change

How AI could help solve some of society’s toughest problems — from MIT Tech Review by Charlotte Jee
Machine learning and game theory help Carnegie Mellon assistant professor Fei Fang predict attacks and protect people.

Excerpt:

At MIT Technology Review’s EmTech conference, Fang outlined recent work across academia that applies AI to protect critical national infrastructure, reduce homelessness, and even prevent suicides.

Google Cloud’s new AI chief is on a task force for AI military uses and believes we could monitor ‘pretty much the whole world’ with drones — from businessinsider.in by Greg Sandoval

Andrew Moore, the new chief of Google Cloud AI, co-chairs a task force on AI and national security with deep defense sector ties.
Moore leads the task force with Robert Work, the man who reportedly helped to create Project Maven.
Moore has given various talks about the role of AI and defense, once noting that it was now possible to deploy drones capable of surveilling “pretty much the whole world.”
One former Googler told Business Insider that the hiring of Moore is a “punch in the face” to those employees.

How AI can be a force for good — from science.sciencemag.org

Excerpt:

The AI revolution is equally significant, and humanity must not make the same mistake again. It is imperative to address new questions about the nature of post-AI societies and the values that should underpin the design, regulation, and use of AI in these societies. This is why initiatives like the abovementioned AI4People and IEEE projects, the European Union (EU) strategy for AI, the EU Declaration of Cooperation on Artificial Intelligence, and the Partnership on Artificial Intelligence to Benefit People and Society are so important (see the supplementary materials for suggested further reading). A coordinated effort by civil society, politics, business, and academia will help to identify and pursue the best strategies to make AI a force for good and unlock its potential to foster human flourishing while respecting human dignity.

Ethical regulation of the design and use of AI is a complex but necessary task. The alternative may lead to devaluation of individual rights and social values, rejection of AI-based innovation, and ultimately a missed opportunity to use AI to improve individual wellbeing and social welfare.

Robot wars — from ethicaljournalismnetwork.org by James Ball
How artificial intelligence will define the future of news

Excerpt:

There are two paths ahead in the future of journalism, and both of them are shaped by artificial intelligence.

The first is a future in which newsrooms and their reporters are robust: Thanks to the use of artificial intelligence, high-quality reporting has been enhanced. Not only do AI scripts manage the writing of simple day-to-day articles such as companies’ quarterly earnings updates, they also monitor and track masses of data for outliers, flagging these to human reporters to investigate.

Beyond business journalism, comprehensive sports stats AIs keep key figures in the hands of sports journalists, letting them focus on the games and the stories around them. The automated future has worked.

The alternative is very different. In this world, AI reporters have replaced their human counterparts and left accountability journalism hollowed out. Facing financial pressure, news organizations embraced AI to handle much of their day-to-day reporting, first for their financial and sports sections, then bringing in more advanced scripts capable of reshaping wire copy to suit their outlet’s political agenda. A few banner hires remain, but there is virtually no career path for those who would hope to replace them ? and stories that can’t be tackled by AI are generally missed.

Who’s to blame when a machine botches your surgery? — from qz.com by Robert Hart

Excerpt:

That’s all great, but even if an AI is amazing, it will still fail sometimes. When the mistake is caused by a machine or an algorithm instead of a human, who is to blame?

This is not an abstract discussion. Defining both ethical and legal responsibility in the world of medical care is vital for building patients’ trust in the profession and its standards. It’s also essential in determining how to compensate individuals who fall victim to medical errors, and ensuring high-quality care. “Liability is supposed to discourage people from doing things they shouldn’t do,” says Michael Froomkin, a law professor at the University of Miami.

Alibaba looks to arm hotels, cities with its AI technology — from zdnet.com by Eileen Yu
Chinese internet giant is touting the use of artificial intelligence technology to arm drivers with real-time data on road conditions as well as robots in the hospitality sector, where they can deliver meals and laundry to guests.

Excerpt:

Alibaba A.I. Labs’ general manager Chen Lijuan said the new robots aimed to “bridge the gap” between guest needs and their expected response time. Describing the robot as the next evolution towards smart hotels, Chen said it tapped AI technology to address painpoints in the hospitality sector, such as improving service efficiencies.

Alibaba is hoping the robot can ease hotels’ dependence on human labour by fulfilling a range of tasks, including delivering meals and taking the laundry to guests.

Accenture Introduces Ella and Ethan, AI Bots to Improve a Patient’s Health and Care Using the Accenture Intelligent Patient Platform — from marketwatch.com

Excerpt:

Accenture has enhanced the Accenture Intelligent Patient Platform with the addition of Ella and Ethan, two interactive virtual-assistant bots that use artificial intelligence (AI) to constantly learn and make intelligent recommendations for interactions between life sciences companies, patients, health care providers (HCPs) and caregivers. Designed to help improve a patient’s health and overall experience, the bots are part of Accenture’s Salesforce Fullforce Solutions powered by Salesforce Health Cloud and Einstein AI, as well as Amazon’s Alexa.

German firm’s 7 commandments for ethical AI — from france24.com

Excerpt:

FRANKFURT AM MAIN (AFP) –
German business software giant SAP published Tuesday an ethics code to govern its research into artificial intelligence (AI), aiming to prevent the technology infringing on people’s rights, displacing workers or inheriting biases from its human designers.

The Law2020 podcast: How AI & similar emerging techs are reshaping the practice & profession of law

On 09/06/2018, in career development, change, emerging technologies, ethics, Law Schools, legislatures / government / legal, morals/values, podcasting, professional development, society, by Daniel Christian

About Law2020: The Podcast
Last month we launched the Law2020 podcast, an audio companion to Law2020, our four-part series of articles about how artificial intelligence and similar emerging technologies are reshaping the practice and profession of law. The podcast episodes and featured guests are as follows:

Access to Justice: Daniel Linna, Professor of Law in Residence and the Director of LegalRnD – The Center for Legal Services Innovation at Michigan State University College of Law.
Legal Ethics: Megan Zavieh, ethics and state bar defense lawyer.
Legal Research: Don MacLeod, Manager of Knowledge Management at Debevoise & Plimpton and author of How To Find Out Anything and The Internet Guide for the Legal Researcher.
Legal Analytics: Andy Martens, SVP & Global Head Legal Product and Editorial at Thomson Reuters.

The podcasts are short and lively, and we hope you’ll give them a listen. And if you haven’t done so already, we invite you to read the full feature stories over at the Law2020 website. Enjoy!

Smart Machines & Human Expertise: Challenges for Higher Education — from er.educause.edu by Diana Oblinger

Excerpts:

What does this mean for higher education? One answer is that AI, robotics, and analytics become disciplines in themselves. They are emerging as majors, minors, areas of emphasis, certificate programs, and courses in many colleges and universities. But smart machines will catalyze even bigger changes in higher education. Consider the implications in three areas: data; the new division of labor; and ethics.

Colleges and universities are challenged to move beyond the use of technology to deliver education. Higher education leaders must consider how AI, big data, analytics, robotics, and wide-scale collaboration might change the substance of education.

Higher education leaders should ask questions such as the following:

What place does data have in our courses?
Do students have the appropriate mix of mathematics, statistics, and coding to understand how data is manipulated and how algorithms work?
Should students be required to become “data literate” (i.e., able to effectively use and critically evaluate data and its sources)?

…

Higher education leaders should ask questions such as the following:

How might problem-solving and discovery change with AI?
How do we optimize the division of labor and best allocate tasks between humans and machines?
What role do collaborative platforms and collective intelligence have in how we develop and deploy expertise?

…
Higher education leaders should ask questions such as the following:

Even though something is possible, does that mean it is morally responsible?
How do we achieve a balance between technological possibilities and policies that enable—or stifle—their use?
An algorithm may represent a “trade secret,” but it might also reinforce dangerous assumptions or result in unconscious bias. What kind of transparency should we strive for in the use of algorithms?

25 skills LinkedIn says are most likely to get you hired in 2018 — and the online courses to get them — from businessinsider.com by Mara Leighton

Excerpt:

With the introduction of far-reaching and robust technology, the job market has experienced its own exponential growth, adaptation, and semi-metamorphosis. So much so that it can be difficult to guess what skills employer’s are looking for and what makes your résumé — and not another — stand out to recruiters.

Thankfully, LinkedIn created a 2018 “roadmap”— a list of hard and soft skills that companies need the most.

LinkedIn used data from their 500+ million members to identify the skills companies are currently working the hardest to fill. They grouped the skills members add to their profiles into several dozen categories (for example, “Android” and “iOS” into the “Mobile Development” category). Then, the company looked at all of the hiring and recruiting activity that happened on LinkedIn between January 1 and September 1 (billions of data points) and extrapolated the skill categories that belonged to members who were “more likely to start a new role within a company and receive interest from companies.”

LinkedIn then coupled those specific skills with related jobs and their average US salaries — all of which you can find below, alongside courses you can take (for free or for much less than the cost of a degree) to support claims of aptitude and stay ahead of the curve.

The online-learning options we included — LinkedIn Learning, Udemy, Coursera, and edX— are among the most popular and inexpensive.

Also see:

AI can now tell your boss what skills you lack—and how you can get them — from by technologyreview.com by Elizabeth Woyke
Coursera is unveiling a new machine learning tool to show companies what skills their employees are acquiring from its classes and their level of expertise.

Is higher ed shooting itself in the foot? [Christian]

On 08/22/2018, in 21st century, adult learning, business, business side of he, career development, change, changing business models, Christian education, colleges, community colleges, cost of getting a degree, credentialing, dangers of the status quo, Daniel S. Christian, digital learning, disruption, education technology, elearning, emerging technologies, face-to-face, for-profits, formal learning, future, future of higher education, game-changing environment, generational differences, Google, heutagogy, higher education, ideas, informal learning, learning, learning ecosystem, learning from the living [class] room, liberal arts, Lifelong learning, MOOCs -- Massive Open Online Courses, more choice more control, new business models, online learning, pace of change, perfect storm, platforms, real-world assignments, society, staying relevant, strategy, student-related, surviving, training / L&D, trends, universities, Walmart of Education --> New Amazon.com of Higher Education, workplace, youth, by Daniel Christian

15 more companies that no longer require a degree — apply now — from glassdoor.com

Excerpt:

With college tuition soaring nationwide, many Americans don’t have the time or money to earn a college degree. However, that doesn’t mean your job prospects are diminished. Increasingly, there are many companies offering well-paying jobs to those with non-traditional education or a high-school diploma.
…
Google and Ernest & Young are just two of the champion companies who realize that book smarts don’t necessarily equal strong work ethic, grit and talent. Whether you have your GED and are looking for a new opportunity or charting your own path beyond the traditional four-year college route, here are 15 companies that have said they do not require a college diploma for some of their top jobs.

From DSC:
Several years ago when gas prices were sky high, I couldn’t help but think that some industries — though they were able to grab some significant profits in the short term — were actually shooting themselves in the foot for the longer term. Sure enough, as time went by, people started looking for less expensive alternatives. For example, they started buying more hybrid vehicles, more electric cars, and the sales of smaller cars and lighter trucks increased. The average fuel economy of vehicles went up (example). The goal was to reduce or outright eliminate the number of trips to the gas station that people were required to make.

These days…I wonder if the same kind of thing is happening — or about to happen — with traditional institutions of higher education*? Are we shooting ourselves in the foot?

Traditional institutions of higher education better find ways to adapt, and to change their game (so to speak), before the alternatives to those organizations gain some major steam. There is danger in the status quo. Count on it. The saying, “Adapt or die” has now come to apply to higher ed as well.

Faculty, staff, and administrators within higher ed are beginning to experience what the corporate world has been experiencing for decades.

Faculty can’t just teach what they want to teach. They can’t just develop courses that they are interested in. The demand for courses that aren’t attractive career-wise will likely continue to decrease. Sure, it can be argued that many of those same courses — especially from the liberal arts colleges — are still valuable…and I would agree with some of those arguments. But the burden of proof continues to be shifted to the shoulders of those proposing such curricula.

Also, the costs of obtaining a degree needs to come down or:

The gorillas of debt on peoples’ backs will become a negative word of mouth that will be hard to compete against or adequately address as time goes by
The angst towards higher ed will continue to build
People will bolt for those promising alternatives to traditional higher ed where the graduates (badge earners, or whatever they’re going to be called) of those programs are hired and shown to be effective employees
I hope that this isn’t the case and that it’s not too late to change…but history will likely show that higher ed shot itself in the foot. The warning signs were all over the place.

The current trends are paving the way for a next generation learning platform that will serve someone from cradle to grave.

* I realize that many in higher ed would immediately dispute that their organizations are out to grab short term profits, that they don’t operate like a business, that they don’t operate under the same motivations as the corporate world, etc. And I can see some of these folks’ points, no doubt. I may even agree with some of the folks who represent organizations who freely share information with other organizations and have motivations other than making tons of money. But for those folks who staunchly hold to the belief that higher ed isn’t a business at all — well, for me, that’s taking things way too far. I do not agree with that perspective at all. One has to have their eyes (and minds) closed to cling to that perspective anymore. Just don’t ask those folks to tell you how much their presidents make (along with other higher-level members of their administrations), the salaries of the top football coaches, or how many millions of dollars many universities’ receive for their television contracts and/or their ticket sales, or how much revenue research universities bring in from patents and so on and so forth.

Addendum on 8/24, per University Ventures e-newsletter

2. Facebook Goes Back to College (emphasis DSC)
TechCrunch report on how digital giants are buying into Last-Mile Training by partnering with Pathstream to deliver necessary digital skills to community college students.
Most good first jobs specifically require one or more technologies like Facebook or Unity — technologies that colleges and universities aren’t teaching. If Pathstream is able to realize its vision of integrating industry-relevant software training into degree programs in a big way, colleges and universities have a shot at maintaining their stranglehold as the sole pathway to successful careers. If Pathstream’s impact is more limited, watch for millions of students to sidestep traditional colleges, and enroll in emerging faster and cheaper alternative pathways to good first jobs — alternative pathways that will almost certainly integrate the kind of last-mile training being pioneered by Pathstream.

America’s colleges and universities could learn a thing or two from Leo, because they continue to resist teaching students the practical things they’ll need to know as soon as they graduate; for instance, to get jobs that will allow them to make student loan payments. Digital skills head this list, specifically experience with the high-powered software they’ll be required to use every day in entry-level positions.

But talk to a college president or provost about the importance of Marketo, HubSpot, Pardot, Tableau, Adobe and Autodesk for their graduates, and they’re at a loss for how to integrate last-mile training into their degree programs in order prepare students to work on these essential software platforms.

Enter a new company, Pathstream, which just announced a partnership with tech leader Unity and previously partnered with Facebook. Pathstream supports the delivery of career-critical software skill training in VR/AR and digital marketing at colleges and universities.

Addendum on 8/24, per University Ventures e-newsletter
3. Faster + Cheaper Alternatives to College
Inside Higher Education Q&A on upcoming book A New U: Faster + Cheaper Alternatives to College.
Last-mile training is the inevitable by-product of two crises, one generally understood, the other less so. The crisis everyone understands is affordability and unsustainable levels of student loan debt. The other crisis is employability. Nearly half of all college graduates are underemployed in their first job. And we know that underemployment is pernicious and lasting. According to the recent report from Strada’s Institute for the Future of Work, two-thirds of underemployed graduates remain underemployed five years later, and half remain underemployed a decade later. So today’s students no longer buy that tired college line that “we prepare you for your fifth job, not your first job.” They know that if they don’t get a good first job, they’re probably not going to get a good fifth job. As a result, today’s students are laser-focused on getting a good first job in a growing sector of the economy.

2018 NMC Horizon Report: The trends, challenges, & developments likely to influence ed tech

On 08/18/2018, in 21st century, A/V -- audio/visual, active learning, Artificial Intelligence / Machine Learning / Deep Learning, attention, augmented reality, blended learning, Bring your own device (BYOD), change, cloud-based computing / apps / other cloud-related, colleges, community colleges, digital learning, education technology, emerging technologies, engagement / engaging students, future, future of higher education, game-changing environment, global / globalization, higher education, ideas, innovation, intelligent systems, learning, learning ecosystem, learning from the living [class] room, learning spaces, pedagogy, platforms, smart classrooms, student-related, teaching & learning, tools, trends, universities, XR - extended reality, by Daniel Christian

2018 NMC Horizon Report — from library.educause.edu

Excerpt:

What is on the five-year horizon for higher education institutions? Which trends and technology developments will drive educational change? What are the critical challenges and how can we strategize solutions? These questions regarding technology adoption and educational change steered the discussions of 71 experts to produce the NMC Horizon Report: 2018 Higher Education Edition brought to you by EDUCAUSE. This Horizon Report series charts the five-year impact of innovative practices and technologies for higher education across the globe. With more than 16 years of research and publications, the Horizon Project can be regarded as one of education’s longest-running explorations of emerging technology trends and uptake.

Six key trends, six significant challenges, and six developments in educational technology profiled in this higher education report are likely to impact teaching, learning, and creative inquiry in higher education. The three sections of this report constitute a reference and technology planning guide for educators, higher education leaders, administrators, policymakers, and technologists.

Also see:

2018 Higher Ed Horizon Report Highlights Measuring Learning and Redesigning Spaces — from campustechnology.com by Dian Schaffhauser

“‘The Beginning of a Wave’: A.I. Tiptoes Into the Workplace” [ Lohr] + 3 other items re: AI

On 08/14/2018, in 21st century, A/V -- audio/visual, algorithms, Amazon, Artificial Intelligence / Machine Learning / Deep Learning, bots, business, career development, change, ethics, health, human-computer interaction (HCI), Natural Language Processing (NLP), productivity / tips and tricks, the downsides of technology, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

‘The Beginning of a Wave’: A.I. Tiptoes Into the Workplace — from nytimes.com by Steve Lohr

Excerpt:

There is no shortage of predictions about how artificial intelligence is going to reshape where, how and if people work in the future.

But the grand work-changing projects of A.I., like self-driving cars and humanoid robots, are not yet commercial products. A more humble version of the technology, instead, is making its presence felt in a less glamorous place: the back office.

New software is automating mundane office tasks in operations like accounting, billing, payments and customer service. The programs can scan documents, enter numbers into spreadsheets, check the accuracy of customer records and make payments with a few automated computer keystrokes.

The technology is still in its infancy, but it will get better, learning as it goes. So far, often in pilot projects focused on menial tasks, artificial intelligence is freeing workers from drudgery far more often than it is eliminating jobs.

AI for Virtual Medical Assistants – 4 Current Applications — from techemergence.com by Kumba Sennaar

Excerpt:

In an effort to reduce the administrative burden of medical transcription and clinical documentation, researchers are developing AI-driven virtual assistants for the healthcare industry.

This article will set out to determine the answers to the following questions:

What types of AI applications are emerging to improve management of administrative tasks, such as logging medical information and appointment notes, in the medical environment?
How is the healthcare market implementing these AI applications?

Amazon’s Facial Recognition Wrongly Identifies 28 Lawmakers, A.C.L.U. Says — from nytimes.com by Natasha Singer

Excerpt:

In the test, the Amazon technology incorrectly matched 28 members of Congress with people who had been arrested, amounting to a 5 percent error rate among legislators.

The test disproportionally misidentified African-American and Latino members of Congress as the people in mug shots.

“This test confirms that facial recognition is flawed, biased and dangerous,” said Jacob Snow, a technology and civil liberties lawyer with the A.C.L.U. of Northern California.

On Thursday afternoon, three of the misidentified legislators — Senator Edward J. Markey of Massachusetts, Representative Luis V. Gutiérrez of Illinois and Representative Mark DeSaulnier of California, all Democrats — followed up with a letter to Jeff Bezos, the chief executive of Amazon, saying there are “serious questions regarding whether Amazon should be selling its technology to law enforcement at this time.”

Back from January:

10 Charts That Will Change Your Perspective On Artificial Intelligence’s Growth — from forbes.com by Louis Columbus

What is a learning ecosystem? And how does it support corporate strategy? [Eudy]

On 07/24/2018, in 21st century, 24x7x365 access, active learning, adjunct faculty, blended learning, business, career development, change, Christian education, colleges, communities of practice, community colleges, competency-based learning/education, Content aggregration, content development, content repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital learning, distance education, education, education technology, elearning, face-to-face, faculty, flipping -- inverted learning, heutagogy, higher education, homeschooling/homeschoolers, hybrid learning, ideas, instructional design, K-12 related, Law Schools, learning, learning ecosystem, learning from the living [class] room, learning hubs, learning spaces, library / librarians, Lifelong learning, Microlearning, MOOCs -- Massive Open Online Courses, network based learning, online learning, personalized/customized learning, platforms, play, PLNs, professional development, project-based learning, relationships, RSS, simulations, smart classrooms, social learning / networks, social media, staying relevant, streams of content, student-related, surviving, teachers, teaching & learning, technology (general), tools, training / L&D, Universal Design for Learning (UDL), universities, virtual tutoring, Walmart of Education --> New Amazon.com of Higher Education, web-based collaboration, workplace, youth, by Daniel Christian

What is a learning ecosystem? And how does it support corporate strategy? — from ej4.com by Ryan Eudy

Excerpt:

A learning ecosystem is a system of people, content, technology, culture, and strategy, existing both within and outside of an organization, all of which has an impact on both the formal and informal learning that goes on in that organization.

The word “ecosystem” is worth paying attention to here. It’s not just there to make the term sound fancy or scientific. A learning ecosystem is the L&D equivalent of an ecosystem out in the wild. Just as a living ecosystem has many interacting species, environments, and the complex relationships among them, a learning ecosystem has many people and pieces of content, in different roles and learning contexts, and complex relationships.

Just like a living ecosystem, a learning ecosystem can be healthy or sick, nurtured or threatened, self-sustaining or endangered. Achieving your development goals, then, requires an organization to be aware of its own ecosystem, including its parts and the internal and external forces that shape them.

From DSC:
Yes, to me, the concept/idea of a learning ecosystem IS important. Very important. So much so, I named this blog after it.

Each of us as individuals have a learning ecosystem, whether we officially recognize it or not. So do the organizations that we work for. And, like an ecosystem out in nature, a learning ecosystem is constantly morphing, constantly changing.

We each have people in our lives that help us learn and grow, and the people that were in our learning ecosystems 10 years ago may or may not still be in our current learning ecosystems. Many of us use technologies and tools to help us learn and grow. Then there are the spaces where we learn — both physical and virtual spaces. Then there are the processes and procedures we follow, formally and/or informally. Any content that helps us learn and grow is a part of that ecosystem. Where we get that content can change, but obtaining up-to-date content is a part of our learning ecosystems. I really appreciate streams of content in this regard — and tapping into blogs/websites, especially via RSS feeds and Feedly (an RSS aggregator that took off when Google Reader left the scene).

The article brings up a good point when it states that a learning ecosystem can be “healthy or sick, nurtured or threatened, self-sustaining or endangered.” That’s why I urge folks to be intentional about maintaining and, better yet, consistently enhancing their learning ecosystems. In this day and age where lifelong learning is now a requirement to remain in the workforce, each of us needs to be intentional in this regard.

Schools can not get facial recognition tech for free. Should they? — from wired.com by Issie Lapowsky

Excerpt:

Over the past two years, RealNetworks has developed a facial recognition tool that it hopes will help schools more accurately monitor who gets past their front doors. Today, the company launched a website where school administrators can download the tool, called SAFR, for free and integrate it with their own camera systems. So far, one school in Seattle, which Glaser’s kids attend, is testing the tool and the state of Wyoming is designing a pilot program that could launch later this year. “We feel like we’re hitting something there can be a social consensus around: that using facial recognition technology to make schools safer is a good thing,” Glaser says.

From DSC:
Personally, I’m very uncomfortable with where facial recognition is going in some societies. What starts off being sold as being helpful for this or that application, can quickly be abused and used to control its citizens. For example, look at what’s happening in China already these days!

The above article talks about these techs being used in schools. Based upon history, I seriously question whether humankind can wisely handle the power of these types of technologies.

Here in the United States, I already sense a ton of cameras watching each of us all the time when we’re out in public spaces (such as when we are in grocery stores, or gas stations, or in restaurants or malls, etc.). What’s the unspoken message behind those cameras? What’s being stated by their very presence around us?

No. I don’t like the idea of facial recognition being in schools. I’m not comfortable with this direction. I can see the counter argument — that this tech could help reduce school shootings. But I think that’s a weak argument, as someone mentally unbalanced enough to be involved with a school shooting likely won’t be swayed/deterred by being on camera. In fact, one could argue that in some cases, being on the national news — with their face being plastered all over the nation — might even put gas on the fire.

Glaser, for one, welcomes federal oversight of this space. He says it’s precisely because of his views on privacy that he wants to be part of what is bound to be a long conversation about the ethical deployment of facial recognition. “This isn’t just sci-fi. This is becoming something we, as a society, have to talk about,” he says. “That means the people who care about these issues need to get involved, not just as hand-wringers but as people trying to provide solutions. If the only people who are providing facial recognition are people who don’t give a &*&% about privacy, that’s bad.”

Per this week’s Next e-newsletter from edsurge.com

Take the University of San Francisco, which deploys facial recognition software in its dormitories. Students still use their I.D. card to swipe in, according to Edscoop, but the face of every person who enters a dorm is scanned and run through a database, and alerts the dorm attendant when an unknown person is detected. Online students are not immune: the technology is also used in many proctoring tools for virtual classes.

The tech raises plenty of tough issues. Facial-recognition systems have been shown to misidentify young people, people of color and women more often than white men. And then there are the privacy risks: “All collected data is at risk of breach or misuse by external and internal actors, and there are many examples of misuse of law enforcement data in other contexts,” a white paper by the Electronic Frontier foundation reads.

It’s unclear whether such facial-scanners will become common at the gates of campus. But now that cost is no longer much of an issue for what used to be an idea found only in science fiction, it’s time to weigh the pros and cons of what such a system really means in practice.

Also see:

As facial recognition technology becomes pervasive, Microsoft (yes, Microsoft) issues a call for regulation — from techcrunch.com by Jonathan Shieber
Excerpt:
Technology companies have a privacy problem. They’re terribly good at invading ours and terribly negligent at protecting their own. And with the push by technologists to map, identify and index our physical as well as virtual presence with biometrics like face and fingerprint scanning, the increasing digital surveillance of our physical world is causing some of the companies that stand to benefit the most to call out to government to provide some guidelines on how they can use the incredibly powerful tools they’ve created. That’s what’s behind today’s call from Microsoft President Brad Smith for government to start thinking about how to oversee the facial recognition technology that’s now at the disposal of companies like Microsoft, Google, Apple and government security and surveillance services across the country and around the world.

Experts say we’re approaching a third wave of higher-ed reform — from ecampusnews.com by laura Ascione

Excerpt:

As the global economy changes and demands more highly-skilled workers, some experts are tracking what they call a third wave of postsecondary education reform focused on making sure graduates have career-long alignment between their education and the job market.

The new report from Jobs for the Future (JFF) and Pearson notes that a career path won’t have a single-job trajectory, but instead will require a lifetime of learning. Higher education will have to experience significant reform to create graduates equipped for such a workforce, the report’s authors claim.

To think about the future of work, first imagine a highway.

Take Route 66 in the US, connecting Chicago to Los Angeles. Or, in the UK, the 410 miles of the A1 from London to Edinburgh. There are defined endpoints, directional signs, entrances, and exits. Millions reach their destinations via these roads. Route 66 and the A1 were fit for purpose.

Traditional routes to employment have functioned much like these roads. Conventional credentials, university degrees, and vocational training have offered defined entrances and exits for individuals looking for jobs that lead to careers. But the world of work is changing fast. The future of work will require a more flexible, dynamic, and equitable system of preparation. A map of this system may look less like a highway and more like the iconic web of circles and intersections of the London Underground.

…

This report, Demand-Driven Education, concludes that we are on the cusp of a new wave of postsecondary education reform. The first wave focused on access — getting more people to enter higher education. The second wave focused on improving academic success — getting more students to earn certificates and degrees. These waves served as the traditional highways to employment.

Now marks the transition to a third wave — which we call “demand driven education” — where programs focus more strongly than ever on ensuring graduates are job-ready and have access to rewarding careers over the course of their lifetimes. Demand-driven education adapts to the needs of the learner and the employer. It responds to signals from society to ensure alignment between desired qualifications and available training.

This wave represents the convergence of the worlds of education and work, creating new intersections, pathways, and possibilities for advancement. Much like the London Underground connecting its 32 boroughs via line, train, and bus, this new wave enables learners to take multiple routes throughout their lives to multiple destinations.

Learning Ecosystems

How AI could help solve some of society’s toughest problems [Jee] + 7 other AI related items showing the potential +’s and -‘s of tech

The Law2020 podcast: How AI & similar emerging techs are reshaping the practice & profession of law

Smart Machines & Human Expertise: Challenges for Higher Education [Oblinger]

25 skills LinkedIn says are most likely to get you hired in 2018 — and the online courses to get them [Leighton]

“‘The Beginning of a Wave’: A.I. Tiptoes Into the Workplace” [ Lohr] + 3 other items re: AI

Experts say we’re approaching a third wave of higher-ed reform [Ascione]

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