Psalm 25:4-6 New International Version (NIV) — from biblegateway.com
4 Show me your ways, Lord,
teach me your paths.
5 Guide me in your truth and teach me,
for you are God my Savior,
and my hope is in you all day long.
6 Remember, Lord, your great mercy and love,
for they are from of old.
The Top 30 Emerging Technologies (2018–2028)
#emergingtech #emergingtechnology #tech #technology by @SeanMoffitt HT @SpirosMargaris MT @MikeQuindazzi #AI #IoT #MobileApps #SocialMedia #BigData #Blockchain #Robots pic.twitter.com/Hxd6hNw2Vi— Fred Steube (@steube) October 7, 2018
This is how the Future Today Institute researches, models & maps the future & develops strategies
Also see what the Institute for the Future does in this regard
Foresight Tools
IFTF has pioneered tools and methods for building foresight ever since its founding days. Co-founder Olaf Helmer was the inventor of the Delphi Method, and early projects developed cross-impact analysis and scenario tools. Today, IFTF is methodologically agnostic, with a brimming toolkit that includes the following favorites…
From DSC:
How might higher education use this foresight workflow? How might we better develop a future-oriented mindset?
From my perspective, I think that we need to be pulse-checking a variety of landscapes, looking for those early signals. We need to be thinking about what should be on our radars. Then we need to develop some potential scenarios and strategies to deal with those potential scenarios if they occur. Graphically speaking, here’s an excerpted slide from my introductory piece for a NGLS 2017 panel that we did.
This resource regarding their foresight workflow was mentioned in a recent e-newsletter from the FTI where they mentioned this important item as well:
But China also decided to ban the import of foreign plastic waste –– which includes trash from around the U.S. and Europe. The U.S. alone could wind up with an extra 37 million metric tons of plastic waste, and we don’t have a plan for what to do with it all.
Immediate Futures Scenarios: Year 2019
Watchlist: United Nations’ Intergovernmental Panel on Climate Change; European Geosciences Union; National Oceanic and Atmospheric Administration (NOAA); NASA; Department of Energy; Department of Homeland Security; House Armed Services Sub-committee on Emerging Threats and Capabilities; Environmental Justice Foundation; Columbia University’s Earth Institute; University of North Carolina at Wilmington; Potsdam Institute for Climate Impact Research; National Center for Atmospheric Research.
How AI could help solve some of society’s toughest problems — from technologyreview.com by Charlotte Jee
Machine learning and game theory help Carnegie Mellon assistant professor Fei Fang predict attacks and protect people.
Excerpt:
Fei Fang has saved lives. But she isn’t a lifeguard, medical doctor, or superhero. She’s an assistant professor at Carnegie Mellon University, specializing in artificial intelligence for societal challenges.
At MIT Technology Review’s EmTech conference on Wednesday, Fang outlined recent work across academia that applies AI to protect critical national infrastructure, reduce homelessness, and even prevent suicides.
How AI can be a force for good — from science.sciencemag.org by Mariarosaria Taddeo & Luciano Floridi
Excerpts:
Invisibility and Influence
AI supports services, platforms, and devices that are ubiquitous and used on a daily basis. In 2017, the International Federation of Robotics suggested that by 2020, more than 1.7 million new AI-powered robots will be installed in factories worldwide. In the same year, the company Juniper Networks issued a report estimating that, by 2022, 55% of households worldwide will have a voice assistant, like Amazon Alexa.
As it matures and disseminates, AI blends into our lives, experiences, and environments and becomes an invisible facilitator that mediates our interactions in a convenient, barely noticeable way. While creating new opportunities, this invisible integration of AI into our environments poses further ethical issues. Some are domain-dependent. For example, trust and transparency are crucial when embedding AI solutions in homes, schools, or hospitals, whereas equality, fairness, and the protection of creativity and rights of employees are essential in the integration of AI in the workplace. But the integration of AI also poses another fundamental risk: the erosion of human self-determination due to the invisibility and influencing power of AI.
…
To deal with the risks posed by AI, it is imperative to identify the right set of fundamental ethical principles to inform the design, regulation, and use of AI and leverage it to benefit as well as respect individuals and societies. It is not an easy task, as ethical principles may vary depending on cultural contexts and the domain of analysis. This is a problem that the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems tackles with the aim of advancing public debate on the values and principles that should underpin ethical uses of AI.
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.
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
Excerpt:
“We could afford if we wanted to, and if we needed, to be surveilling pretty much the whole word with autonomous drones of various kinds,” Moore said. “I’m not saying we’d want to do that, but there’s not a technology gap there where I think it’s actually too difficult to do. This is now practical.”
…
Google’s decision to hire Moore was greeted with displeasure by at least one former Googler who objected to Project Maven.
“It’s worrisome to note after the widespread internal dissent against Maven that Google would hire Andrew Moore,” said one former Google employee. “Googlers want less alignment with the military-industrial complex, not more. This hire is like a punch in the face to the over 4,000 Googlers who signed the Cancel Maven letter.”
Organizations Are Gearing Up for More Ethical and Responsible Use of Artificial Intelligence, Finds Study — from businesswire.com
Ninety-two percent of AI leaders train their technologists in ethics; 74 percent evaluate AI outcomes weekly, says report from SAS, Accenture Applied Intelligence, Intel, and Forbes Insights
Excerpt:
AI oversight is not optional
Despite popular messages suggesting AI operates independently of human intervention, the research shows that AI leaders recognize that oversight is not optional for these technologies. Nearly three-quarters (74 percent) of AI leaders reported careful oversight with at least weekly review or evaluation of outcomes (less successful AI adopters: 33 percent). Additionally, 43 percent of AI leaders shared that their organization has a process for augmenting or overriding results deemed questionable during review (less successful AI adopters: 28 percent).
Do robots have rights? Here’s what 10 people and 1 robot have to say — from createdigital.org.au
When it comes to the future of technology, nothing is straightforward, and that includes the array of ethical issues that engineers encounter through their work with robots and AI.
From DSC:
When the race track is going 180mph, you can’t walk or jog onto the track. What do I mean by that?
Consider this quote from an article that Jeanne Meister wrote out at Forbes entitled, “The Future of Work: Three New HR Roles in the Age of Artificial Intelligence:”*
This emphasis on learning new skills in the age of AI is reinforced by the most recent report on the future of work from McKinsey which suggests that as many as 375 million workers around the world may need to switch occupational categories and learn new skills because approximately 60% of jobs will have least one-third of their work activities able to be automated.
Go scan the job openings and you will likely see many that have to do with technology, and increasingly, with emerging technologies such as artificial intelligence, deep learning, machine learning, virtual reality, augmented reality, mixed reality, big data, cloud-based services, robotics, automation, bots, algorithm development, blockchain, and more.
From Robert Half’s 2019 Technology Salary Guide
How many of us have those kinds of skills? Did we get that training in the community colleges, colleges, and universities that we went to? Highly unlikely — even if you graduated from one of those institutions only 5-10 years ago. And many of those institutions are often moving at the pace of a nice leisurely walk, with some moving at a jog, even fewer are sprinting. But all of them are now being asked to enter a race track that’s moving at 180mph. Higher ed — and society at large — are not used to moving at this pace.
This is why I think that higher education and its regional accrediting organizations are going to either need to up their game hugely — and go through a paradigm shift in the required thinking/programming/curricula/level of responsiveness — or watch while alternatives to institutions of traditional higher education increasingly attract their learners away from them.
This is also, why I think we’ll see an online-based, next generation learning platform take place. It will be much more nimble — able to offer up-to-the minute, in-demand skills and competencies.
The below graphic is from:
Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages
* Three New HR Roles To Create Compelling Employee Experiences
These new HR roles include:
What do these three roles have in common? All have been created in the last three years and acknowledge the growing importance of a company’s commitment to create a compelling employee experience by using data, research, and predictive analytics to better serve the needs of employees. In each case, the employee assuming the new role also brought a new set of skills and capabilities into HR. And importantly, the new roles created in HR address a common vision: create a compelling employee experience that mirrors a company’s customer experience.
An excerpt from McKinsey Global Institute | Notes from the Frontier | Modeling the Impact of AI on the World Economy
Workers.
A widening gap may also unfold at the level of individual workers. Demand for jobs could shift away from repetitive tasks toward those that are socially and cognitively driven and others that involve activities that are hard to automate and require more digital skills.12 Job profiles characterized by repetitive tasks and activities that require low digital skills may experience the largest decline as a share of total employment, from some 40 percent to near 30 percent by 2030. The largest gain in share may be in nonrepetitive activities and those that require high digital skills, rising from some 40 percent to more than 50 percent. These shifts in employment would have an impact on wages. We simulate that around 13 percent of the total wage bill could shift to categories requiring nonrepetitive and high digital skills, where incomes could rise, while workers in the repetitive and low digital skills categories may potentially experience stagnation or even a cut in their wages. The share of the total wage bill of the latter group could decline from 33 to 20 percent.13 Direct consequences of this widening gap in employment and wages would be an intensifying war for people, particularly those skilled in developing and utilizing AI tools, and structural excess supply for a still relatively high portion of people lacking the digital and cognitive skills necessary to work with machines.
Luke 10:25-37 New International Version (NIV) — from biblegateway.com
The Parable of the Good Samaritan
25 On one occasion an expert in the law stood up to test Jesus. “Teacher,” he asked, “what must I do to inherit eternal life?”
26 “What is written in the Law?” he replied. “How do you read it?”
27 He answered, “‘Love the Lord your God with all your heart and with all your soul and with all your strength and with all your mind’; and, ‘Love your neighbor as yourself.’”
28 “You have answered correctly,” Jesus replied. “Do this and you will live.”
29 But he wanted to justify himself, so he asked Jesus, “And who is my neighbor?”
30 In reply Jesus said: “A man was going down from Jerusalem to Jericho, when he was attacked by robbers. They stripped him of his clothes, beat him and went away, leaving him half dead. 31 A priest happened to be going down the same road, and when he saw the man, he passed by on the other side. 32 So too, a Levite, when he came to the place and saw him, passed by on the other side.33 But a Samaritan, as he traveled, came where the man was; and when he saw him, he took pity on him. 34 He went to him and bandaged his wounds, pouring on oil and wine. Then he put the man on his own donkey, brought him to an inn and took care of him. 35 The next day he took out two denarii and gave them to the innkeeper. ‘Look after him,’ he said, ‘and when I return, I will reimburse you for any extra expense you may have.’
36 “Which of these three do you think was a neighbor to the man who fell into the hands of robbers?”
37 The expert in the law replied, “The one who had mercy on him.”
Jesus told him, “Go and do likewise.”
From DSC:
The Samaritan had to sacrifice something here — time and money come to mind, but also, as our pastor said the other day, the Samaritan took an enormous risk caring for this wounded man. The Samaritan himself could have been beaten up (or worse) back in that time.
Coursera’s CEO on the Evolving Meaning of ‘MOOC’ — from by Dian Schaffhauser
When you can bring huge numbers of students together with lots of well-branded universities and global enterprises seeking a highly skilled workforce, could those linkages be strong enough to forge a new future for massive open online courses?
Excerpts:
Campus Technology: Coursera used to be a MOOC operator, but now it’s a tech company, an LMS company, a virtual bootcamp and more. So how are you describing Coursera these days?
Maggioncalda: As a learning platform. We like to say to our universities, “Coursera is a platform for your global campus.”
You have [traditional universities] teaching with some of the world’s best professors, with some of the most cutting-edge research, to a population of people who have sat right here in front of you, on a small parcel of land, and who pay a lot of money to do that. It’s been very high quality that’s been available to the very few.
What we’re interested in doing is taking that quality of education and making it available to a vast group of people. When you think about our business model, I like to think about it as an ecosystem of learners, educators and employers. What we do is we link them together. We have 34 million learners from around the world. Our biggest country represented is the United States, followed by India, followed by China, followed by Mexico, followed by Brazil. A lot of the emerging markets and the learners there are coming to Coursera to learn and prosper.
…
[Editor’s note: Coursera currently hosts 10 online degree programs. And most recently, in July 2018, the University of Pennsylvania announced that it was launching its first fully online master’s degree, delivered through Coursera and priced at about a third of the cost of its on-campus equivalent.]…
…
CT: Let’s talk about the University of Pennsylvania deal. Do you think that’s going to put some competitive pressure on the other Tier 1 schools to jump into the fray?
Maggioncalda: This is a very well-regarded program. The University of Pennsylvania is a very well-regarded university. I think it’s causing a lot of people to re-evaluate what they were imagining their future might look like: Maybe learners really do want to have access that’s more convenient and lower cost and they don’t have to quit their jobs to take. And maybe there is literally a world of learners who can’t come to campus, in India and Europe and Latin America and Russia and Asia Pacific and China.
As a learning platform. We like to say to our universities, “Coursera is a platform for your global campus.”
Jeff Maggioncalda, Coursera CEO
In two years we’ve had over 1,400 companies hire Coursera to deliver university courses at work to their employees.
Now we’re starting to link the 34 million learners out there to the employers who are looking for people who have certain skills, saying, “Look, if you’re on Coursera learning about this thing, there might be companies who want to hire people that know the thing that you just learned.”
Jeff Maggioncalda, Coursera CEO
![The Living [Class] Room -- by Daniel Christian -- July 2012](http://danielschristian.com/learning-ecosystems/wp-content/uploads/2012/07/The-Living-Class-Room-Daniel-S-Christian-July-2012.jpg)
Psalm 119:137-138 New International Version (NIV) — from biblegateway.com
137 You are righteous, Lord,
and your laws are right.
138 The statutes you have laid down are righteous;
they are fully trustworthy.
Activists urge killer robot ban ‘before it is too late’ — from techxplore.com by Nina Larson
Excerpt:
Countries should quickly agree a treaty banning the use of so-called killer robots “before it is too late”, activists said Monday as talks on the issue resumed at the UN.
They say time is running out before weapons are deployed that use lethal force without a human making the final kill-order and have criticised the UN body hosting the talks—the Convention of Certain Conventional Weapons (CCW)—for moving too slowly.
“Killer robots are no longer the stuff of science fiction,” Rasha Abdul Rahim, Amnesty International’s advisor on artificial intelligence and human rights, said in a statement.
“From artificially intelligent drones to automated guns that can choose their own targets, technological advances in weaponry are far outpacing international law,” she said.
From DSC:
I’ve often considered how much out front many technologies are in our world today. It takes the rest of society some time to catch up with emerging technologies and ask whether we should be implementing technology A, B, or C. Just because we can, doesn’t mean we should. A worn-out statement perhaps, but given the exponential pace of technological change, one that is highly relevant to our world today.
Addendum on 9/8/18:
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:
1 Praise the Lord.
Praise God in his sanctuary;
praise him in his mighty heavens.
2 Praise him for his acts of power;
praise him for his surpassing greatness.
3 Praise him with the sounding of the trumpet,
praise him with the harp and lyre,
4 praise him with timbrel and dancing,
praise him with the strings and pipe,
5 praise him with the clash of cymbals,
praise him with resounding cymbals.
6 Let everything that has breath praise the Lord.
Praise the Lord.
From DSC:
Thank you LORD for the gift of music — I, as well as many others, appreciate this universal, soul-deep language. It often brings people together. That’s one of the reasons I chose the above graphic — the circle represents unity…plus I like the musical notes/flavor of it.
Personally speaking, music can turn my day around. I know something’s off in me when I don’t want to listen to music.
State of AI — from stateof.ai
Excerpt:
In this report, we set out to capture a snapshot of the exponential progress in AI with a focus on developments in the past 12 months. Consider this report as a compilation of the most interesting things we’ve seen that seeks to trigger informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
There’s nothing artificial about how AI is changing the workplace — from forbes.com by Eric Yuan
Excerpt:
As I write this, AI has already begun to make video meetings even better. You no longer have to spend time entering codes or clicking buttons to launch a meeting. Instead, with voice-based AI, video conference users can start, join or end a meeting by simply speaking a command (think about how you interact with Alexa).
Voice-to-text transcription, another artificial intelligence feature offered by Otter Voice Meeting Notes (from AISense, a Zoom partner), Voicefox and others, can take notes during video meetings, leaving you and your team free to concentrate on what’s being said or shown. AI-based voice-to-text transcription can identify each speaker in the meeting and save you time by letting you skim the transcript, search and analyze it for certain meeting segments or words, then jump to those mentions in the script. Over 65% of respondents from the Zoom survey said they think AI will save them at least one hour a week of busy work, with many claiming it will save them one to five hours a week.
AI can now ‘listen’ to machines to tell if they’re breaking down — from by Rebecca Campbell
Excerpt:
Sound is everywhere, even when you can’t hear it.
It is this noiseless sound, though, that says a lot about how machines function.
Helsinki-based Noiseless Acoustics and Amsterdam-based OneWatt are relying on artificial intelligence (AI) to better understand the sound patterns of troubled machines. Through AI they are enabling faster and easier problem detection.
Making sound visible even when it can’t be heard. With the aid of non-invasive sensors, machine learning algorithms, and predictive maintenance solutions, failing components can be recognized at an early stage before they become a major issue.
Chinese university uses facial recognition for campus entry — from cr80news.com by Andrew Hudson
Excerpt:
A number of higher education institutions in China have deployed biometric solutions for access and payments in recent months, and adding to the list is Peking University. The university has now installed facial recognition readers at perimeter access gates to control access to its Beijing campus.
As reported by the South China Morning Post, anyone attempting to enter through the southwestern gate of the university will no longer have to provide a student ID card. Starting this month, students will present their faces to a camera as part of a trial run of the system ahead of full-scale deployment.
From DSC:
I’m not sure I like this one at all — and the direction that this is going in.
Will We Use Big Data to Solve Big Problems? Why Emerging Technology is at a Crossroads — from blog.hubspot.com by Justin Lee
Excerpt:
How can we get smarter about machine learning?
As I said earlier, we’ve reached an important crossroads. Will we use new technologies to improve life for everyone, or to fuel the agendas of powerful people and organizations?
I certainly hope it’s the former. Few of us will run for president or lead a social media empire, but we can all help to move the needle.
Consume information with a critical eye.
Most people won’t stop using Facebook, Google, or social media platforms, so proceed with a healthy dose of skepticism. Remember that the internet can never be objective. Ask questions and come to your own conclusions.
Get your headlines from professional journalists.
Seek credible outlets for news about local, national and world events. I rely on the New York Times and the Wall Street Journal. You can pick your own sources, but don’t trust that the “article” your Aunt Marge just posted on Facebook is legit.
Below are some excerpted slides from her presentation…
Also see:
“Educational content usage online is ramping fast” with over 1 billion daily educational videos watched. There is evidence that use of the Internet for informal and formal learning is taking off.
10 Big Takeaways From Mary Meeker’s Widely-Read Internet Report — from fortune.com by Leena Rao
