Fully online courses are #1 requirement for many working learners — from campustechnology.com by Rhea Kelly

Excerpt:

A recent report found that four out of five working learners do some of their learning online, and more than half (53 percent) are enrolled in courses that are entirely online. In fact, 42 percent of respondents said that “offering fully online classes and coursework” was their most important factor when choosing a school for continued education.

 

FTI 2020 Trend Report for Entertainment, Media, & Technology [FTI]

 

FTI 2020 Trend Report for Entertainment, Media, & Technology — from futuretodayinstitute.com

Our 3rd annual industry report on emerging entertainment, media and technology trends is now available.

  • 157 trends
  • 28 optimistic, pragmatic and catastrophic scenarios
  • 10 non-technical primers and glossaries
  • Overview of what events to anticipate in 2020
  • Actionable insights to use within your organization

KEY TAKEAWAYS

  • Synthetic media offers new opportunities and challenges.
  • Authenticating content is becoming more difficult.
  • Regulation is coming.
  • We’ve entered the post-fixed screen era.
  • Voice Search Optimization (VSO) is the new Search Engine Optimization (SEO).
  • Digital subscription models aren’t working.
  • Advancements in AI will mean greater efficiencies.

 

 

Emerging Tech Trend: Patient-Generated Health Data — from futuretodayinstitute.com — Newsletter Issue 124

Excerpt:

Near-Futures Scenarios (2023 – 2028):

Pragmatic: Big tech continues to develop apps that are either indispensably convenient, irresistibly addictive, or both, and we pay for them, not with cash, but with the data we (sometimes unwittingly) let the apps capture. But for the apps for health care and medical insurance, the stakes could literally be life-and-death. Consumers receive discounted premiums, co-pays, diagnostics and prescription fulfillment, but the data we give up in exchange leaves them more vulnerable to manipulation and invasion of privacy.

Catastrophic: Profit-driven drug makers exploit private health profiles and begin working with the Big Nine. They use data-based targeting to over prescribe patients, netting themselves billions of dollars. Big Pharma target and prey on people’s addictions, mental health predispositions and more, which, while undetectable on an individual level, take a widespread societal toll.

Optimistic: Health data enables prescient preventative care. A.I. discerns patterns within gargantuan data sets that are otherwise virtually undetectable to humans. Accurate predictive algorithms identifies complex combinations of risk factors for cancer or Parkinson’s, offers early screening and testing to high-risk patients and encourages lifestyle shifts or treatments to eliminate or delay the onset of serious diseases. A.I. and health data creates a utopia of public health. We happily relinquish our privacy for a greater societal good.

Watchlist: Amazon; Manulife Financial; GE Healthcare; Meditech; Allscripts; eClinicalWorks; Cerner; Validic; HumanAPI; Vivify; Apple; IBM; Microsoft; Qualcomm; Google; Medicare; Medicaid; national health systems; insurance companies.

 

AI hiring could mean robot discrimination will head to courts — from news.bloomberglaw.com by Chris Opfer

  • Algorithm vendors, employers grappling with liability issues
  • EEOC already looking at artificial intelligence cases

Excerpt:

As companies turn to artificial intelligence for help making hiring and promotion decisions, contract negotiations between employers and vendors selling algorithms are being dominated by an untested legal question: Who’s liable when a robot discriminates?

The predictive strength of any algorithm is based at least in part on the information it is fed by human sources. That comes with concerns the technology could perpetuate existing biases, whether it is against people applying for jobs, home loans, or unemployment insurance.

From DSC:
Are law schools and their faculty/students keeping up with these kinds of issues? Are lawyers, judges, attorney generals, and others informed about these emerging technologies?

 

As pressure to upskill grows, 5 models emerge — from forbes.com by Allison Dulin Salisbury

Excerpt:

The Business Roundtable made big news in August when it redefined the role of corporations to focus on not just share price, but stakeholders. According to the nearly 200 CEOS who joined the statement, making that shift requires that employers not only compensate employees fairly, and provide “important benefits,” it  “includes supporting them through training and education that help develop new skills for a rapidly changing world.”

Whatever your preferred statistics, the message is clear: Millions of American workers need new skills, and that number is only set to grow. This talent mismatch isn’t just bad for individuals, it’s a challenge to businesses’ continued productivity and growth. That makes investments that help workers build new skills, and chart a course toward economic mobility, not only mission-aligned—but a business imperative. 

In response to a growing imperative, we are experiencing a sort of renaissance at the intersection of education and corporate training.  

 

As pressure to upskill grows, 5 models emerge

 

Five principles for thinking like a futurist — from er.educause.edu by Marina Gorbis
Thinking about the future allows us to imagine what kind of future we want to live in and how we can get there.

Excerpt:

In my twenty years at the Institute, I’ve developed five core principles for futures thinking:

  • Forget about predictions.
  • Focus on signals.
  • Look back to see forward.
  • Uncover patterns.
  • Create a community.

 

 

Law librarians & the future of law firms — from aallnet.org by Jordan Furlong

Excerpt:

Law firms that want to win the highest-value, most complex work from clients will need more than just smart lawyers. They will need powerful knowledge engines to augment and amplify the skills of those lawyers, while also constituting capital assets that accrue in size and value every year. Law libraries and legal information professionals hold the key to assembling and growing such engines, and they are, therefore, the key to the future sustainability and competitiveness of the firms themselves.

 

There are major issues with AI. This article shows how far the legal realm is in wrestling with emerging technologies.

What happens when employers can read your facial expressions? — from nytimes.com by Evan Selinger and Woodrow Hartzog
The benefits do not come close to outweighing the risks.

Excerpts:

The essential and unavoidable risks of deploying these tools are becoming apparent. A majority of Americans have functionally been put in a perpetual police lineup simply for getting a driver’s license: Their D.M.V. images are turned into faceprints for government tracking with few limits. Immigration and Customs Enforcement officials are using facial recognition technology to scan state driver’s license databases without citizens’ knowing. Detroit aspires to use facial recognition for round-the-clock monitoring. Americans are losing due-process protections, and even law-abiding citizens cannot confidently engage in free association, free movement and free speech without fear of being tracked.

 “Notice and choice” has been an abysmal failure. Social media companies, airlines and retailers overhype the short-term benefits of facial recognition while using unreadable privacy policiesClose X and vague disclaimers that make it hard to understand how the technology endangers users’ privacy and freedom.

 

From DSC:
This article illustrates how far behind the legal realm is in the United States when we look at where our society is at with wrestling with emerging technologies. Dealing with this relatively new *exponential* pace of change is very difficult for many of our institutions to deal with (higher education and the legal realm come to my mind here).

 

 

Exploring Artificial Intelligence and the Law — a presentation/video by Avi Brudner, from blue J Legal

 Exploring Artificial Intelligence and the Law

 

Exploring Artificial Intelligence and the Law

 

Exploring Artificial Intelligence and the Law

 

 

 

 

3 reasons KM and learning systems will soon be amazing — from blog.feathercap.net by Feathercap staff; with thanks to Mr. Tim Seager for this resource

Excerpt:

We’re at an amazing time today as all manner of learning vendors and knowledge management systems are going through a renaissance. Vendors have understood that no one has time to learn required job skills as a separate learning event, and must gain the skills they need in real time as they perform their jobs. A big driver are the technology changes such as the availability of AI approaches accelerating this trend.

From the Knowledge management (KM) providers to the Learning Management Systems (LMS), we’re seeing big improvements. For over a decade LMSs in their present form track and deliver on-demand learning and classroom training. Then came micro learning vendors, with a focus on bite size / 10 min or less training with the Knowledge management (KM) tools and systems growing at the same time. KMs were built to make findable the institutional knowledge an organization uses for each person to do their job. Finally, we have Learning Experience Platforms (LXP), which focus on delivering and recommending micro and macro learning content (macro – longer than 10 minutes to consume) at the moment of need. There has been a downside to all of these approaches however, they all require the workforce, SMEs and content authors to manicure all this content to ensure it is both fresh and useful. Here are the three reasons all of these approaches will soon be amazing…

 

 

Delivering learning across a lifetime: Higher education’s new paradigm — from evolllution.com with thanks to Mr. Amrit Ahluwalia for his work on this

Excerpt:

Higher education is no longer a single engagement in an individual’s life, or a stop-off point between high school and a career.
Today, and into the future, higher education’s role is ongoing as the demands of the future labor market will require individuals to continuously up-skill and re-skill to remain relevant. As such, while the traditional two- or four-year postsecondary model will continue to play an important role, colleges and universities must expand their repertoire to consciously deliver learning across individuals’ lifetimes.

Read on to learn how the 100 Year Life is changing the fundamental learning needs of individuals across the labor market, and to understand how postsecondary institutions can evolve to fulfil their missions within this new paradigm.

 

From DSC:
This important perspective/trend reminds me of the graphic below…

 

Also see:

 

60 years of higher ed --really?

 

The employee of the future, he added, “typically will have a new job every five years, probably for 60 to 80 years, and probably every one of those will require skills you did not learn in college.”

 

Can you make AI fairer than a judge? Play our courtroom algorithm game — from technologyreview.com by Karen Hao and Jonathan Stray
Play our courtroom algorithm game The US criminal legal system uses predictive algorithms to try to make the judicial process less biased. But there’s a deeper problem.

Excerpt:

As a child, you develop a sense of what “fairness” means. It’s a concept that you learn early on as you come to terms with the world around you. Something either feels fair or it doesn’t.

But increasingly, algorithms have begun to arbitrate fairness for us. They decide who sees housing ads, who gets hired or fired, and even who gets sent to jail. Consequently, the people who create them—software engineers—are being asked to articulate what it means to be fair in their code. This is why regulators around the world are now grappling with a question: How can you mathematically quantify fairness? 

This story attempts to offer an answer. And to do so, we need your help. We’re going to walk through a real algorithm, one used to decide who gets sent to jail, and ask you to tweak its various parameters to make its outcomes more fair. (Don’t worry—this won’t involve looking at code!)

The algorithm we’re examining is known as COMPAS, and it’s one of several different “risk assessment” tools used in the US criminal legal system.

 

But whether algorithms should be used to arbitrate fairness in the first place is a complicated question. Machine-learning algorithms are trained on “data produced through histories of exclusion and discrimination,” writes Ruha Benjamin, an associate professor at Princeton University, in her book Race After Technology. Risk assessment tools are no different. The greater question about using them—or any algorithms used to rank people—is whether they reduce existing inequities or make them worse.

 

You can also see change in these articles as well:

 

 

Priorities for new lawyers are changing. Can the legal industry keep up? — — from law.com by Annie Datesh, Natasha Allen, and Nicole Hatcher, Atrium
As the legal field continues to move forward, it is well-primed to place greater value on technological advancements, diverse leadership, and healthy work cultures over settling for the status quo.

Excerpts:

Yet the legal industry these lawyers are joining is evolving, and now increasingly hosts a new cohort of professionals—those shaped by technology and innovation, and who value diversity, mentorship, and efficiency over homogeneous workplaces with minimal coaching and exhausted capacities.

Amid a strengthening job market, why are jobs in a generally well-respected industry being looked over in favor of other industries? One reason could be the legal industry’s notorious lack of progressiveness. The industry’s technology landscape is one such area of slow growth; its lack of diversity is another.

The legal industry’s long-standing dismissal of technology, while slowly changing, is fairly well known. While legal technology holds enormous potential for law firms, the industry as a whole has been famously slow to adopt modern technologies or meaningfully innovate on the traditional law firm business model. Why? For smaller firms, money can be tight, and solutions can be expensive.

 

The good news is that the legal industry is slowly but surely becoming more receptive to the benefits of evolving its traditional approach to the business and practice of law. Legal technologies continue to offer increased efficiencies to law firms, should they elect to adopt them, and the call for diversity and other cultural improvements within firms and the legal industry more broadly is on the rise.

Those players in the legal industry who are able to recognize prevailing industry trends now will be in the best position to act on them.

 

An inserted graphic from DSC:

 

The Future Ready Lawyer — from Wolters Kluwer

Excerpts:

Leveraging technology as a strategic advantage is characteristics of high-performing businesses and professionals around the world. The same is true for the legal sector. Technology is a differentiator, and will become even more important as legal professionals recognize and leverage the unprecedented insights, capabilities and efficiencies that technology delivers. In addition, the emerging legal ecosystems will demand it, as tech-empowered players outside of the traditional legal profession continue to enter and disrupt the market.

 

Excerpt from the Future Ready Lawyer

 

 

From DSC:
It’s interesting to note how many times the words “technology” (205 times) and/or the word “technologies” (77 times) appear in that report.

 

 

Big money is betting on legal industry transformation — from forbes.com by Mark Cohen

Excerpts:

Law has been big business for decades, but only recently has significant venture capital, private equity, and entrepreneur money been pumped into the legal sector. Last year saw an eye-popping 718% increase in legal industry investment, and this year’s capital infusion through the third-quarter has already surpassed last year’s $1 billion total and could well double it. Capital is turbocharging customer-centric providers that are leveraging technology, process, new skillsets, and data to transform the legal function and the delivery of legal services.


Teaser alert: what’s to prevent Amazon, Google, or some other tech giant from entering the legal space, creating a global platform, injecting billions into infrastructure and talent, creating a global legal services hub that connects consumers with global legal delivery sources as never before imagined? Short answer: the inclination to do so.

 

Legal delivery has morphed into a three-legged stool supported by legal, technological, and business expertise. 

 
© 2024 | Daniel Christian