Artificial Intelligence / Machine Learning / Deep Learning

The Jobs of Tomorrow: LinkedIn’s 2020 Emerging Jobs Report — from blog.linkedin.com by Guy Berger

Excerpt:

Here’s what you should know about this year’s emerging jobs.

Artificial intelligence (AI) continues to make a strong showing on our Emerging Jobs lists, which is no surprise.
Professionals are on the move, likely a result of factors like housing costs, political and regulatory change, or more flexibility with remote work opportunities.
Demand for soft skills is likely to increase as automation becomes more widespread. Skills like communication, creativity, and collaboration are all virtually impossible to automate…

Online learning is here to stay.
The multibillion-dollar e-learning industry is taking off, and it’s staffing up to prepare. LinkedIn data shows the industry is snapping up both sales and tech talent, indicating continued customer demand for these types of solutions.

AI and smart campuses are among higher ed tech to watch in 2020 — from edtechmagazine.com by Adam Stone
Early adopters tap emerging tools to achieve cost savings and improve learning outcomes.

Excerpt:

In parallel with the rise of municipal smart cities, higher education continues to push toward the smart campus, a vision of a digitally interconnected learning space in which data and devices combine to enhance the student experience. Colleges need to get smart to stay competitive.

Below is an excerpt from Deloitte’s report — Smart campus: The next-generation connected campus — which the above article links to.

Innovations used in smart banking, smart retail, smart digital workplaces, and smart venues like hospitals and stadiums could be extended to higher education campuses. These smart environments are enabling an easy and seamless experience by leveraging the most advanced and next-generation technologies available to them. And more importantly, they continually
modernize and adjust their practices to meet the needs of their constituents. To stay sustainable and relevant, institutions should employ technology and analytics-based insights to enhance the well-being of the communities in which they are rooted.

How much longer before this type of service hits the mainstream? [Christian]

On 12/10/2019, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence / Machine Learning / Deep Learning, assistive technologies, bots, Cost of legal services - including access, Daniel S. Christian, entrepreneurship, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, internet, Law Schools, legal technologies, legislatures / government / legal, more choice more control, new business models, online media, platforms, Smart/Connected TV, society, strategy, Technologies for your home, telepresence, television, tools, United States, videoconferencing, web-based collaboration, by Daniel Christian

Virtual access to legal assistance becoming mainstream is hopefully not far off!

From DSC:
Along these lines, we’ll likely see more bots and virtual legal assistants that we will be able to ask questions of.

#A2J #AccessToJustice #legal #lawyers #society #legaltech #bots #videoconferencing #AI #bots #VirtualAssistants

Along these lines, also see:

Innovative and inspired: How this US law school is improving access to justice — from studyinternational.com

Excerpt:

Though court and other government websites in the US provide legal information, knowing what to search for and understanding legal jargon can be difficult for lay people.

Spot, software that is being developed at the LIT Lab, aims to fix this.

“You know you have a housing problem. But very few people think about their housing problems in terms of something like constructive eviction,” explains David Colarusso, who heads the LIT Lab. “The idea is to have the tool be able to spot those issues based upon people’s own language.”

Developed by Colarusso and students, Spot uses a machine-based algorithm to understand legal queries posed by lay persons. With Spot, entering a question in plain English like “My apartment is so moldy I can’t stay there anymore. Is there anything I can do?” brings up search results that would direct users to the right legal issue. In this case, the query is highly likely to be related to a housing issue or, more specifically, to the legal term “constructive eviction.”

Lastly, here’s an excerpt from INSIGHT: What’s ‘Innovative’ in BigLaw? It’s More Than the Latest Tech Tools — from news.bloomberglaw.com by Ryan Steadman and Mark Brennan

Top Innovation Factors for Success

The first step is always to observe and listen.
True innovation is about rigorously defining a client problem and then addressing it through a combination of workflow process, technology, and people.
Leave aside the goal of wholesale transformation and focus instead on specific client use cases.

Before revving the engines in the innovation process, the safety check comes first. Successful innovation requires a deliberate, holistic approach that takes into consideration people, process, and technology. Firms and vendors that listen and learn before implementing significant change will stand apart from competitors—and help ensure long-term success.

Delta Model Lawyer: Lawyer Competencies for the Computational Age [Moon]

On 12/09/2019, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning, career development, change, emerging technologies, Law Schools, legal technologies, legislatures / government / legal, professional development, society, Using teams, by Daniel Christian

Delta Model Lawyer: Lawyer Competencies for the Computational Age — from law.mit.edu by Caitlin “Cat” Moon
Technology changes the ways that people interact with one another. As a result, the roles and competencies required for many professions are evolving. Law is no exception. Cat Moon offers the Delta Model as a tool for legal professionals to understand how adapt to these changes.

Excerpt:

The [law] schools must begin training the profession to cope with and understand computers. […] Minimizing the pain and problems which may be caused by computer-created unknowns is a responsibility of the profession.

Artificial Intelligence has a gender problem — why it matters for everyone [Bondy]

On 12/09/2019, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning, career development, computer science, corporate / business world, morals/values, participation, programming, society, workplace, by Daniel Christian

Artificial Intelligence has a gender problem — why it matters for everyone — from nbcnews.com by Halley Bondy
To fight the rise of bias in AI, more representation is critical in the computing workforce, where only 26 percent of workers are women, 3 percent are African-American women, and 2 percent are Latinx.

Excerpt:

More women and minorities must work in tech, or else they risk being left behind in every industry.

This grim future was painted by Artificial Intelligence (AI) equality experts who spoke at a conference Thursday hosted by LivePerson, an AI company that connects brands and consumers.

In that future, if AI goes unchecked, workplaces will be completely homogenous, hiring only white, nondisabled men.

Guest speaker Cathy O’Neil, who authored “Weapons of Math Destruction,” explained how hiring bias works with AI: company algorithms are created by (mostly white male) data scientists, and they are based on the company’s historic wins. If a CEO is specifically looking for hirees who won’t leave the company after a year, for example, he might turn to AI to look for candidates based on his company’s retention rates. Chances are, most of his company’s historic wins only include white men, said O’Neil.

This A.I. pocket device translates languages in real-time [bigthink.com]

On 12/08/2019, in Artificial Intelligence / Machine Learning / Deep Learning, digital audio, global / globalization, Languages and translation, tools, by Daniel Christian

This A.I. pocket device translates languages in real-time — from bigthink.com
The ONE Mini is a Swiss Army knife of translation tech, interpreting 12 different foreign languages with a host of features.

The future of law and computational technologies: Two sides of the same coin — from law.mit.edu by Daniel Linna
Law and computation are often thought of as being two distinct fields. Increasingly, that is not the case. Dan Linna explores the ways a computational approach could help address some of the biggest challenges facing the legal industry.

Excerpt:

The rapid advancement of artificial intelligence (“AI”) introduces opportunities to improve legal processes and facilitate social progress. At the same time, AI presents an original set of inherent risks and potential harms. From a Law and Computational Technologies perspective, these circumstances can be broadly separated into two categories. First, we can consider the ethics, regulations, and laws that apply to technology. Second, we can consider the use of technology to improve the delivery of legal services, justice systems, and the law itself. Each category presents an unprecedented opportunity to use significant technological advancements to preserve and expand the rule of law.

For basic legal needs, access to legal services might come in the form of smartphones or other devices that are capable of providing users with an inventory of their legal rights and obligations, as well as providing insights and solutions to common legal problems. Better yet, AI and pattern matching technologies can help catalyze the development of proactive approaches to identify potential legal problems and prevent them from arising, or at least mitigate their risk.
…

We risk squandering abundant opportunities to improve society with computational technologies if we fail to proactively create frameworks to embed ethics, regulation, and law into our processes by design and default.
…

To move forward, technologists and lawyers must radically expand current notions of interdisciplinary collaboration. Lawyers must learn about technology, and technologists must learn about the law.

Considering AI in hiring? As its use grows, so do the legal implications for employers. [Martinez]

On 12/06/2019, in Artificial Intelligence / Machine Learning / Deep Learning, business, corporate / business world, emerging technologies, ethics, Law Schools, leadership, legislatures / government / legal, morals/values, platforms, workplace, by Daniel Christian

Considering AI in hiring? As its use grows, so do the legal implications for employers. — from forbes.com by Alonzo Martinez; with thanks to Paul Czarapata for his posting on Twitter on this

Excerpt:

As employers grapple with a widespread labor shortage, more are turning to artificial intelligence tools in their search for qualified candidates.

Hiring managers are using increasingly sophisticated AI solutions to streamline large parts of the hiring process. The tools scrape online job boards and evaluate applications to identify the best fits. They can even stage entire online interviews and scan everything from word choice to facial expressions before recommending the most qualified prospects.

But as the use of AI in hiring grows, so do the legal issues surrounding it. Critics are raising alarms that these platforms could lead to discriminatory hiring practices. State and federal lawmakers are passing or debating new laws to regulate them. And that means organizations that implement these AI solutions must not only stay abreast of new laws, but also look at their hiring practices to ensure they don’t run into legal trouble when they deploy them.

This type of feature will likely be a part of our future learning ecosystems as well as helping us stay marketable [Christian]

On 12/06/2019, in Artificial Intelligence / Machine Learning / Deep Learning, career development, CMS/LMS, corporate / business world, corporate universities / corporate training, Daniel S. Christian, education, education technology, emerging technologies, freelancing, future, future of higher education, game-changing environment, higher education, learner profiles, learning, Learning Agents, learning ecosystem, learning preferences, Lifelong learning, Microlearning, online learning, platforms, social learning / networks, social media, Walmart of Education --> New Amazon.com of Higher Education, by Daniel Christian

Upwork debuts The Upwork 100, ranking the top 100 in-demand skills for independent professionals — from upwork.com

Excerpt:

The Upwork 100 ranks the top 100 skills and sheds light on skills that are both quickly growing and also experiencing a high level of demand, providing an indication of current trends in the independent labor market and tech industry. It also serves as a barometer of the skills businesses are seeking and that independent professionals are providing by balancing real-time insights with consistent patterns based on real work that’s been completed.

DC: This type of feature will likely be a part of our future learning ecosystems; algorithms/spiders/etc searching for top needs &providing a menu of learning selections 2meet those needs (available 24×7). Next Gen Platform #LearningfromtheLivingClassroom https://t.co/yKnbKmyvgT

— Daniel Christian (@dchristian5) December 6, 2019

Top artificial intelligence predictions for 2020 from IDC and Forrester [Press]

On 12/06/2019, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning, career development, emerging technologies, future, game-changing environment, global / globalization, trends, United States, vendors, workplace, by Daniel Christian

Top artificial intelligence predictions for 2020 from IDC and Forrester — from forbes.com by Gil Press

Excerpts:

IDC and Forrester issued recently their predictions for artificial intelligence (AI) in 2020 and beyond. While external “market events” may make companies cautious about AI, says Forrester, “courageous ones” will continue to invest and expand the initial “timid” steps they took in 2019.

According to Forrester’s various surveys,

· 53% of global data and analytics decision makers say they have implemented, are in the process of implementing, or are expanding or upgrading their implementation of some form of artificial intelligence.

· 29% of global developers (manager level or higher) have worked on AI/machine learning (ML) software in the past year.

30 influential AI presentations from 2019 [re-work.co]

On 12/04/2019, in Adobe, Apple, Artificial Intelligence / Machine Learning / Deep Learning, blogs / blogging, change, emerging technologies, Facebook, presentations, universities, vendors, by Daniel Christian

30 influential AI presentations from 2019 — from re-work.co

Excerpt:

It feels as though 2019 has gone by in a flash, that said, it has been a year in which we have seen great advancement in AI application methods and technical discovery, paving the way for future development. We are incredibly grateful to have had the leading minds in AI & Deep Learning present their latest work at our summits in San Francisco, Boston, Montreal and more, so we thought we would share thirty of our highlight videos with you as we think everybody needs to see them!. (Some are hosted on our Videohub and some on our YouTube, but all are free to view!).

Example presenters:

Dawn Song, Professor, UC Berkeley.
Doina Precup, Research Team Lead, DeepMind.
Natalie Jakomis, Group Director of Data, goCompare.
Ian Goodfellow, Director, Apple.
Timnit Gebru, Ethical AI Team, Google.
Cathy Pearl, Head of Conversation Design Outreach, Google.
Zoya Bylinskii, Research Scientist, Adobe Research.
…and many others

The 20 top tech skills that employers want and that can help you find a job, according to recruiting site Indeed — from businessinsider.com by Rosalie Chan and Bani Sapra

Excerpt:

The job search site Indeed released a report this month about the top tech skills of 2019 based on job descriptions that are being posted.

Andrew Flowers, an economist at Indeed, says that in today’s job market, there are two major trends that drive the top skills in tech. The first is the rise of data science, machine learning, and artificial intelligence. The second is the rise of cloud computing.

“Python has had explosive growth,” Flowers told Business Insider. “If I’m around the dinner table and a nephew asks what should I learn? Having done this report, I would say, learn Python.”

Amazon’s Ring planned neighborhood “watch lists” built on facial recognition — from theintercept.com by Sam Biddle

Excerpts (emphasis DSC):

Ring, Amazon’s crime-fighting surveillance camera division, has crafted plans to use facial recognition software and its ever-expanding network of home security cameras to create AI-enabled neighborhood “watch lists,” according to internal documents reviewed by The Intercept.
…

Previous reporting by The Intercept and The Information revealed that Ring has at times struggled to make facial recognition work, instead relying on remote workers from Ring’s Ukraine office to manually “tag” people and objects found in customer video feeds.
…
Legal scholars have long criticized the use of governmental watch lists in the United States for their potential to ensnare innocent people without due process. “When corporations create them,” said Tajsar, “the dangers are even more stark.” As difficult as it can be to obtain answers on the how and why behind a federal blacklist, American tech firms can work with even greater opacity: “Corporations often operate in an environment free from even the most basic regulation, without any transparency, with little oversight into how their products are built and used, and with no regulated mechanism to correct errors,” Tajsar said.

From DSC:
Those working or teaching within the legal realm — this one’s for you. But it’s also for the leadership of the C-Suites in our corporate world — as well as for all of those programmers, freelancers, engineers, and/or other employees working on AI within the corporate world.

By the way, and not to get all political here…but who’s to say what happens with our data when it’s being reviewed in Ukraine…?

Also see:

Opinion: AI for good is often bad — from wired.com by Mark Latonero
Trying to solve poverty, crime, and disease with (often biased) technology doesn’t address their root causes.

AI innovators should be listening to kids — from wired.com by Urs Gasser, executive director of the Berkman Klein Center for Internet & Society at Harvard University, the principal investigator of the Center’s Youth and Media project, and a professor at Harvard Law School.
Input from the next generation is crucial when it comes to navigating the challenges of new technologies.

Excerpts:

With another monumental societal transformation on the horizon—the rise of artificial intelligence—we have an opportunity to engage the power and imagination of youth to shape the world they will inherit. Many of us were caught off guard by the unintended consequences of the first wave of digital technologies, from mass surveillance to election hacking. But the disruptive power of the internet to date only sets the stage for the even more radical changes AI will produce in the coming decades.

Instead of waiting for the youth to respond to the next crisis, we should proactively engage them as partners in shaping our AI-entangled future.

Young people have a right to participate as we make critical choices that will determine what kind of technological world we leave for them and future generations. They also have unique perspectives to contribute as the first generation to grow up surrounded by AI shaping their education, health, social lives, leisure, and career prospects.

Youth have the most at stake, and they also have valuable perspectives and experiences to contribute. If we want to take control of our digital future and respond effectively to the disruptions new technology inevitably brings, we must listen to their voices.

Why AI is a threat to democracy – and what we can do to stop it — from asumetech.com by Lawrence Cole

Excerpts:

In the US, however, we also have a tragic lack of foresight. Instead of creating a grand strategy for AI or for our long-term futures, the federal government has removed the financing of scientific and technical research. The money must therefore come from the private sector. But investors also expect a certain return. That is a problem. You cannot plan your R&D breakthroughs when working on fundamental technology and research. It would be great if the big tech companies had the luxury of working very hard without having to organize an annual conference to show off their newest and best whiz bang thing. Instead, we now have countless examples of bad decisions made by someone in the G-MAFIA, probably because they worked quickly. We begin to see the negative effects of the tension between doing research that is in the interest of humanity and making investors happy.
…
The problem is that our technology has become increasingly sophisticated, but our thinking about what free speech is and what a free market economy looks like has not become that advanced. We tend to resort to very basic interpretations: free speech means that all speech is free, unless it conflicts with defamation laws, and that’s the end of the story. That is not the end of the story. We need to start a more sophisticated and intelligent conversation about our current laws, our emerging technology, and how we can make the two meet halfway.

So I absolutely believe that there is a way forward. But we have to come together and bridge the gap between Silicon Valley and DC, so that we can all steer the boat in the same direction.

— Amy Webb, futurist, NYU professor, founder of the Future Today Institute

Also see:

“FRONTLINE investigates the promise and perils of artificial intelligence, from fears about work and privacy to rivalry between the U.S. and China. The documentary traces a new industrial revolution that will reshape and disrupt our lives, our jobs and our world, and allow the emergence of the surveillance society.”

The film has five distinct messages about:

1. China’s AI Plan
2. The Promise of AI
3. The Future of Work
4. Surveillance Capitalism
5. The Surveillance State

Learning Ecosystems

The Jobs of Tomorrow: LinkedIn’s 2020 Emerging Jobs Report [Berger]

AI and smart campuses are among higher ed tech to watch in 2020 [Stone]

How much longer before this type of service hits the mainstream? [Christian]

Delta Model Lawyer: Lawyer Competencies for the Computational Age [Moon]

Artificial Intelligence has a gender problem — why it matters for everyone [Bondy]

This A.I. pocket device translates languages in real-time [bigthink.com]

“Lawyers & technologists must work together to create a better future for everyone.” [Linna]

Considering AI in hiring? As its use grows, so do the legal implications for employers. [Martinez]

Top artificial intelligence predictions for 2020 from IDC and Forrester [Press]

30 influential AI presentations from 2019 [re-work.co]

The 20 top tech skills that employers want & that can help you find a job [Chan & Sapra]

Amazon’s Ring planned neighborhood “watch lists” built on facial recognition [Biddle]

“In the Age of AI” [PBS] + “Why AI is a threat to democracy – & what we can do to stop it” [Cole]

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