intelligent systems

The Law Firm Disrupted: Walmart Won’t Pay You to Cut and Paste [Strom]

On 04/13/2018, in Artificial Intelligence / Machine Learning / Deep Learning, business, change, changing business models, cognitive computing, disruption, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, Law Schools, productivity / tips and tricks, tools, workplace, by Daniel Christian

The Law Firm Disrupted: Walmart Won’t Pay You to Cut and Paste — from law.com by Roy Strom
The world’s largest retailer, locked in a battle over the future of its business, has developed a tool to help make its many outside lawyers more efficient.

Excerpt (emphasis DSC):

Earlier this week, Walmart Inc. announced it would be rolling out 500 more giant vending machines in its stores to deliver online orders in seconds. The tool is designed to compete with online delivery services from Amazon.com Inc.

The world’s largest retailer also announced this week a tool that will compete (in some sense) with its outside counsel. Walmart has licensed a product from LegalMation that automatically drafts responses and initial discovery requests for employment and slip-and-fall suits filed in California. By this fall, the product should cover those cases in all 50 states.

LegalMation says it takes under two minutes to drag and drop a PDF of a suit into its product and receive a response to that case, in addition to a set of targeted requests for documents, form interrogatories and special interrogatories. That work has traditionally been handled by junior lawyers at Walmart’s outside firms, and LegalMation claims it can take them up to 10 hours to do. The savings on preparing an answer to these complaints is as much as 80 percent, LegalMation said.

“You’re still reviewing the outcome and reviewing the affirmative defenses,” said LegalMation co-founder Thomas Suh, a longtime legal technology advocate. “You’re eliminating the brainless cutting and pasting.”

About six months after the Harvard program, Lee and Suh had drilled down on where to apply AI, and they teamed up with IBM’s Watson to build their product. They also had to develop their own neural network that they said is the “secret sauce” to LegalMation’s ability to parse legalese. “We would not be able to do this without an AI engine like Watson, and likewise I don’t think a product like this would be doable without our neural network,” Lee said.

Also see:

Automation in the Legal Industry: How Will It Affect Recent Law School Grads? — from nationaljurist.com by Martin Pritikin

Excerpt:

A 2017 study by McKinsey Global Institute found that roughly half of all work activities globally have the potential to be automated by technology. A follow-on study (also from McKinsey in 2017) concluded that up to one-third of work activities could be displaced by 2030. What, if any, impacts do these eye-popping findings have on the future on the legal profession, especially for recent law school graduates embarking on their careers?

Recently, it was announced that ROSS, a legal research artificial intelligence platform powered in part by IBM’s Watson technology, was unveiling a new product, EVA, which will not only find applicable cases, but quality check case citations and history. As usual, this latest development has gotten people worried that human lawyers—and, in particular, recent law grads who have traditionally been tasked with legal research—may be on a path to extinction.

Obviously, no one can predict the future with certainty. But if history is any guide, these new technological developments will shift the type of work new lawyers are expected to do, but won’t necessarily eliminate it.

…

We may not be facing a future without lawyers. But it is going to be a future that requires lawyers to learn how to utilize technology effectively to serve their clients—something we should all welcome, not fear.

College of Law Announces the Launch of the Nation’s First Live Online J.D. Program — from law.syr.edu

Excerpt:

The American Bar Association has granted the Syracuse University College of Law a variance to offer a fully interactive online juris doctor program. The online J.D. program will be the first in the nation to combine real-time and self-paced online classes, on-campus residential classes, and experiential learning opportunities.

…
The online J.D. was subject to intense scrutiny and review by legal education experts before the College was granted the variance. Students in the online program will be taught by College of Law faculty, will be held to the same high admission and academic standards as students in the College’s residential program, and will take all courses required by its residential J.D. program.

Also see:

The first fully interactive online J.D. program
The Syracuse University College of Law
SU Law first in nation to offer live online law program
Bar Association grants SU a variance to offer fully interactive online programs

Per Catie Chase from BestColleges.com:

As you know, online education is rapidly expanding. At BestColleges.com we believe it’s important to evaluate the latest trends in distance education and measure the impact to both students and academic institutions. This is an industry that evolves quickly and these results offer relevant, current insights we are excited to learn from and share with the online learning community.

To keep up with these trends, we surveyed 1,800 online students and university administrators and published two reports based on our findings:

2018 Online Education Trends Report – Synthesizing all of the data we gathered in our study, this academic report provides a holistic look at the current state of online education and offers predictions for where it’s headed.
The Student’s Guide to Online Education – Most students we spoke with wished they’d known more about online education and how to choose a quality online program prior to enrolling. We built this guide as a launching point for prospective students to gain that knowledge and make informed decisions on their education.

In an effort to develop a broader understanding of how common perceptions of online education are changing, we added several questions for both students and school administrators to the study this year. A majority of students (79%) felt that online learning is either “better than” or “equal to” on-campus learning. They felt their employers (61%), future employers (61%), and the general public (58%) also had a similarly positive perception of online learning.

From DSC:
It is highly likely that in the very near future, the question won’t even be asked anymore what employers think of online-based learning and whether they will hire someone that’s taken a significant portion of their coursework online. They won’t have a choice. This is especially true if and when more advanced technologies and capabilities get further baked into online-based learning — i.e., truly personalized/customized learning (which most faculty members — including myself — and teachers can’t deliver), virtual reality, artificial intelligence, chatbots, personal digital assistants, Natural Language Processing (NLP), and more.

The better question could become:

To what extent will campus-based learning be impacted when truly personalized/customized learning is offered via online-based means?

My guess? There will continue to be a significant amount of people who want to learn in a physical campus-based setting — and that’s great! But the growth of online learning will grow even more (a lot more) if truly personalized learning occurs via online-based means.

99% of administrators found that demand for online education has increased or stayed the same over the past few years. Almost 40% of respondents plan to increase their online program budgets in the next year.

This year, 34% of schools reported that their online students are younger than in previous years, falling into the “traditional” college age range of 18-25, and even younger as high school students take college courses before graduating. Several schools noted that recent high school graduates are entering the workforce while also pursuing a college education.

2 items re: the use of voice as it pertains to using virtual assistants: 1 involving healthcare, the other involving education (Canvas)

On 04/10/2018, in algorithms, Amazon, Artificial Intelligence / Machine Learning / Deep Learning, bots, Canvas, cloud-based computing / apps / other cloud-related, cognitive computing, communications, computer science, Daniel S. Christian, digital audio, education technology, emerging technologies, health, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, K-12 related, learning, learning ecosystem, learning from the living [class] room, multimedia, Natural Language Processing (NLP), voice recognition / voice enabled interfaces, Walmart of Education --> New Amazon.com of Higher Education, by Daniel Christian

From DSC:
Check out the 2 items below regarding the use of voice as it pertains to using virtual assistants: 1 involves healthcare and the other involves education (Canvas).

1) Using Alexa to go get information from Canvas:

“Alexa Ask Canvas…”

Example questions as a student:

What grades am I getting in my courses?
What am I missing?

Example question as a teacher:

How many submissions do I need to grade?

See the section on asking Alexa questions…roughly between http://www.youtube.com/watch?v=e-30ixK63zE &t=38m18s through http://www.youtube.com/watch?v=e-30ixK63zE &t=46m42s

2) Why voice assistants are gaining traction in healthcare — from samsungnext.com by Pragati Verma

Excerpt (emphasis DSC):

The majority of intelligent voice assistant platforms today are built around smart speakers, such as the Amazon Echo and Google Home. But that might change soon, as several specialized devices focused on the health market are slated to be released this year.

One example is ElliQ, an elder care assistant robot from Samsung NEXT portfolio company Intuition Robotics. Powered by AI cognitive technology, it encourages an active and engaged lifestyle. Aimed at older adults aging in place, it can recognizing their activity level and suggest activities, while also making it easier to connect with loved ones.

Pillo is an example of another such device. It is a robot that combines machine learning, facial recognition, video conferencing, and automation to work as a personal health assistant. It can dispense vitamins and medication, answer health and wellness questions in a conversational manner, securely sync with a smartphone and wearables, and allow users to video conference with health care professionals.

“It is much more than a smart speaker. It is HIPAA compliant and it recognizes the user; acknowledges them and delivers care plans,” said Rogers, whose company created the voice interface for the platform.

Orbita is now working with toSense’s remote monitoring necklace to track vitals and cardiac fluids as a way to help physicians monitor patients remotely. Many more seem to be on their way.

“Be prepared for several more devices like these to hit the market soon,” Rogers predicted.

From DSC:

I see the piece about Canvas and Alexa as a great example of where a piece of our future learning ecosystems are heading towards — in fact, it’s been a piece of my Learning from the Living [Class] Room vision for a while now. The use of voice recognition/NLP is only picking up steam; look for more of this kind of functionality in the future.

AWS unveils ‘Transcribe’ and ‘Translate’ machine learning services — from business-standard.com

Excerpts:

Amazon “Transcribe” provides grammatically correct transcriptions of audio files to allow audio data to be analyzed, indexed and searched.
Amazon “Translate” provides natural sounding language translation in both real-time and batch scenarios.

Google’s ‘secret’ smart city on Toronto’s waterfront sparks row — from bbc.com by Robin Levinson-King BBC News, Toronto

Excerpt:

The project was commissioned by the publically funded organisation Waterfront Toronto, who put out calls last spring for proposals to revitalise the 12-acre industrial neighbourhood of Quayside along Toronto’s waterfront.

Prime Minister Justin Trudeau flew down to announce the agreement with Sidewalk Labs, which is owned by Google’s parent company Alphabet, last October, and the project has received international attention for being one of the first smart-cities designed from the ground up.

But five months later, few people have actually seen the full agreement between Sidewalk and Waterfront Toronto.

As council’s representative on Waterfront Toronto’s board, Mr Minnan-Wong is the only elected official to actually see the legal agreement in full. Not even the mayor knows what the city has signed on for.

“We got very little notice. We were essentially told ‘here’s the agreement, the prime minister’s coming to make the announcement,'” he said.

“Very little time to read, very little time to absorb.”

Now, his hands are tied – he is legally not allowed to comment on the contents of the sealed deal, but he has been vocal about his belief it should be made public.

“Do I have concerns about the content of that agreement? Yes,” he said.

“What is it that is being hidden, why does it have to be secret?”

From DSC:
Google needs to be very careful here. Increasingly so these days, our trust in them (and other large tech companies) is at stake.

Addendum on 4/16/18 with thanks to Uros Kovacevic for this resource:
Human lives saved by robotic replacements — from injuryclaimcoach.com

Excerpt:

For academics and average workers alike, the prospect of automation provokes concern and controversy. As the American workplace continues to mechanize, some experts see harsh implications for employment, including the loss of 73 million jobs by 2030. Others maintain more optimism about the fate of the global economy, contending technological advances could grow worldwide GDP by more than $1.1 trillion in the next 10 to 15 years. Whatever we make of these predictions, there’s no question automation will shape the economic future of the nation – and the world.

But while these fiscal considerations are important, automation may positively affect an even more essential concern: human life. Every day, thousands of Americans risk injury or death simply by going to work in dangerous conditions. If robots replaced them, could hundreds of lives be saved in the years to come?

In this project, we studied how many fatal injuries could be averted if dangerous occupations were automated. To do so, we analyzed which fields are most deadly and the likelihood of their automation according to expert predictions. To see how automation could save Americans’ lives, keep reading.

Also related to this item is :
How AI is improving the landscape of work — from forbes.com by Laurence Bradford

Excerpts:

There have been a lot of sci-fi stories written about artificial intelligence. But now that it’s actually becoming a reality, how is it really affecting the world? Let’s take a look at the current state of AI and some of the things it’s doing for modern society.

Creating New Technology Jobs
Using Machine Learning To Eliminate Busywork
Preventing Workplace Injuries With Automation
Reducing Human Error With Smart Algorithms

From DSC:
This is clearly a pro-AI piece. Not all uses of AI are beneficial, but this article mentions several use cases where AI can make positive contributions to society.

It’s About Augmented Intelligence, not Artificial Intelligence — from informationweek.com
The adoption of AI applications isn’t about replacing workers but helping workers do their jobs better.

From DSC:
This article is also a pro-AI piece. But again, not all uses of AI are beneficial. We need to be aware of — and involved in — what is happening with AI.

Investing in an Automated Future — from clomedia.com by Mariel Tishma
Employers recognize that technological advances like AI and automation will require employees with new skills. Why are so few investing in the necessary learning?

“AI Helps Figure Out Where Students Go Wrong on Math Problems” [Bolkan]

On 04/03/2018, in Artificial Intelligence / Machine Learning / Deep Learning, intelligent systems, intelligent tutoring, K-12 related, Learning Agents, learning ecosystem, learning from the living [class] room, mathematics, productivity / tips and tricks, student-related, teachers, by Daniel Christian

AI Helps Figure Out Where Students Go Wrong on Math Problems — from steamuniverse.com by Joshua Bolkan

Excerpt:

Researchers at Cornell University are working on software that will help math teachers understand what their students were thinking that led them to finding incorrect answers.

Erik Andersen, assistant professor of computer science at Cornell, said that teachers spend a lot of time grading math homework because grading is more complicated than just marking an answer as right or wrong.

“What the teachers are spending a lot of time doing is assigning partial credit and working individually to figure out what students are doing wrong,” Andersen said in a prepared statement. “We envision a future in which educators spend less time trying to reconstruct what their students are thinking and more time working directly with their students.”

Also see:

Automatic Diagnosis of Students’ Misconceptions in K-8 Mathematics — by Molly Q Feldman, Ji Yong Cho, Monica Ong, Sumit Gulwani, Zoran Popovi?, & Erik Andersen

How Emerging Technologies Are Impacting Industries [Bird]

On 03/31/2018, in 21st century, A/V -- audio/visual, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, Blockchain, bots, business, career development, change, cognitive computing, corporate / business world, credentialing, digital learning, education technology, emerging technologies, engineering, experimentation, game-changing environment, health, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, internet, K-12 related, Law Schools, learning ecosystem, Lifelong learning, machine-to-machine communications, pace of change, platforms, society, staying relevant, student-related, surviving, technology (general), tools, trends, virtual reality / worlds / learning, vision, by Daniel Christian

How Emerging Technologies Are Impacting Industries — from medium.com by Dylan Bird
An analysis on leading strategies leveraging technology

235 emerging technology trends that will influence business, government, education, media & society in the coming year. [Future Today Institute]

On 03/20/2018, in algorithms, Artificial Intelligence / Machine Learning / Deep Learning, augmented reality, Blockchain, bots, business, career development, change, Christian education, cloud-based computing / apps / other cloud-related, cognitive computing, colleges, community colleges, corporate / business world, corporate universities / corporate training, digital audio, digital learning, digital video, disruption, economics, education, education technology, emerging technologies, engineering, experimentation, future, game-changing environment, global / globalization, health, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, internet, leadership, legislatures / government / legal, Media/film, Mixed reality, Mobile technologies, multimedia, Natural Language Processing (NLP), organizational change, pace of change, platforms, political science, programming, reinvent, robotics, society, staying relevant, strategy, surviving, technology (general), tools, training / L&D, trends, universities, virtual reality / worlds / learning, vision, voice recognition / voice enabled interfaces, wearables, workplace, XR - extended reality, by Daniel Christian

2018 TECH TRENDS REPORT — from the Future Today Institute
Emerging technology trends that will influence business, government, education, media and society in the coming year.

Description:

The Future Today Institute’s 11th annual Tech Trends Report identifies 235 tantalizing advancements in emerging technologies—artificial intelligence, biotech, autonomous robots, green energy and space travel—that will begin to enter the mainstream and fundamentally disrupt business, geopolitics and everyday life around the world. Our annual report has garnered more than six million cumulative views, and this edition is our largest to date.

Helping organizations see change early and calculate the impact of new trends is why we publish our annual Emerging Tech Trends Report, which focuses on mid- to late-stage emerging technologies that are on a growth trajectory.

In this edition of the FTI Tech Trends Report, we’ve included several new features and sections:

a list and map of the world’s smartest cities
a calendar of events that will shape technology this year
detailed near-future scenarios for several of the technologies
a new framework to help organizations decide when to take action on trends
an interactive table of contents, which will allow you to more easily navigate the report from the bookmarks bar in your PDF reader

01 How does this trend impact our industry and all of its parts?
02 How might global events — politics, climate change, economic shifts – impact this trend, and as a result, our organization?
03 What are the second, third, fourth, and fifth-order implications of this trend as it evolves, both in our organization and our industry?
04 What are the consequences if our organization fails to take action on this trend?
05 Does this trend signal emerging disruption to our traditional business practices and cherished beliefs?
06 Does this trend indicate a future disruption to the established roles and responsibilities within our organization? If so, how do we reverse-engineer that disruption and deal with it in the present day?
07 How are the organizations in adjacent spaces addressing this trend? What can we learn from their failures and best practices?
08 How will the wants, needs and expectations of our consumers/ constituents change as a result of this trend?
09 Where does this trend create potential new partners or collaborators for us?
10 How does this trend inspire us to think about the future of our organization?

Is this the kind of world we want? “China’s New Frontiers in Dystopian Tech” [Chun]

On 03/19/2018, in 24x7x365 access, A/V -- audio/visual, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, Asia, Christian education, emerging technologies, ethics, ideas, intelligent systems, photography, platforms, society, the downsides of technology, tools, trends, by Daniel Christian

China’s New Frontiers in Dystopian Tech — from theatlantic.com by Rene Chun
Facial-recognition technologies are proliferating, from airports to bathrooms.

Excerpt:

China is rife with face-scanning technology worthy of Black Mirror. Don’t even think about jaywalking in Jinan, the capital of Shandong province. Last year, traffic-management authorities there started using facial recognition to crack down. When a camera mounted above one of 50 of the city’s busiest intersections detects a jaywalker, it snaps several photos and records a video of the violation. The photos appear on an overhead screen so the offender can see that he or she has been busted, then are cross-checked with the images in a regional police database. Within 20 minutes, snippets of the perp’s ID number and home address are displayed on the crosswalk screen. The offender can choose among three options: a 20-yuan fine (about $3), a half-hour course in traffic rules, or 20 minutes spent assisting police in controlling traffic. Police have also been known to post names and photos of jaywalkers on social media.

…

The technology’s veneer of convenience conceals a dark truth: Quietly and very rapidly, facial recognition has enabled China to become the world’s most advanced surveillance state. A hugely ambitious new government program called the “social credit system” aims to compile unprecedented data sets, including everything from bank-account numbers to court records to internet-search histories, for all Chinese citizens. Based on this information, each person could be assigned a numerical score, to which points might be added for good behavior like winning a community award, and deducted for bad actions like failure to pay a traffic fine. The goal of the program, as stated in government documents, is to “allow the trustworthy to roam everywhere under heaven while making it hard for the discredited to take a single step.”

DC: Might Alexa be a tool to periodically schedule & provide practice tests & distributed practice on content?

On 03/03/2018, in A/V -- audio/visual, adult learning, algorithms, Amazon, Artificial Intelligence / Machine Learning / Deep Learning, assessment, assistive technologies, bots, cloud-based computing / apps / other cloud-related, cognitive computing, colleges, community colleges, computer science, content development, curriculum, Daniel S. Christian, digital audio, digital learning, education technology, elearning, emerging technologies, experimentation, formal learning, higher education, human-computer interaction (HCI), ideas, informal learning, innovation, intelligent systems, intelligent tutoring, interaction design, interactivity, internet, K-12 related, learner profiles, learning, Learning Agents, learning ecosystem, learning from the living [class] room, learning preferences, learning theories, liberal arts, Lifelong learning, Microlearning, Natural Language Processing (NLP), online learning, online media, online tutoring, personalized/customized learning, platforms, practice, productivity / tips and tricks, professional development, student-related, teaching & learning, Technologies for your home, tools, training / L&D, universities, usability, user experience (UX), vendors, vision, voice recognition / voice enabled interfaces, by Daniel Christian

From DSC:
After seeing the article entitled, “Scientists Are Turning Alexa into an Automated Lab Helper,” I began to wonder…might Alexa be a tool to periodically schedule & provide practice tests & distributed practice on content? In the future, will there be “learning bots” that a learner can employ to do such self-testing and/or distributed practice?

From page 45 of the PDF available here:

Scientists Are Turning Alexa into an Automated Lab Helper — from technologyreview.com by Jamie Condliffe
Amazon’s voice-activated assistant follows a rich tradition of researchers using consumer tech in unintended ways to further their work.

Excerpt:

Alexa, what’s the next step in my titration?

Probably not the first question you ask your smart assistant in the morning, but potentially the kind of query that scientists may soon be leveling at Amazon’s AI helper. Chemical & Engineering News reports that software developer James Rhodes—whose wife, DeLacy Rhodes, is a microbiologist—has created a skill for Alexa called Helix that lends a helping hand around the laboratory.

It makes sense. While most people might ask Alexa to check the news headlines, play music, or set a timer because our hands are a mess from cooking, scientists could look up melting points, pose simple calculations, or ask for an experimental procedure to be read aloud while their hands are gloved and in use.

…

For now, Helix is still a proof-of-concept. But you can sign up to try an early working version, and Rhodes has plans to extend its abilities…

Also see:

Learning Ecosystems

The Law Firm Disrupted: Walmart Won’t Pay You to Cut and Paste [Strom]

“AWS unveils ‘Transcribe’ and ‘Translate’ machine learning services” + 4 other items re: AI, NLP, & more

235 emerging technology trends that will influence business, government, education, media & society in the coming year. [Future Today Institute]

Is this the kind of world we want? “China’s New Frontiers in Dystopian Tech” [Chun]

Scientists Are Turning Alexa into an Automated Lab Helper [Condliffe]

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