hasn‘t it always been the case that the department needed to fight for the attention of both executives and employees? Behind this undeniable reality, however, there are definite signs of longer-term trends emerging.


 


 

How to ensure we benefit society with the most impactful technology being developed today — from deepmind.com by Lila Ibrahim

In 2000, I took a sabbatical from my job at Intel to visit the orphanage in Lebanon where my father was raised. For two months, I worked to install 20 PCs in the orphanage’s first computer lab, and to train the students and teachers to use them. The trip started out as a way to honour my dad. But being in a place with such limited technical infrastructure also gave me a new perspective on my own work. I realised that without real effort by the technology community, many of the products I was building at Intel would be inaccessible to millions of people. I became acutely aware of how that gap in access was exacerbating inequality; even as computers solved problems and accelerated progress in some parts of the world, others were being left further behind. 

After that first trip to Lebanon, I started reevaluating my career priorities. I had always wanted to be part of building groundbreaking technology. But when I returned to the US, my focus narrowed in on helping build technology that could make a positive and lasting impact on society. That led me to a variety of roles at the intersection of education and technology, including co-founding Team4Tech, a non-profit that works to improve access to technology for students in developing countries. 


Also relevant/see:

Microsoft AI news: Making AI easier, simpler, more responsible — from venturebeat.com by Sharon Goldman

But one common theme bubbles over consistently: For AI to become more useful for business applications, it needs to be easier, simpler, more explainable, more accessible and, most of all, responsible

 

 

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

 
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