Artificial Intelligence/Agents/LLMs/and Related

Coming down the pike: A next generation, global learning platform [Christian]

On 12/19/2019, in 21st century, 24x7x365 access, A/V -- audio/visual, active learning, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, assessment, attention, blended learning, Bring your own device (BYOD), business side of he, career development, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communities of practice, community colleges, competency-based learning/education, consortiums, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, cost of getting a degree, Cost of legal services - including access, credentialing, dangers of the status quo, Daniel S. Christian, data related items, digital audio, digital learning, digital storytelling, disruption, distance education, e-publishing related items (EPUB and more), education, education reform, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, entrepreneurship, formal learning, future, future of higher education, game-changing environment, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, informal learning, innovation, intelligent systems, intelligent tutoring, internet, languages and translation, law schools, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, library / librarians, lifelong learning, media/film, microlearning, mobile technologies, MOOCs -- Massive Open Online Courses, more voice more choice more control, multimedia, Natural Language Processing (NLP), New "Amazon.com" of Higher Education, new business models, online learning, online media, online tutoring, pace of change, participation, passions, personalized/customized learning, platforms, professional development, reinvent, second screen apps, simulations, smart/connected TV, social learning / networks, society, staying relevant, streams of content, student-related, surviving, teaching & learning, technologies for your home, telecommunications, telepresence, television, tools, training / L&D, universities, user experience (UX), using teams, videoconferencing, vision/possibilities, web-based collaboration, webinars, workplace, by Daniel Christian

From DSC:
Though we aren’t quite there yet, the pieces continue to come together to build a next generation learning platform that will help people reinvent themselves quickly, efficiently, constantly, and cost-effectively.

The 10 vital skills you will need for the future of work [Marr]

On 12/17/2019, in 21st century, active learning, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, career development, change, cloud-based computing / apps / other cloud-related, colleges, communications, communities of practice, community colleges, competency-based learning/education, corporate / business world, corporate universities / corporate training, creativity, curriculum, emerging technologies, engineering, future, future of higher education, game-changing environment, heutagogy, higher education, ideas, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, lifelong learning, organizational change, pace of change, reinvent, society, staying relevant, student-related, surviving, trends, universities, vision/possibilities, youth, by Daniel Christian

The 10 vital skills you will need for the future of work — from Bernard Marr

Excerpt:

Active learning with a growth mindset
Anyone in the future of work needs to actively learn and grow. A person with a growth mindset understands that their abilities and intelligence can be developed and they know their effort to build skills will result in higher achievement. They will, therefore, take on challenges, learn from mistakes and actively seek new knowledge.

Start by adopting a commitment to lifelong learning so you can acquire the skills you will need to succeed in the future workplace.

120 AI predictions for 2020 — from forbes.com by Gil Press

Excerpt:

As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools. And there will be even more 2020 AI predictions, in a second installment to be posted here later this month.

2019 AI report tracks profound growth [Klein]

On 12/16/2019, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, bots, Canada, career development, colleges, community colleges, computer science, ethics, Europe, faculty, higher education, India, morals/values, platforms, society, student-related, the downsides of how people use tech, United States, by Daniel Christian

2019 AI report tracks profound growth — from ide.mit.edu by Paula Klein

Excerpt:

Until now “we’ve been sorely lacking good data about basic questions like ‘How is the technology advancing’ and ‘What is the economic impact of AI?’ ” Brynjolfsson said. The new index, which tracks three times as many data sets as last year’s report, goes a long way toward providing answers.

…

Education

At the graduate level, AI has rapidly become the most popular specialization among computer science PhD students in North America. In 2018, over 21% of graduating Computer Science PhDs specialize in Artificial Intelligence/Machine Learning.
Industry is the largest consumer of AI talent. In 2018, over 60% of AI PhD graduates went to industry, up from 20% in 2004.
In the U.S., AI faculty leaving academia for industry continues to accelerate, with over 40 departures in 2018, up from 15 in 2012 and none in 2004.

In the U.S., #AI faculty leaving #academia for industry continues to accelerate, with over 40 departures in 2018, up from 15 in 2012 and none in 2004.

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…

Also see these reports:

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/Agents/LLMs/and Related, 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 voice 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/Agents/LLMs/and Related, 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/Agents/LLMs/and Related, 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.

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/Agents/LLMs/and Related, 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.

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/Agents/LLMs/and Related, 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/Agents/LLMs/and Related, blogs / blogging / vlogging, change, emerging technologies, Facebook / Meta Platforms, 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

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