human-computer interaction (HCI)

Top six AI and automation trends for 2019 [Newman]

On 01/07/2019, in 21st century, analytics, bots, business, change, changing business models, computer science, corporate / business world, Daniel S. Christian, economics, human-computer interaction (HCI), innovation, intelligent systems, leadership, MBA, robotics, society, strategy, tools, training / L&D, trends, United States, vendors, vision/possibilities, workplace, by Daniel Christian

Top six AI and automation trends for 2019 — from forbes.com by Daniel Newman

Excerpt:

If your company hasn’t yet created a plan for AI and automation throughout your enterprise, you have some work to do. Experts believe AI will add nearly $16 trillion to the global economy by 2030, and 20 % of companies surveyed are already planning to incorporate AI throughout their companies next year. As 2018 winds down, now is the time to take a look at some trends and predictions for AI and automation that I believe will dominate the headlines in 2019—and to think about how you may incorporate them into your own company.

Also see — and an insert here from DSC:

Kai-Fu has a rosier picture than I do in regards to how humanity will be impacted by AI. One simply needs to check out today’s news to see that humans have a very hard time creating unity, thinking about why businesses exist in the first place, and being kind to one another…

Kai-Fu Lee at AI Frontiers: The Era of Artificial Intelligence

How AI can save our humanity

Reflections on “The world is changing. Here’s how companies must adapt.” [Kaeser]

On 01/03/2019, in 21st century, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, bots, business, Canada, career development, change, changing business models, collaboration, colleges, communications, communities of practice, community colleges, computer science, corporate / business world, corporate universities / corporate training, dangers of the status quo, Daniel S. Christian, digital learning, education, education reform, emerging technologies, engineering, entrepreneurship, ethics, Europe, future, game-changing environment, generational differences, global, heutagogy, higher education, human-computer interaction (HCI), ideas, India, innovation, intelligent systems, internet, law schools, learning, learning ecosystem, legislatures / government / legal, lifelong learning, machine-to-machine communications, MBA, new business models, online learning, organizational change, pace of change, platforms, policy, political science, reinvent, society, staying relevant, strategy, student-related, surviving, technologies for your home, technology (general), telecommunications, the downsides of how people use tech, tools, training / L&D, trends, UK, United States, universities, vendors, vision/possibilities, web-based collaboration, workplace, youth, by Daniel Christian

The world is changing. Here’s how companies must adapt. — from weforum.org by Joe Kaeser, President and Chief Executive Officer, Siemens AG

Excerpts (emphasis DSC):

Although we have only seen the beginning, one thing is already clear: the Fourth Industrial Revolution is the greatest transformation human civilization has ever known. As far-reaching as the previous industrial revolutions were, they never set free such enormous transformative power.

The Fourth Industrial Revolution is transforming practically every human activity...its scope, speed and reach are unprecedented.
…
Enormous power (Insert from DSC: What I was trying to get at here) entails enormous risk. Yes, the stakes are high.

“And make no mistake about it: we are now writing the code that will shape our collective future.” CEO of Siemens AG

…

Contrary to Milton Friedman’s maxim, the business of business should not just be business. Shareholder value alone should not be the yardstick. Instead, we should make stakeholder value, or better yet, social value, the benchmark for a company’s performance.

Today, stakeholders…rightfully expect companies to assume greater social responsibility, for example, by protecting the climate, fighting for social justice, aiding refugees, and training and educating workers. The business of business should be to create value for society.

…

This seamless integration of the virtual and the physical worlds in so-called cyber-physical systems – that is the giant leap we see today. It eclipses everything that has happened in industry so far. As in previous industrial revolutions but on a much larger scale, the Fourth Industrial Revolution will eliminate millions of jobs and create millions of new jobs.

“…because the Fourth Industrial Revolution runs on knowledge, we need a concurrent revolution in training and education.
…
If the workforce doesn’t keep up with advances in knowledge throughout their lives, how will the millions of new jobs be filled?”

Joe Kaeser, President and Chief Executive Officer, Siemens AG

From DSC:
At least three critically important things jump out at me here:

We are quickly approaching a time when people will need to be able to reinvent themselves quickly and cost-effectively, especially those with families and who are working in their (still existing) jobs. (Or have we already entered this period of time…?)
There is a need to help people identify which jobs are safe to reinvent themselves to — at least for the next 5-10 years.
Citizens across the globe — and their relevant legislatures, governments, and law schools — need to help close the gap between emerging technologies and whether those technologies should even be rolled out, and if so, how and with which features.

What freedoms and rights should individuals have in the digital age?

Joe Kaeser, President and Chief Executive Officer, Siemens AG

Want to retire and then hit the books? 10 great college towns for retirees [Kiesnoski]

On 12/31/2018, in higher education, history, human-computer interaction (HCI), innovation, IT in HE, learning, learning ecosystem, liberal arts, library / librarians, lifelong learning, Michigan, United States, universities, Virtual Reality (VR) / worlds / learning, by Daniel Christian

Want to retire and then hit the books? 10 great college towns for retirees — from cnbc.com by Kenneth Kiesnoski

Excerpt:

Kalamazoo, Michigan
University: Western Michigan University

There’s plenty to do in Kalamazoo, such as visits to Bell’s Brewery, the Kalamazoo Air Zoo, the Gilmore Car Museum and the W.K. Kellogg Bird Sanctuary. The city of some 75,000 is also home to four campuses of Western Michigan University. Budget-wise, Kalamazoo is easy on retiree pocketbooks; GoBankingRates found that Michigan residents pay 10.3 percent less, on average, for common living expenses than other Americans.

Also see:

WMU a leader in offering learning by virtual reality — from wmich.edu by Deanna Puca

Excerpt:

KALAMAZOO, Mich.—Travel the world for history class and actually see the culture. Practice surgery or accurately design a 3D car.

Western Michigan University offers significant opportunities in the areas of teaching, learning and research at one of the largest virtual reality laboratories at an institution of higher education.

The VR Lab at WMU Libraries was started to explore this revolutionary technology as a collaborative effort of the Office of Information Technology and Waldo Library. Opening the door to broad collaborative possibilities and feeding the curiosities of varied audiences, users have experienced both the entertainment and educational side of VR content in the lab’s first year.

“Libraries are in a huge state of change with technology,” says Lou Ann Morgan, senior marketing specialist for University Libraries.

Reflections on “Facial recognition has to be regulated to protect the public, says AI report” [Knight]

On 12/31/2018, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, Canada, corporate / business world, dangers of the status quo, Daniel S. Christian, digital photography, digital video, emerging technologies, ethics, Europe, future, game-changing environment, generational differences, global, human-computer interaction (HCI), ideas, India, intelligent systems, internet, law schools, leadership, legislatures / government / legal, machine-to-machine communications, Michigan, morals/values, pace of change, platforms, society, sociology, technologies for your home, technology (general), the downsides of how people use tech, tools, trends, UK, United States, vendors, by Daniel Christian

Facial recognition has to be regulated to protect the public, says AI report — from technologyreview.com by Will Knight
The research institute AI Now has identified facial recognition as a key challenge for society and policymakers—but is it too late?

Excerpt (emphasis DSC):

Artificial intelligence has made major strides in the past few years, but those rapid advances are now raising some big ethical conundrums.

Chief among them is the way machine learning can identify people’s faces in photos and video footage with great accuracy. This might let you unlock your phone with a smile, but it also means that governments and big corporations have been given a powerful new surveillance tool.

A new report from the AI Now Institute (large PDF), an influential research institute based in New York, has just identified facial recognition as a key challenge for society and policymakers.

Also see:

EXECUTIVE SUMMARY
At the core of the cascading scandals around AI in 2018 are questions of accountability: who is responsible when AI systems harm us? How do we understand these harms, and how do we remedy them? Where are the points of intervention, and what additional research and regulation is needed to ensure those interventions are effective? Currently there are few answers to these questions, and the frameworks presently governing AI are not capable of ensuring accountability. As the pervasiveness, complexity, and scale of these systems grow, the lack of meaningful accountability and oversight – including basic safeguards of responsibility, liability, and due process – is an increasingly urgent concern.

Building on our 2016 and 2017 reports, the AI Now 2018 Report contends with this central
problem and addresses the following key issues:

The growing accountability gap in AI, which favors those who create and deploy these
technologies at the expense of those most affected
The use of AI to maximize and amplify surveillance, especially in conjunction with facial
and affect recognition, increasing the potential for centralized control and oppression
Increasing government use of automated decision systems that directly impact individuals and communities without established accountability structures
Unregulated and unmonitored forms of AI experimentation on human populations
The limits of technological solutions to problems of fairness, bias, and discrimination

Within each topic, we identify emerging challenges and new research, and provide recommendations regarding AI development, deployment, and regulation. We offer practical pathways informed by research so that policymakers, the public, and technologists can better understand and mitigate risks. Given that the AI Now Institute’s location and regional expertise is concentrated in the U.S., this report will focus primarily on the U.S. context, which is also where several of the world’s largest AI companies are based.

From DSC:
As I said in this posting, we need to be aware of the emerging technologies around us. Just because we can, doesn’t mean we should. People need to be aware of — and involved with — which emerging technologies get rolled out (or not) and/or which features are beneficial to roll out (or not).

One of the things that’s beginning to alarm me these days is how the United States has turned over the keys to the Maserati — i.e., think an expensive, powerful thing — to youth who lack the life experiences to know how to handle such power and, often, the proper respect for such power. Many of these youthful members of our society don’t own the responsibility for the positive and negative influences and impacts that such powerful technologies can have (and the more senior execs have not taken enough responsibility either)!

If you owned the car below, would you turn the keys of this ~$137,000+ car over to your 16-25 year old? Yet that’s what America has been doing for years. And, in some areas, we’re now paying the price.

The corporate world continues to discard the hard-earned experience that age brings…as they shove older people out of the workforce. (I hesitate to use the word wisdom…but in some cases, that’s also relevant/involved here.) Then we, as a society, sit back and wonder how did we get to this place?

Even technologists and programmers in their 20’s and 30’s are beginning to step back and ask…WHY did we develop this application or that feature? Was it — is it — good for society? Is it beneficial? Or should it be tabled or revised into something else?

Below is but one example — though I don’t mean to pick on Microsoft, as they likely have more older workers than the Facebooks, Googles, or Amazons of the world. I fully realize that all of these companies have some older employees. But the youth-oriented culture in American today has almost become an obsession — and not just in the tech world. Turn on the TV, check out the new releases on Netflix, go see a movie in a theater, listen to the radio, cast but a glance at the magazines in the check out lines, etc. and you’ll instantly know
what I mean.

In the workplace, there appears to be a bias against older employees as being less innovative or tech-savvy — such a perspective is often completely incorrect. Go check out LinkedIn for items re: age discrimination…it’s a very real thing. But many of us over the age of 30 know this to be true if we’ve lost a job in the last decade or two and have tried to get a job that involves technology.

Microsoft argues facial-recognition tech could violate your rights — from finance.yahoo.com by Rob Pegoraro

Excerpt (emphasis DSC):

On Thursday, the American Civil Liberties Union provided a good reason for us to think carefully about the evolution of facial-recognition technology. In a study, the group used Amazon’s (AMZN) Rekognition service to compare portraits of members of Congress to 25,000 arrest mugshots. The result: 28 members were mistakenly matched with 28 suspects.

The ACLU isn’t the only group raising the alarm about the technology. Earlier this month, Microsoft (MSFT) president Brad Smith posted an unusual plea on the company’s blog asking that the development of facial-recognition systems not be left up to tech companies.

Saying that the tech “raises issues that go to the heart of fundamental human rights protections like privacy and freedom of expression,” Smith called for “a government initiative to regulate the proper use of facial recognition technology, informed first by a bipartisan and expert commission.”

But we may not get new laws anytime soon.

Just because we can…

Smart speakers hit critical mass in 2018 — from techcrunch.com by Sarah Perez

Excerpt (emphasis DSC):

We already know Alexa had a good Christmas — the app shot to the top of the App Store over the holidays, and the Alexa service even briefly crashed from all the new users. But Alexa, along with other smart speaker devices like Google Home, didn’t just have a good holiday — they had a great year, too. The smart speaker market reached critical mass in 2018, with around 41 percent of U.S. consumers now owning a voice-activated speaker, up from 21.5 percent in 2017.

In the U.S., there are now more than 100 million Alexa-enabled devices installed — a key milestone for Alexa to become a “critical mass platform,” the report noted.

How long before this type of thing is standard in smart classrooms & learning hubs? [Christian]

On 12/20/2018, in A/V -- audio/visual, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, Daniel S. Christian, education technology, emerging technologies, face-to-face, faculty/staff, future, future of higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, learning, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, machine-to-machine communications, multimedia, Natural Language Processing (NLP), Near Field Communication (NFC), personalized/customized learning, platforms, smart classrooms, teachers, teaching & learning, technologies for your home, technology (general), tools, universities, user experience (UX), vision/possibilities, by Daniel Christian

From DSC:
When a professor walks into the room, the mobile device that the professor is carrying notifies the system to automatically establish his or her preferred settings for the room — and/or voice recognition allows a voice-based interface to adjust the room’s settings:

The lights dim to 50%
The projector comes on
The screen comes down
The audio is turned up to his/her liking
The LMS is logged into with his/her login info and launches the class that he/she is teaching at that time of day
The temperature is checked and adjusted if too high or low
Etc.

Guide to how artificial intelligence can change the world – Part 3 — from intelligenthq.com by Maria Fonseca and Paula Newton
This is part 3 of a Guide in 4 parts about Artificial Intelligence. The guide covers some of its basic concepts, history and present applications, possible developments in the future, and also its challenges as opportunities.

Excerpt:

Artificial intelligence is considered to be anything that gives machines intelligence which allows them to reason in the way that humans can. Machine learning is an element of artificial intelligence which is when machines are programmed to learn. This is brought about through the development of algorithms that work to find patterns, trends and insights from data that is input into them to help with decision making. Deep learning is in turn an element of machine learning. This is a particularly innovative and advanced area of artificial intelligence which seeks to try and get machines to both learn and think like people.

Also see:

LinkedIn’s 2018 U.S. emerging jobs report — from economicgraph.linkedin.com

Excerpt (emphasis DSC):

Our biggest takeaways from this year’s Emerging Jobs Report:

Artificial Intelligence (AI) is here to stay. No, this doesn’t mean robots are coming for your job, but we are likely to see continued growth in fields and functions related to AI. This year, six out of the 15 emerging jobs are related in some way to AI, and our research shows that skills related to AI are starting to infiltrate every industry, not just tech. In fact, AI skills are among the fastest-growing skills on LinkedIn, and globally saw a 190% increase from 2015 to 2017.

From DSC:
How long before voice drives most appliances, thermostats, etc?

Hisense is bringing Android and AI smarts to its 2019 TV range — from techradar.com by Stephen Lambrechts
Some big announcements planned for CES 2019

Excerpt (emphasis DSC):

Hisense has announced that it will unveil the next evolution of its VIDAA smart TV platform at CES 2019 next month, promising to take full advantage of artificial intelligence with version 3.0.

Each television in Hisense’s 2019 ULED TV lineup will boast the updated VIDAA 3.0 AI platform, with Amazon Alexa functionality fully integrated into the devices, meaning you won’t need an Echo device to use Alexa voice control features.

Forecast 5.0 – The Future of Learning: Navigating the Future of Learning [Prince, Swanson, & King]

On 12/08/2018, in 21st century, adjunct faculty, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, change, colleges, community colleges, data related items, digital learning, education, education technology, emerging technologies, formal learning, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, instructional design, intelligent systems, intelligent tutoring, internet, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, learning spaces, mobile learning, multimedia, Natural Language Processing (NLP), online learning, online tutoring, pace of change, parents/guardians, personalized/customized learning, platforms, science, smart classrooms, social learning / networks, social media, society, sociology, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, technology (general), tools, trends, United States, universities, virtual tutoring, vision/possibilities, web-based collaboration, by Daniel Christian

Forecast 5.0 – The Future of Learning: Navigating the Future of Learning — from knowledgeworks.org by Katherine Prince, Jason Swanson, and Katie King
Discover how current trends could impact learning ten years from now and consider ways to shape a future where all students can thrive.

AI Now Report 2018: 10 Recommendations for AI [AI Now Institute]

On 12/07/2018, in 21st century, Amazon, Apple, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, change, colleges, community colleges, computer science, corporate / business world, emerging technologies, ethics, Facebook / Meta Platforms, future, game-changing environment, Google, higher education, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, internet, law schools, legislatures / government / legal, machine-to-machine communications, Microsoft, morals/values, pace of change, platforms, programming, society, sociology, surviving, technologies for your home, technology (general), the downsides of how people use tech, tools, trends, United States, universities, vendors, vision/possibilities, workplace, by Daniel Christian

AI Now Report 2018 | December 2018 — from ainowinstitute.org

Meredith Whittaker , AI Now Institute, New York University, Google Open Research
Kate Crawford , AI Now Institute, New York University, Microsoft Research
Roel Dobbe , AI Now Institute, New York University
Genevieve Fried , AI Now Institute, New York University
Elizabeth Kaziunas , AI Now Institute, New York University
Varoon Mathur , AI Now Institute, New York University
Sarah Myers West , AI Now Institute, New York University
Rashida Richardson , AI Now Institute, New York University
Jason Schultz , AI Now Institute, New York University School of Law
Oscar Schwartz , AI Now Institute, New York University

With research assistance from Alex Campolo and Gretchen Krueger (AI Now Institute, New York University)

Excerpt (emphasis DSC):

Building on our 2016 and 2017 reports, the AI Now 2018 Report contends with this central problem, and provides 10 practical recommendations that can help create accountability frameworks capable of governing these powerful technologies.

Governments need to regulate AI by expanding the powers of sector-specific agencies to oversee, audit, and monitor these technologies by domain.
Facial recognition and affect recognition need stringent regulation to protect the public interest.
The AI industry urgently needs new approaches to governance. As this report demonstrates, internal governance structures at most technology companies are failing to ensure accountability for AI systems.
AI companies should waive trade secrecy and other legal claims that stand in the way of accountability in the public sector.
Technology companies should provide protections for conscientious objectors, employee organizing, and ethical whistleblowers.
Consumer protection agencies should apply “truth-in-advertising” laws to AI products and services.
Technology companies must go beyond the “pipeline model” and commit to addressing the practices of exclusion and discrimination in their workplaces.
Fairness, accountability, and transparency in AI require a detailed account of the “full stack supply chain.”
More funding and support are needed for litigation, labor organizing, and community participation on AI accountability issues.
University AI programs should expand beyond computer science and engineering disciplines. AI began as an interdisciplinary field, but over the decades has narrowed to become a technical discipline. With the increasing application of AI systems to social domains, it needs to expand its disciplinary orientation. That means centering forms of expertise from the social and humanistic disciplines. AI efforts that genuinely wish to address social implications cannot stay solely within computer science and engineering departments, where faculty and students are not trained to research the social world. Expanding the disciplinary orientation of AI research will ensure deeper attention to social contexts, and more focus on potential hazards when these systems are applied to human populations.

Also see:

After a Year of Tech Scandals, Our 10 Recommendations for AI — from medium.com by the AI Now Institute
Let’s begin with better regulation, protecting workers, and applying “truth in advertising” rules to AI

Also see:

Excerpt:

As we discussed, this technology brings important and even exciting societal benefits but also the potential for abuse. We noted the need for broader study and discussion of these issues. In the ensuing months, we’ve been pursuing these issues further, talking with technologists, companies, civil society groups, academics and public officials around the world. We’ve learned more and tested new ideas. Based on this work, we believe it’s important to move beyond study and discussion. The time for action has arrived.

We believe it’s important for governments in 2019 to start adopting laws to regulate this technology. The facial recognition genie, so to speak, is just emerging from the bottle. Unless we act, we risk waking up five years from now to find that facial recognition services have spread in ways that exacerbate societal issues. By that time, these challenges will be much more difficult to bottle back up.

In particular, we don’t believe that the world will be best served by a commercial race to the bottom, with tech companies forced to choose between social responsibility and market success. We believe that the only way to protect against this race to the bottom is to build a floor of responsibility that supports healthy market competition. And a solid floor requires that we ensure that this technology, and the organizations that develop and use it, are governed by the rule of law.

From DSC:
This is a major heads up to the American Bar Association (ABA), law schools, governments, legislatures around the country, the courts, the corporate world, as well as for colleges, universities, and community colleges. The pace of emerging technologies is much faster than society’s ability to deal with them!

The ABA and law schools need to majorly pick up their pace — for the benefit of all within our society.

This type of functionality from Chegg will likely be a piece of a next gen learning platform

On 12/06/2018, in 21st century, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, community colleges, education technology, emerging technologies, faculty/staff, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning preferences, mathematics, online learning, personalized/customized learning, platforms, productivity / tips and tricks, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, technologies for your home, tools, TVs, universities, usability, user experience (UX), vendors, by Daniel Christian

The information below is from Heather Campbell at Chegg
(emphasis DSC)

Chegg Math Solver is an AI-driven tool to help the student understand math. It is more than just a calculator – it explains the approach to solving the problem. So, students won’t just copy the answer but understand and can solve similar problems at the same time. Most importantly,students can dig deeper into a problem and see why it’s solved that way. Chegg Math Solver.

In every subject, there are many key concepts and terms that are crucial for students to know and understand. Often it can be hard to determine what the most important concepts and terms are for a given subject, and even once you’ve identified them you still need to understand what they mean. To help you learn and understand these terms and concepts, we’ve provided thousands of definitions, written and compiled by Chegg experts. Chegg Definition.

From DSC:
I see this type of functionality as a piece of a next generation learning platform — a piece of the Living from the Living [Class] Room type of vision. Great work here by Chegg!

Likely, students will also be able to take pictures of their homework, submit it online, and have that image/problem analyzed for correctness and/or where things went wrong with it.

Alexa, get me the articles (voice interfaces in academia) [Dagan]

On 12/04/2018, in 21st century, Amazon, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, communities of practice, community colleges, heutagogy, higher education, human-computer interaction (HCI), ideas, innovation, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, lifelong learning, Natural Language Processing (NLP), platforms, research, society, student-related, teachers, teaching & learning, teaching online, technologies for your home, tools, trends, universities, usability, user experience (UX), vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

Alexa, get me the articles (voice interfaces in academia) — from blog.libux.co by Kelly Dagan

Excerpt:

Credit to Jill O’Neill, who has written an engaging consideration of applications, discussions, and potentials for voice-user interfaces in the scholarly realm. She details a few use case scenarios: finding recent, authoritative biographies of Jane Austen; finding if your closest library has an item on the shelf now (and whether it’s worth the drive based on traffic).

Coming from an undergraduate-focused (and library) perspective, I can think of a few more:

asking if there are any group study rooms available at 7 pm and making a booking
finding out if [X] is open now (Archives, the Cafe, the Library, etc.)
finding three books on the Red Brigades, seeing if they are available, and saving the locations
grabbing five research articles on stereotype threat, to read later

Also see:

What Will Scholarly Information Providers Do About Voice User Interfaces (VUI)? — fromscholarlykitchen.sspnet.org by Jill O’Neill

10 predictions for tech in 2019 — from enterprisersproject.com by Carla Rudder
IT leaders look at the road ahead and predict what’s next for containers, security, blockchain, and more

Excerpts:

We asked IT leaders and tech experts what they see on the horizon for the future of technology. We intentionally left the question open-ended, and as a result, the answers represent a broad range of what IT professionals may expect to face in the new year. Let’s dig in…

3. Security becomes must-have developer skill.
Developers who have job interviews next year will see a new question added to the usual list.

5. Ethics take center stage with tech talent
Robert Reeves, CTO and co-founder, Datical: “More companies (prompted by their employees) will become increasingly concerned about the ethics of their technology. Microsoft is raising concerns of the dangers of facial recognition technology; Google employees are very concerned about their AI products being used by the Department of Defense. The economy is good for tech right now and the job market is becoming tighter. Thus, I expect those companies to take their employees’ concerns very seriously. Of course, all bets are off when (not if) we dip into a recession. But, for 2019, be prepared for more employees of tech giants to raise ethical concerns and for those concerns to be taken seriously and addressed.”’

7. Customers expect instant satisfaction
“All customers will be the customer of ‘now,’ with expectations of immediate and personalized service; single-click approval for loans, sales quotes on the spot, and deliveries in hours instead of days. The window of opportunity for customer satisfaction will keep closing and technology will evolve to keep pace. Real-time analytics will become faster and smarter as data that is external to the organization, such as social, news and weather, will be included for more insights. The move to the cloud will accelerate with the growing adoption of open-source vendors.”

From DSC:
Regarding #7 above…as the years progress, how do you suppose this type of environment where people expect instant satisfaction and personalized service will impact education/training?

Mama Mia It’s Sophia: A Show Robot Or Dangerous Platform To Mislead? — from forbes.com by Noel Sharkey

Excerpts:

A collective eyebrow was raised by the AI and robotics community when the robot Sophia was given Saudia citizenship in 2017 The AI sharks were already circling as Sophia’s fame spread with worldwide media attention. Were they just jealous buzz-kills or is something deeper going on? Sophia has gripped the public imagination with its interesting and fun appearances on TV and on high-profile conference platforms.

Sophia is not the first show robot to attain celebrity status. Yet accusations of hype and deception have proliferated about the misrepresentation of AI to public and policymakers alike. In an AI-hungry world where decisions about the application of the technologies will impact significantly on our lives, Sophia’s creators may have crossed a line. What might the negative consequences be? To get answers, we need to place Sophia in the context of earlier show robots.

A dangerous path for our rights and security
For me, the biggest problem with the hype surrounding Sophia is that we have entered a critical moment in the history of AI where informed decisions need to be made. AI is sweeping through the business world and being delegated decisions that impact significantly on peoples lives from mortgage and loan applications to job interviews, to prison sentences and bail guidance, to transport and delivery services to medicine and care.

It is vitally important that our governments and policymakers are strongly grounded in the reality of AI at this time and are not misled by hype, speculation, and fantasy. It is not clear how much the Hanson Robotics team are aware of the dangers that they are creating by appearing on international platforms with government ministers and policymakers in the audience.

Frey: “…by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet.”

On 11/14/2018, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, community colleges, cost of getting a degree, Daniel S. Christian, digital learning, education, education reform, education technology, emerging technologies, face-to-face, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, MOOCs -- Massive Open Online Courses, more voice more choice more control, online learning, online tutoring, personalized/customized learning, platforms, universities, by Daniel Christian

From DSC:
I agree with futurist Thomas Frey:

“I’ve been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet.”

(source)

Along these lines, see what Arizona State University is up to:

We think of this as a transformation away from a mass-production model to a mass-personalization model. For us, that’s the big win in this whole process. When we move away from the large lectures in that mass-production model that we’ve used for the last 170 years and get into something that reflects each of the individual learners’ needs and can personalize their learning path through the instructional resources, we will have successfully moved the education industry to the new frontier in the learning process. We think that mass personalization has already permeated every aspect of our lives, from navigation to entertainment; and education is really the next big frontier.

(source)

From DSC:
Each year the vision I outlined here gets closer and closer and closer and closer. With the advancements in Artificial Intelligence (AI), change is on the horizon…big time. Mass personalization. More choice. More control.

Learning Ecosystems

Top six AI and automation trends for 2019 [Newman]

Want to retire and then hit the books? 10 great college towns for retirees [Kiesnoski]

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