Excerpt from Amazon fumbles earnings amidst high expectations (emphasis DSC):

Aside from AWS, Amazon Alexa-enabled devices were the top-selling products across all categories on Amazon.com throughout the holiday season and the company is reporting that Echo family sales are up over 9x compared to last season. Amazon aims to brand Alexa as a platform, something that has helped the product to gain capabilities faster than its competition. Developers and corporates released 4,000 new skills for the voice assistant in just the last quarter.

 

 

 

 

 

Alexa got 4,000 new skills in just the last quarter!

From DSC:
What are the teaching & learning ramifications of this?

By the way, I’m not saying for professors, teachers, & trainers to run for the hills (i.e., that they’ll be replaced by AI-based tools). But rather, I would like to suggest that we not only put this type of thing on our radars, but we should begin to actively experiment with such technologies to see if they might be able to help us do some heavy lifting for students learning about new topics.

 

Per X Media Lab:

The authoritative CB Insights lists imminent Future Tech Trends: customized babies; personalized foods; robotic companions; 3D printed housing; solar roads; ephemeral retail; enhanced workers; lab-engineered luxury; botroots movements; microbe-made chemicals; neuro-prosthetics; instant expertise; AI ghosts. You can download the whole outstanding report here (125 pgs).

 

From DSC:
Though I’m generally pro-technology, there are several items in here which support the need for all members of society to be informed and have some input into if and how these technologies should be used. Prime example: Customized babies.  The report discusses the genetic modification of babies: “In the future, we will choose the traits for our babies.” Veeeeery slippery ground here.

 

Below are some example screenshots:

 

 

 

 

 

 

 

 

 

Also see:

CBInsights — Innovation Summit

  • The New User Interface: The Challenge and Opportunities that Chatbots, Voice Interfaces and Smart Devices Present
  • Fusing the physical, digital and biological: AI’s transformation of healthcare
  • How predictive algorithms and AI will rule financial services
  • Autonomous Everything: How Connected Vehicles Will Change Mobility and Which Companies Will Own this Future
  • The Next Industrial Age: The New Revenue Sources that the Industrial Internet of Things Unlocks
  • The AI-100: 100 Artificial Intelligence Startups That You Better Know
  • Autonomous Everything: How Connected Vehicles Will Change Mobility and Which Companies Will Own this Future

 

 

 

The Periodic Table of AI — from ai.xprize.org by Kris Hammond

Excerpts:

This is an invitation to collaborate.  In particular, it is an invitation to collaborate in framing how we look at and develop machine intelligence. Even more specifically, it is an invitation to collaborate in the construction of a Periodic Table of AI.

Let’s be honest. Thinking about Artificial Intelligence has proven to be difficult for us.  We argue constantly about what is and is not AI.  We certainly cannot agree on how to test for it.  We have difficultly deciding what technologies should be included within it.  And we struggle with how to evaluate it.

Even so, we are looking at a future in which intelligent technologies are becoming commonplace.

With that in mind, we propose an approach to viewing machine intelligence from the perspective of its functional components. Rather than argue about the technologies behind them, the focus should be on the functional elements that make up intelligence.  By stepping away from how these elements are implemented, we can talk about what they are and their roles within larger systems.

 

 

Also see this article, which contains the graphic below:

 

 

 

From DSC:
These graphics are helpful to me, as they increase my understanding of some of the complexities involved within the realm of artificial intelligence.

 

 

 


Also relevant/see:

 

 

 

The 2017 Top 10 IT Issues — a new report from Educause
It’s all about student success.

Excerpt:

Colleges and universities are concentrating on student success to address concerns about the costs, value, and outcomes of higher education. Student success initiatives are making use of every available resource and opportunity and involving every relevant stakeholder. Institutional technology is all three: resource, opportunity, and stakeholder.

The 2017 issues list identifies the four focus areas for higher education information technology:

  • Develop the IT foundations
  • Develop the data foundations
  • Ensure effective leadership
  • Enable successful students

These issues and focus areas are not just about today. Higher education information technology is very clearly building foundations for student success to last into the future.

 

 

 


 

Also see:

Educause Announces Top IT Issues, Trends and Tech Report for 2017 — from campustechnology.com by Dian Schaffhauser

Excerpt:

Expanding on the preview of its annual ranking of IT issues for higher education released last fall, Educause today announced its full report on the key issues, trends and technologies poised to impact higher ed in 2017. The prevailing themes across the board, according to the higher education technology association with a membership of 2,100 colleges, universities and other education organizations: information security, student success and data-informed decision-making.

The top 10 IT issues for 2017, reiterated in today’s report:

  1. Information security;
  2. Student success and completion;
  3. Data-informed decision-making;
  4. Strategic leadership;
  5. Sustainable funding;
  6. Data management and governance;
  7. Higher education affordability;
  8. Sustainable staffing;
  9. Next-generation enterprise IT; and
  10. Digital transformation of learning.

 

 

 

Robots will take jobs, but not as fast as some fear, new report says — from nytimes.com by Steve Lohr

 

Excerpt:

The robots are coming, but the march of automation will displace jobs more gradually than some alarming forecasts suggest.

A measured pace is likely because what is technically possible is only one factor in determining how quickly new technology is adopted, according to a new study by the McKinsey Global Institute. Other crucial ingredients include economics, labor markets, regulations and social attitudes.

The report, which was released Thursday, breaks jobs down by work tasks — more than 2,000 activities across 800 occupations, from stock clerk to company boss. The institute, the research arm of the consulting firm McKinsey & Company, concludes that many tasks can be automated and that most jobs have activities ripe for automation. But the near-term impact, the report says, will be to transform work more than to eliminate jobs.

 

So while further automation is inevitable, McKinsey’s research suggests that it will be a relentless advance rather than an economic tidal wave.

 

 

Harnessing automation for a future that works — from mckinsey.com by James Manyika, Michael Chui, Mehdi Miremadi, Jacques Bughin, Katy George, Paul Willmott, and Martin Dewhurst
Automation is happening, and it will bring substantial benefits to businesses and economies worldwide, but it won’t arrive overnight. A new McKinsey Global Institute report finds realizing automation’s full potential requires people and technology to work hand in hand.

Excerpt:

Recent developments in robotics, artificial intelligence, and machine learning have put us on the cusp of a new automation age. Robots and computers can not only perform a range of routine physical work activities better and more cheaply than humans, but they are also increasingly capable of accomplishing activities that include cognitive capabilities once considered too difficult to automate successfully, such as making tacit judgments, sensing emotion, or even driving. Automation will change the daily work activities of everyone, from miners and landscapers to commercial bankers, fashion designers, welders, and CEOs. But how quickly will these automation technologies become a reality in the workplace? And what will their impact be on employment and productivity in the global economy?

The McKinsey Global Institute has been conducting an ongoing research program on automation technologies and their potential effects. A new MGI report, A future that works: Automation, employment, and productivity, highlights several key findings.

 

 



Also related/see:

This Japanese Company Is Replacing Its Staff With Artificial Intelligence — from fortune.com by Kevin Lui

Excerpt:

The year of AI has well and truly begun, it seems. An insurance company in Japan announced that it will lay off more than 30 employees and replace them with an artificial intelligence system.  The technology will be based on IBM’s Watson Explorer, which is described as having “cognitive technology that can think like a human,” reports the Guardian. Japan’s Fukoku Mutual Life Insurance said the new system will take over from its human counterparts by calculating policy payouts. The company said it hopes the AI will be 30% more productive and aims to see investment costs recouped within two years. Fukoku Mutual Life said it expects the $1.73 million smart system—which costs around $129,000 each year to maintain—to save the company about $1.21 million each year. The 34 staff members will officially be replaced in March.

 


Also from “The Internet of Everything” report in 2016 by BI Intelligence:

 

 


 

A Darker Theme in Obama’s Farewell: Automation Can Divide Us — from nytimes.com by Claire Cain Miller

Excerpt:

Underneath the nostalgia and hope in President Obama’s farewell address Tuesday night was a darker theme: the struggle to help the people on the losing end of technological change.

“The next wave of economic dislocations won’t come from overseas,” Mr. Obama said. “It will come from the relentless pace of automation that makes a lot of good, middle-class jobs obsolete.”


Artificial Intelligence, Automation, and the Economy — from whitehouse.gov by Kristin Lee

Summary:
[On 12/20/16], the White House released a new report on the ways that artificial intelligence will transform our economy over the coming years and decades.

 Although it is difficult to predict these economic effects precisely, the report suggests that policymakers should prepare for five primary economic effects:

    Positive contributions to aggregate productivity growth;
Changes in the skills demanded by the job market, including greater demand for higher-level technical skills;
Uneven distribution of impact, across sectors, wage levels, education levels, job types, and locations;
Churning of the job market as some jobs disappear while others are created; and
The loss of jobs for some workers in the short-run, and possibly longer depending on policy responses.


 

From DSC:
Hmmm…this is interesting! I ran into a company based out of Canada called Sightline Innovation — and they offer Machine Learning as a Service!

 

Here’s an excerpt from their site:

MLaaS: AI for everyone
Sightline’s Machine Learning as a Service (MLaaS) is the AI solution for Enterprise. With MLaaS, you provide the data and the desired outcome, and Sightline provides the Machine Learning capacity. By analyzing data sets, MLaaS generates strategic insights that allow companies to optimize their business processes and maximize efficiency. Discover new approaches to time management, teamwork and collaboration, client service and business forecasting.

Mine troves of inert customer data to reveal sales pipeline bottlenecks, build more in-depth personas and discover opportunities for upsales.
MLaaS empowers Enterprise to capitalize on opportunities that were previously undiscovered. MLaaS.net is the only system that brings together a full spectrum of AI algorithms including:

  • Convolutional Neural Networks
  • Deep Nets
  • Restricted Boltzman Machines
  • Probabilistic Graphical Models; and
  • Bayesian Networks

I wonder if Machine Learning as a Service (MLaaS) is the way that many businesses in the future will tap into the power of AI-based solutions – especially smaller and mid-size companies who can’t afford to build an internal team focused on AI…?

 

 

Six trends that will make business more intelligent in 2017 — from itproportal.com by Daniel Fallmann
The business world is in the midst of a digital transformation that is quickly separating the wheat from the chaff.

 

Also see:

 

 

 

 

 

 

Don’t discount the game-changing power of the morphing “TV” when coupled with AI, NLP, and blockchain-based technologies! [Christian]

From DSC:

Don’t discount the game-changing power of the morphing “TV” when coupled with artificial intelligence (AI), natural language processing (NLP), and blockchain-based technologies!

When I saw the article below, I couldn’t help but wonder what (we currently know of as) “TVs” will morph into and what functionalities they will be able to provide to us in the not-too-distant future…?

For example, the article mentions that Seiki, Westinghouse, and Element will be offering TVs that can not only access Alexa — a personal assistant from Amazon which uses artificial intelligence — but will also be able to provide access to over 7,000 apps and games via the Amazon Fire TV Store.

Some of the questions that come to my mind:

  • Why can’t there be more educationally-related games and apps available on this type of platform?
  • Why can’t the results of the assessments taken on these apps get fed into cloud-based learner profiles that capture one’s lifelong learning? (#blockchain)
  • When will potential employers start asking for access to such web-based learner profiles?
  • Will tvOS and similar operating systems expand to provide blockchain-based technologies as well as the types of functionality we get from our current set of CMSs/LMSs?
  • Will this type of setup become a major outlet for competency-based education as well as for corporate training-related programs?
  • Will augmented reality (AR), virtual reality (VR), and mixed reality (MR) capabilities come with our near future “TVs”?
  • Will virtual tutoring be one of the available apps/channels?
  • Will the microphone and the wide angle, HD camera on the “TV” be able to be disconnected from the Internet for security reasons? (i.e., to be sure no hacker is eavesdropping in on their private lives)

 

Forget a streaming stick: These 4K TVs come with Amazon Fire TV inside — from techradar.com by Nick Pino

Excerpt:

The TVs will not only have access to Alexa via a microphone-equipped remote but, more importantly, will have access to the over 7,000 apps and games available on the Amazon Fire TV Store – a huge boon considering that most of these Smart TVs usually include, at max, a few dozen apps.

 

 

 

 

 

The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

 


Addendums


 

“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,” Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider.

.

  • Once thought to be a fad, MOOCs showed staying power in 2016 — from educationdive.com
    Dive Brief:

    • EdSurge profiles the growth of massive online open courses in 2016, which attracted more than 58 million students in over 700 colleges and universities last year.
    • The top three MOOC providers — Coursera, Udacity and EdX — collectively grossed more than $100 million last year, as much of the content provided on these platforms shifted from free to paywall guarded materials.
    • Many MOOCs have moved to offering credentialing programs or nanodegree offerings to increase their value in industrial marketplaces.
 

Alexa, Tell Me Where You’re Going Next — from backchannel.com by Steven Levy
Amazon’s VP of Alexa talks about machine learning, chatbots, and whether industry is strip-mining AI talent from academia.

Excerpt:

Today Prasad is giving an Alexa “State of the Union” address at the Amazon Web Services conference in Las Vegas, announcing an improved version of the Alexa Skills Kit, which helps developers create the equivalent of apps for the platform; a beefed-up Alexa Voice Service, which will make it easier to transform third-party devices like refrigerators and cars into Alexa bots; a partnership with Intel; and the Alexa Accelerator that, with the startup incubator Techstars, will run a 13-week program to help newcomers build Alexa skills. Prasad and Amazon haven’t revealed sales numbers, but industry experts have estimated that Amazon has sold over five million Echo devices so far.

Prasad, who joined Amazon in 2013, spent some time with Backchannel before his talk today to illuminate the direction of Alexa and discuss how he’s recruiting for Jeff Bezos’s arsenal without drying up the AI pipeline.

 

 

What DeepMind brings to Alphabet — from economist.com
The AI firm’s main value to Alphabet is as a new kind of algorithm factory

Excerpt:

DeepMind’s horizons stretch far beyond talent capture and public attention, however. Demis Hassabis, its CEO and one of its co-founders, describes the company as a new kind of research organisation, combining the long-term outlook of academia with “the energy and focus of a technology startup”—to say nothing of Alphabet’s cash.

Were he to succeed in creating a general-purpose AI, that would obviously be enormously valuable to Alphabet. It would in effect give the firm a digital employee that could be copied over and over again in service of multiple problems. Yet DeepMind’s research agenda is not—or not yet—the same thing as a business model. And its time frames are extremely long.

 

 

Artificial Intelligence: Silicon Valley’s Next Frontier — from toptechnews.com by Ethan Baron

Excerpt:

Silicon Valley needs its next big thing, a focus for the concentrated brain power and innovation infrastructure that have made this region the world leader in transformative technology. Just as the valley’s mobile era is peaking, the next frontier of growth and innovation has arrived: It’s Siri in an Apple iPhone, Alexa in an Amazon Echo, the software brain in Google’s self-driving cars, Amazon’s product recommendations and, someday, maybe the robot surgeon that saves your life.

It’s artificial intelligence, software that can “learn” and “think,” the latest revolution in tech.

“It’s going to be embedded in everything,” said startup guru Steve Blank, an adjunct professor at Stanford. “We’ve been talking about artificial intelligence for 30 years, maybe longer, in Silicon Valley. It’s only in the last five years, or maybe even the last two years, that this stuff has become useful.”

 

 

 

What Is The Difference Between Artificial Intelligence And Machine Learning? — from forbes.com by Bernard Marr

Excerpt:

Artificial Intelligence (AI) and Machine Learning (ML) are two very hot buzzwords right now, and often seem to be used interchangeably. They are not quite the same thing, but the perception that they are can sometimes lead to some confusion. So I thought it would be worth writing a piece to explain the difference.

In short, the best answer is that:
Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”.
And,
Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.

 

 

Why we are still light years away from full artificial intelligence — from techcrunch.com by Clara Lu

Excerpt:

Yet, the truth is, we are far from achieving true AI — something that is as reactive, dynamic, self-improving and powerful as human intelligence.

Full AI, or superintelligence, should possess the full range of human cognitive abilities. This includes self-awareness, sentience and consciousness, as these are all features of human cognition.

 

 

Udacity adds 14 hiring partners as AI, VR and self-driving talent wars heat up — from techcrunch.com by Darrell Etherington

Excerpt:

Udacity is positioned perfectly to benefit from the rush on talent in a number of growing areas of interest among tech companies and startups. The online education platform has added 14 new hiring partners across its Artificial Intelligence Engineer, Self-Driving Car Engineer and Virtual Reality Developer Nanodegree programs, as well as in its Predictive Analytics Nanodegree, including standouts like Bosch, Harma, Slack, Intel, Amazon Alexa and Samsung.

That brings the total number of hiring partners for Udacity to over 30, which means a lot of potential soft landings for graduates of its nanodegree programs. The nanodegree offered by Udacity is its own original form of accreditation, which is based on a truncated field of study that spans months, rather than years, and allows students to direct the pace of their own learning. It also all takes place online, so students can potentially learn from anywhere.

 

 

 

 

The Ethics of Artificial Intelligence – from livestream.com

 

 

 

 

The Great A.I. Awakening — from nytimes.com by Gideo Lewis-Kraus
How Google used artificial intelligence to transform Google Translate, one of its more popular services — and how machine learning is poised to reinvent computing itself.

Excerpt:

Google’s decision to reorganize itself around A.I. was the first major manifestation of what has become an industrywide machine-learning delirium. Over the past four years, six companies in particular — Google, Facebook, Apple, Amazon, Microsoft and the Chinese firm Baidu — have touched off an arms race for A.I. talent, particularly within universities. Corporate promises of resources and freedom have thinned out top academic departments. It has become widely known in Silicon Valley that Mark Zuckerberg, chief executive of Facebook, personally oversees, with phone calls and video-chat blandishments, his company’s overtures to the most desirable graduate students. Starting salaries of seven figures are not unheard-of. Attendance at the field’s most important academic conference has nearly quadrupled. What is at stake is not just one more piecemeal innovation but control over what very well could represent an entirely new computational platform: pervasive, ambient artificial intelligence.

 

 

 

Microsoft bets on AI — from businessinsider.com

Excerpt:

On [December 12th, 2016], Microsoft announced a new Microsoft Ventures fund dedicated to artificial intelligence (AI) investments, according to TechCrunch. The fund, part of the company’s investment arm that launched in May, will back startups developing AI technology and includes Element AI, a Montreal-based incubator that helps other companies embrace AI. The fund further supports Microsoft’s focus on AI. The company has been steadily announcing major initiatives in support of the technology. For example, in September, it announced a major restructuring and formed a new group dedicated to AI products. And in mid-November, it partnered with OpenAI, an AI research nonprofit backed by Elon Musk, to further its AI research and development efforts.

 

 

The Growth of Artificial Intelligence in E-commerce — from redstagfulfillment.com by Jake Rheude

Excerpt:

Whether Artificial Intelligence (AI) is something you’ve just come across or it’s something you’ve been monitoring for a while, there’s no denying that it’s starting to influence many industries. And one place that it’s really starting to change things is e-commerce. Below you’ll find some interesting stats and facts about how AI is growing in e-commerce and how it’s changing the way we do things. From personalizing the shopping experience for customers to creating personal buying assistants, AI is something retailers can’t ignore. We’ll also take a look at some examples of how leading online stores have used AI to enrich the customer buying experience.

 

 

Will AI built by a ‘sea of dudes’ understand women? AI’s inclusivity problem — from digitaltrends.com by Dyllan Furness

Excerpt:

Only 26 percent of computer professionals were women in 2013, according to a recent review by the American Association of University Women. That figure has dropped 9 percent since 1990.

Explanations abound. Some say the industry is masculine by design. Others claim computer culture is unwelcoming — even hostile — to women. So, while STEM fields like biology, chemistry, and engineering see an increase in diversity, computing does not. Regardless, it’s a serious problem.

Artificial intelligence is still in its infancy, but it’s poised to become the most disruptive technology since the Internet. AI will be everywhere — in your phone, in your fridge, in your Ford. Intelligent algorithms already track your online activity, find your face in Facebook photos, and help you with your finances. Within the next few decades they’ll completely control your car and monitor your heart health. An AI may one day even be your favorite artist.

The programs written today will inform the systems built tomorrow. And if designers all have one worldview, we can expect equally narrow-minded machines.

 

 

 

 

Wall Street Jobs Won’t Be Spared from Automation — from hbr.stfi.re by Thomas H. Davenport

Excerpt:

Some conference participants were concerned that this beleaguered region might grow. In fact, one attendee — an old friend who strategizes about technology for a big New York bank — commented that perhaps Wall Street would become “the new Rust Belt.” His concern was that automation of the finance industry would hollow out jobs in that field in the same way that robotics and other technologies have reduced manufacturing employment.

This is a sobering prospect, but there is plenty of evidence that it’s a real possibility. Key aspects of the finance industry have already been automated to a substantial degree. Jobs in the New York finance field have been declining for several years. According to data from research firm Coalition Ltd., more than 10,000 “front-office producer” jobs have been lost within the top 10 banks since 2011. Coalition also suggests that global fixed-income headcount has fallen 31% since 2011.

 

 

Predictions for 2017: How Will the Digital World of Work Transform HR? — from hrdailyadvisor.blr.com

Excerpt:

According to a new report, organizations are moving away from hierarchies, focusing on improving the employee experience, redesigning training, and reinventing the role of HR.

Business and HR leaders should rethink almost all of their management and HR practices as the proliferation of digital technologies transform the way organizations work, according to predictions for 2017 from Bersin by Deloitte, Deloitte Consulting LLP.

This year’s report includes 11 predictions about rapid technological, structural, and cultural changes that will reshape the world of work, including management, HR, and the markets for HR and workplace technology.

 

 

Artificial intelligence has a big year ahead — from cnet.com by Stepehn Shankland
In 2017, AI won’t just be for the nerdy companies. Machine learning can help with mortgage applications and bridge safety, too.

Excerpt:

Get ready for AI to show up where you’d least expect it.

In 2016, tech companies like Google, Facebook, Apple and Microsoft launched dozens of products and services powered by artificial intelligence. Next year will be all about the rest of the business world embracing AI.

Artificial intelligence is a 60-year-old term, and its promise has long seemed like it was forever over the horizon. But new hardware, software, services and expertise means it’s finally real — even though companies will still need plenty of human brain power to get it working.

 

 

AI was one of the hottest trends in tech this year, and it’s only poised to get bigger. You’ve already brushed up against AI: It screens out spam, organizes your digital photos and transcribes your spoken text messages. In 2017, it will spread beyond digital doodads to mainstream businesses.

 

 

 

2017 Design Trends: Predictions from Top Creatives — howdesign.com by Callie Budrick

Excerpt:

The design world has seen its own changes and updates as well. And as we know, change is the only constant. We’ve asked some of the top creatives to share what 2017 design trends they think will be headed our way.

 

 

MapR Executive Chairman and Founder John Schroeder Identifies 6 Big Data Predictions for 2017 — from businesswire.com

Excerpt:

SAN JOSE, Calif.–(BUSINESS WIRE)–The market has evolved from technologists looking to learn and understand new big data technologies to customers who want to learn about new projects, new companies and most importantly, how organizations are actually benefitting from the technology. According to John Schroeder, executive chairman and founder of MapR Technologies, Inc., the acceleration in big data deployments has shifted the focus to the value of the data. John has crystallized his view of market trends into these six major predictions for 2017…

 

 

The Most Exciting Medical Technologies of 2017 — from medicalfuturist.com

Excerpt:

2016 was a rich year for medical technology. Virtual Reality. Augmented Reality. Smart algorithms analysing wearable data. Amazing technologies arrived in our lives and on the market almost every day. And it will not stop in the coming year. The role of a futurist is certainly not making bold predictions about the future. No such big bet has taken humanity forward. Instead, our job is constantly analysing the trends shaping the future and trying to build bridges between them and what we have today. Still, people expect me to come up with predictions about medical technologies every year, and thus here they are.

 

 

2017 Predictions For AI, Big Data, IoT, Cybersecurity, And Jobs From Senior Tech Executives — from forbes.com by Gil Press

Excerpt:

Artificial intelligence (and machine/deep learning) is the hottest trend, eclipsing, but building on, the accumulated hype for the previous “new big thing,” big data. The new catalyst for the data explosion is the Internet of Things, bringing with it new cybersecurity vulnerabilities. The rapid fluctuations in the relative temperature of these trends also create new dislocations and opportunities in the tech job market.

The hottest segment of the hottest trend—artificial intelligence—is the market for chatbots. “The movement towards conversational interfaces will accelerate,” says Stuart Frankel, CEO, Narrative Science. “The recent, combined efforts of a number of innovative tech giants point to a coming year when interacting with technology through conversation becomes the norm. Are conversational interfaces really a big deal? They’re game-changing. Since the advent of computers, we have been forced to speak the language of computers in order to communicate with them and now we’re teaching them to communicate in our language.”

 

 

Allen Institute for AI Eyes the Future of Scientific Search — from wired.com by Cade Metz

Excerpt:

Google changed the world with its PageRank algorithm, creating a new kind of internet search engine that could instantly sift through the world’s online information and, in many cases, show us just what we wanted to see. But that was a long time ago. As the volume of online documents continues to increase, we need still newer ways of finding what we want.

That’s why Google is now running its search engine with help from machine learning, augmenting its predetermined search rules with deep neural networks that can learn to identify the best search results by analyzing vast amounts of existing search data. And it’s not just Google. Microsoft is pushing its Bing search engine in the same direction, and so are others beyond the biggest names in tech.

 

 

3 Forces Shaping Ed Tech in 2017 — from campustechnology.com by Dian Schaffhauser
Ovum’s latest report examines the key trends that are expected to impact higher education in the new year.

Excerpts:

  1. Institutions Will Support the Use of More Innovative Tech in Teaching and Learning
  2. Schools Will Leverage Technology for Improving the Student Experience
  3. The Next-Generation IT Strategy Will Focus More on IT Agility

 

 

Virtual Reality, AI Top Predictions for 2017 — from techzone360.com by Alicia Young

Excerpt:

We’ve seen a lot of exciting new innovations take place over the course of 2016. This year has introduced interesting new uses for virtual reality—like using VR to help burn victims in hospitals mentally escape from the pain during procedures—and even saw the world’s first revolutionary augmented reality game in the form of Pokémon Go. The iPhone 7 was also introduced, leaving millions of people uncertain of their feelings regarding Apple, while Samsung loyalists just prayed that their smartphones would stay in one piece.

Undoubtedly, there have been quite a few ups and downs in technology over the past year. With any luck, 2017 will provide us with even more new innovations and advancements in tech. But what exactly do we have to look forward to? TMC recently caught up with Jordan Edelson, CEO of Appetizer Mobile, to discuss his thoughts on 2016 and his predictions for what’s to come in the future. You can find the entire exchange below.

 

 

 

The Fourth Transformation: Augmented Reality & Artificial Intelligence — from forbes.com by John Koetsier

Excerpt:

Since then, we’ve seen three transformations. The latest, augmented reality plus artificial intelligence, will change more than the previous three combined.  At least, that’s what tech evangelist Robert Scoble and author Shel Israel say in their new book: The Fourth Transformation: How Augmented Reality & Artificial Intelligence Will Change Everything.

 

 

 

15 Virtual Reality Trends We’re Predicting for 2017 — from appreal-vr.com by Yariv Levski

 

Excerpt:

2016 is fast drawing to a close. And while many will be glad to see the back of it, for those of us who work and play with Virtual Reality, it has been a most exciting year. By the time the bells ring out signalling the start of a new year, the total number of VR users will exceed 43 million. This is a market on the move, projected to be worth $30bn by 2020. If it’s to meet that valuation, then we believe 2017 will be an incredibly important year in the lifecycle of VR hardware and software development. VR will be enjoyed by an increasingly mainstream audience very soon, and here we take a quick look at some of the trends we expect to develop over the next 12 months for that to happen.

 

 

Our Tech Predictions for 2017 — from medium.com

Excerpts:

Every December, we take a look back at big ideas from the past twelve months that promise to gain momentum in the new year. With more than eleven thousand projects launched between our Design and Tech categories in 2016, we have a nice sample to draw from. More importantly, we have a community of forward-thinking backers who help creators figure out which versions of the future to pursue. Here are some of the emerging trends we expect to see more of in 2017.

Everyday artificial intelligence
Whether chatting with a device as if it’s a virtual assistant strikes you as a sci-fi dream come true or a dystopian nightmare, we’re going to see an increasing number of products that use voice-controlled artificial intelligence interfaces to fit into users’ lives more seamlessly. Among the projects leading the way in this arena are Vi, wireless earphones that double as a personal trainer; Bonjour, an alarm clock that wakes you up with a personalized daily briefing; and Dashbot, a talking car accessory that recalls Kit, David Hasselhoff’s buddy from Knight Rider. One of the factors driving this talking AI boom is the emergence of platforms like Microsoft’s Cognitive Service, Amazon’s Alexa, and Google’s Speech API, which allow product developers to focus on user experience rather than low-level speech processing. For the DIY set, Seeed’s ReSpeaker offers a turnkey devkit for working with these services, and we’ll surely see more tools for integrating AI voice interfaces into all manner of products.

 

 

3 reasons 2017 is the year to develop a company chatbot — from thenextweb.com by Ellie Martin

Excerpt:

During Microsoft’s Build Conference earlier this year, CEO Satya Nadella delivered the three-hour keynote address, in which he highlighted his belief that the future of technology lies in human language. In this new wave of technology, conversation is the new interface, and “bots are the new apps.” While not as flashy as virtual reality nor as immediately practical as 3D printing, chatbots are nevertheless gaining major traction this year, with support coming from across the entire tech industry. The big tech enterprises are all entering the chatbot space, and many startups are too.

 

Out with the apps, in with the chatbots. The reason for the attention is simple: The power of the natural language processor, software that processes and parses human language, creating a simple and universal means of interacting with technology.

 

 

 

When kids toys come to life: How AR is transforming play — from thememo.com by Kitty Knowles
We asked three entrepreneurs to explain why AR toys are going to be the next big trend.

 

 

 

 

 

By 2030, this is what computers will be able to do — from medium.com by the World Economic Forum

Excerpt:

Developments in computing are driving the transformation of entire systems of production, management, and governance. In this interview Justine Cassell, Associate Dean, Technology, Strategy and Impact, at the School of Computer Science, Carnegie Mellon University, and co-chair of the Global Future Council on Computing, says we must ensure that these developments benefit all society, not just the wealthy or those participating in the “new economy”.

 

 

 

 

 

Artificial Intelligence will drive innovation and development in 2017, says Ericsson — from tech.firstpost.com

Excerpt:

Artificial Intelligence (AI) is an important development and consumers globally will see it playing a much more prominent role — both in society and at work — next year, a new report said on Tuesday. Ericsson ConsumerLab, in its annual trend report titled “The 10 Hot Consumer Trends for 2017 and beyond”, said that 35 percent of advanced internet users want an AI advisor at work and one in four would like AI as their manager.At the same time, almost half of the respondents were concerned that AI robots will soon make a lot of people lose their jobs.

 

 

21 technology tipping points we will reach by 2030 — from businessinsider.com by Cadie Thompson

Excerpt:

From driverless cars to robotic workers, the future is going to be here before you know it. Many emerging technologies you hear about today will reach a tipping point by 2025, according to a report from The World Economic Forum’s Global Agenda Council on the Future of Software & Society. The council surveyed more than 800 executives and experts from the technology sector to share their respective timelines for when technologies would become mainstream. From the survey results, the council identified 21 defining moments, all of which they predict will occur by 2030. Here’s a look at the technological shifts you can expect during the next 14 years.

The first robotic pharmacist will arrive in the US 2021.

 

 

 

 

 

 

 

The Chatbot Revolution: Rise of the Conversational User Interface — from tech.economictimes.indiatimes.com by Aakrit Vaish

Excerpt:

At Haptik, we have now been working on chatbots for over 3 years, and this post will attempt to make some sense of where we are as an industry.

 

 

AI, VR, Chatbots to Take Off in 2017 Microsoft Researchers Predict — from eweek.com by Pedro Hernandez
Prominent Microsoft researchers share their tech predictions for an AI-enabled future that blurs the line between physical and virtual experiences.

Excerpt:

A new year is quickly approaching and Microsoft Research is offering a glimpse at what the tech scene has in store for 2017 along with some hints at the Redmond, Wash., tech giant’s own priorities for the coming year. This year, the company gathered prominent women researchers to share their thoughts on what to expect next year. Surprising nobody’s who’s been following Microsoft’s software and cloud computing strategy of late, the company is betting big on artificial intelligence (AI).

 

 

11 IoT Predictions for 2017 — from ioti.com by Brian Buntz

Excerpt:

It’s still early days for the Internet of Things. As recently as 2014, 87 percent of consumers had never heard of the technology, according to Accenture. In 2016, and 19% of business and government professionals reported that they had never heard of the Internet of Things while 18% were only vaguely familiar with it, according to research from the Internet of Things Institute. Although the technology is getting the most traction in the industrial space, the most promising use cases for the technology are just starting to come to light. To get a sense of what to expect as we head into 2017, we spoke with Stanford lecturer and IoT author Timothy Chou, Ph.D.; Thulium.co CEO Tamara McCleary; industry observer and influencer Evan Kirstel; and Sandy Carter, CEO and founder of Silicon-Blitz.

 

 

 

 


Addendums:


 

 

 

Artificial Intelligence Ethics, Jobs & Trust – UK Government Sets Out AI future — from cbronline.com by Ellie Burns

Excerpt:

UK government is driving the artificial intelligence agenda, pinpointing it as a future technology driving the fourth revolution and billing its importance on par with the steam engine.

The report on Artificial Intelligence by the Government Office for Science follows the recent House of Commons Committee report on Robotics and AI, setting out the opportunities and implications for the future of decision making. In a report which spans government deployment, ethics and the labour market, Digital Minister Matt Hancock provided a foreword which pushed AI as a technology which would benefit the economy and UK citizens.

 

 

 

 

MIT’s “Moral Machine” Lets You Decide Who Lives & Dies in Self-Driving Car Crashes — from futurism.com

In brief:

  • MIT’S 13-point exercise lets users weigh the life-and-death decisions that self-driving cars could face in the future.
  • Projects like the “Moral Machine” give engineers insight into how they should code complex decision-making capabilities into AI.

 

 

Wearable Tech Weaves Its Way Into Learning — from edsurge.com by Marguerite McNeal

Excerpt:

“Ethics often falls behind the technology,” says Voithofer of Ohio State. Personal data becomes more abstract when it’s combined with other datasets or reused for multiple purposes, he adds. Say a device collects and anonymizes data about a student’s emotional patterns. Later on that information might be combined with information about her test scores and could be reassociated with her. Some students might object to colleges making judgments about their academic performance from indirect measurements of their emotional states.

 

 

New era of ‘cut and paste’ humans close as man injected with genetically-edited blood – from telegraph.co.uk by Sarah Knapton

Excerpt:

A world where DNA can be rewritten to fix deadly diseases has moved a step closer after scientists announced they had genetically-edited the cells of a human for the first time using a groundbreaking technique.

A man in China was injected with modified immune cells which had been engineered to fight his lung cancer. Larger trials are scheduled to take place next year in the US and Beijing, which scientists say could open up a new era of genetic medicine.

The technique used is called Crispr, which works like tiny molecular scissors snipping away genetic code and replacing it with new instructions to build better cells.

 

 

 

Troubling Study Says Artificial Intelligence Can Predict Who Will Be Criminals Based on Facial Features — from theintercept.com by Sam Biddle

 

 

 

Artificial intelligence is quickly becoming as biased as we are — from thenextweb.com by Bryan Clark

 

 

 

A bug in the matrix: virtual reality will change our lives. But will it also harm us? — from theguardian.stfi.re
Prejudice, harassment and hate speech have crept from the real world into the digital realm. For virtual reality to succeed, it will have to tackle this from the start

Excerpt:

Can you be sexually assaulted in virtual reality? And can anything be done to prevent it? Those are a few of the most pressing ethical questions technologists, investors and we the public will face as VR grows.

 

 

 

Light Bulbs Flash “SOS” in Scary Internet of Things Attack — from fortune.com by Jeff John Roberts

 

 

 

How Big Data Transformed Applying to College — from slate.com by Cathy O’Neil
It’s made it tougher, crueler, and ever more expensive.

 

 

Not OK, Google — from techcrunch.com by Natasha Lomas

Excerpts (emphasis DSC):

The scope of Alphabet’s ambition for the Google brand is clear: It wants Google’s information organizing brain to be embedded right at the domestic center — i.e. where it’s all but impossible for consumers not to feed it with a steady stream of highly personal data. (Sure, there’s a mute button on the Google Home, but the fact you have to push a button to shut off the ear speaks volumes… )

In other words, your daily business is Google’s business.

“We’re moving from a mobile-first world to an AI-first world,” said CEO Sundar Pichai…

But what’s really not OK, Google is the seismic privacy trade-offs involved here. And the way in which Alphabet works to skate over the surface of these concerns.

 

What he does not say is far more interesting, i.e. that in order to offer its promise of “custom convenience” — with predictions about restaurants you might like to eat at, say, or suggestions for how bad the traffic might be on your commute to work — it is continuously harvesting and data-mining your personal information, preferences, predilections, peccadilloes, prejudices…  and so on and on and on. AI never stops needing data. Not where fickle humans are concerned. 

 

 

Welcome to a world without work — from by Automation and globalisation are combining to generate a world with a surfeit of labour and too little work

Excerpt:

A new age is dawning. Whether it is a wonderful one or a terrible one remains to be seen. Look around and the signs of dizzying technological progress are difficult to miss. Driverless cars and drones, not long ago the stuff of science fiction, are now oddities that can occasionally be spotted in the wild and which will soon be a commonplace in cities around the world.

 

From DSC:
I don’t see a world without work being good for us in the least. I think we humans need to feel that we are contributing to something. We need a purpose for living out our days here on Earth (even though they are but a vapor).  We need vision…goals to works towards as we seek to use the gifts, abilities, passions, and interests that the LORD gave to us.  The author of the above article would also add that work:

  • Is a source of personal identity
  • It helps give structure to our days and our lives
  • It offers the possibility of personal fulfillment that comes from being of use to others
  • Is a critical part of the glue that holds society together and smooths its operation

 

Over the last generation, work has become ever less effective at performing these roles. That, in turn, has placed pressure on government services and budgets, contributing to a more poisonous and less generous politics. Meanwhile, the march of technological progress continues, adding to the strain.

 

 

10 breakthrough technologies for 2016 — from technologyreview.com

Excerpts:

Immune Engineering
Genetically engineered immune cells are saving the lives of cancer patients. That may be just the start.

Precise Gene Editing in Plants
CRISPR offers an easy, exact way to alter genes to create traits such as disease resistance and drought tolerance.

Conversational Interfaces
Powerful speech technology from China’s leading Internet company makes it much easier to use a smartphone.

Reusable Rockets
Rockets typically are destroyed on their maiden voyage. But now they can make an upright landing and be refueled for another trip, setting the stage for a new era in spaceflight.

Robots That Teach Each Other
What if robots could figure out more things on their own and share that knowledge among themselves?

DNA App Store
An online store for information about your genes will make it cheap and easy to learn more about your health risks and predispositions.

SolarCity’s Gigafactory
A $750 million solar facility in Buffalo will produce a gigawatt of high-efficiency solar panels per year and make the technology far more attractive to homeowners.

Slack
A service built for the era of mobile phones and short text messages is changing the workplace.

Tesla Autopilot
The electric-vehicle maker sent its cars a software update that suddenly made autonomous driving a reality.

Power from the Air
Internet devices powered by Wi-Fi and other telecommunications signals will make small computers and sensors more pervasive

 

 

The 4 big ethical questions of the Fourth Industrial Revolution — from 3tags.org by the World Economic Forum

Excerpts:

We live in an age of transformative scientific powers, capable of changing the very nature of the human species and radically remaking the planet itself.

Advances in information technologies and artificial intelligence are combining with advances in the biological sciences; including genetics, reproductive technologies, neuroscience, synthetic biology; as well as advances in the physical sciences to create breathtaking synergies — now recognized as the Fourth Industrial Revolution.

Since these technologies will ultimately decide so much of our future, it is deeply irresponsible not to consider together whether and how to deploy them. Thankfully there is growing global recognition of the need for governance.

 

 

Scientists create live animals from artificial eggs in ‘remarkable’ breakthrough — from telegraph.co.uk by Sarah Knapton

 

 

 

Robot babies from Japan raise questions about how parents bond with AI — from singularityhub.com by Mark Robert Anderson

Excerpt:

This then leads to the ethical implications of using robots. Embracing a number of areas of research, robot ethics considers whether the use of a device within a particular field is acceptable and also whether the device itself is behaving ethically. When it comes to robot babies there are already a number of issues that are apparent. Should “parents” be allowed to choose the features of their robot, for example? How might parents be counseled when returning their robot baby? And will that baby be used again in the same form?

 

 

 

 

 

 

 

 

Amazon’s Vision of the Future Involves Cops Commanding Tiny Drone ‘Assistants’ — from gizmodo.com by Hudson Hongo

 

 

 

DARPA’s Autonomous Ship Is Patrolling the Seas with a Parasailing Radar — from technologyreview.com by Jamie Condliffe
Forget self-driving cars—this is the robotic technology that the military wants to use.

 

 

 

China’s policing robot: Cattle prod meets supercomputer — from computerworld.com by Patrick Thibodeau
China’s fastest supercomputers have some clear goals, namely development of its artificial intelligence, robotics industries and military capability, says the U.S.

 

 

Report examines China’s expansion into unmanned industrial, service, and military robotics systems

 

 

 

Augmented Reality Glasses Are Coming To The Battlefield — from popsci.com by Andrew Rosenblum
Marines will control a head-up display with a gun-mounted mouse

 

 

———-

Addendum on 12/2/16:

Regulation of the Internet of Things — from schneier.com by Bruce Schneier

Excerpt:

Late last month, popular websites like Twitter, Pinterest, Reddit and PayPal went down for most of a day. The distributed denial-of-service attack that caused the outages, and the vulnerabilities that made the attack possible, was as much a failure of market and policy as it was of technology. If we want to secure our increasingly computerized and connected world, we need more government involvement in the security of the “Internet of Things” and increased regulation of what are now critical and life-threatening technologies. It’s no longer a question of if, it’s a question of when.

An additional market failure illustrated by the Dyn attack is that neither the seller nor the buyer of those devices cares about fixing the vulnerability. The owners of those devices don’t care. They wanted a webcam —­ or thermostat, or refrigerator ­— with nice features at a good price. Even after they were recruited into this botnet, they still work fine ­— you can’t even tell they were used in the attack. The sellers of those devices don’t care: They’ve already moved on to selling newer and better models. There is no market solution because the insecurity primarily affects other people. It’s a form of invisible pollution.

 

 

 

Explosive IoT growth could produce skills shortage — from rtinsights.com by Joe McKendrick

Excerpts:

CIO’s Sharon Florentine took a look at data from global freelance marketplace Upwork, based on annual job posting growth and skills demand. The following are leading IoT skills Florentine identified that will be demand as the IoT proliferates, with level the growth seen over a one-year period:

Circuit design (231% growth): Builds miniaturized circuit boards for sensors and devices.

Microcontroller programming (225% growth): Writes code that provides intelligence to microcontrollers, the embedded chips within IoT devices.

AutoCAD (216% growth): Designs the devices.

Machine learning (199% growth): Writes the algorithms that recognize data patterns within devices.

Security infrastructure (194% growth): Identifies and integrates the standards, protocols and technologies that protect devices, as well as the data inside.

Big data (183% growth): Data scientists and engineers “who can collect, organize, analyze and architect disparate sources of data.” Hadoop and Apache Spark are two areas with particularly strong demand.

 

Some brief reflections from DSC:

will likely be used by colleges, universities, bootcamps, MOOCs, and others to feed web-based learner profiles, which will then be queried by people and/or organizations who are looking for freelancers and/or employees to fill their project and/or job-related needs.

As of the end of 2016, Microsoft — with their purchase of LinkedIn — is strongly positioned as being a major player in this new landscape. But it might turn out to be an open-sourced solution/database.

Data mining, algorithm development, and Artificial Intelligence (AI) will likely have roles to play here as well. The systems will likely be able to tell us where we need to grow our skillsets, and provide us with modules/courses to take. This is where the Learning from the Living [Class] Room vision becomes highly relevant, on a global scale. We will be forced to continually improve our skillsets as long as we are in the workforce. Lifelong learning is now a must. AI-based recommendation engines should be helpful here — as they will be able to analyze the needs, trends, developments, etc. and present us with some possible choices (based on our learner profiles, interests, and passions).

 

 

An open letter to Microsoft and Google’s Partnership on AI — from wired.com by Gerd Leonhard
In a world where machines may have an IQ of 50,000, what will happen to the values and ethics that underpin privacy and free will?

Excerpt:

Dear Francesca, Eric, Mustafa, Yann, Ralf, Demis and others at IBM, Microsoft, Google, Facebook and Amazon.

The Partnership on AI to benefit people and society is a welcome change from the usual celebration of disruption and magic technological progress. I hope it will also usher in a more holistic discussion about the global ethics of the digital age. Your announcement also coincides with the launch of my book Technology vs. Humanity which dramatises this very same question: How will technology stay beneficial to society?

This open letter is my modest contribution to the unfolding of this new partnership. Data is the new oil – which now makes your companies the most powerful entities on the globe, way beyond oil companies and banks. The rise of ‘AI everywhere’ is certain to only accelerate this trend. Yet unlike the giants of the fossil-fuel era, there is little oversight on what exactly you can and will do with this new data-oil, and what rules you’ll need to follow once you have built that AI-in-the-sky. There appears to be very little public stewardship, while accepting responsibility for the consequences of your inventions is rather slow in surfacing.

 

From DSC:
We are hopefully creating the future that we want — i.e., creating the future of our dreams, not nightmares.  The 14 items below show that technology is often waaay out ahead of us…and it takes time for other areas of society to catch up (such as areas that involve making policies, laws, and/or if we should even be doing these things in the first place). 

Such reflections always make me ask:

  • Who should be involved in some of these decisions?
  • Who is currently getting asked to the decision-making tables for such discussions?
  • How does the average citizen participate in such discussions?

Readers of this blog know that I’m generally pro-technology. But with the exponential pace of technological change, we need to slow things down enough to make wise decisions.

 


 

Google AI invents its own cryptographic algorithm; no one knows how it works — from arstechnica.co.uk by Sebastian Anthony
Neural networks seem good at devising crypto methods; less good at codebreaking.

Excerpt:

Google Brain has created two artificial intelligences that evolved their own cryptographic algorithm to protect their messages from a third AI, which was trying to evolve its own method to crack the AI-generated crypto. The study was a success: the first two AIs learnt how to communicate securely from scratch.

 

 

IoT growing faster than the ability to defend it — from scientificamerican.com by Larry Greenemeier
Last week’s use of connected gadgets to attack the Web is a wake-up call for the Internet of Things, which will get a whole lot bigger this holiday season

Excerpt:

With this year’s approaching holiday gift season the rapidly growing “Internet of Things” or IoT—which was exploited to help shut down parts of the Web this past Friday—is about to get a lot bigger, and fast. Christmas and Hanukkah wish lists are sure to be filled with smartwatches, fitness trackers, home-monitoring cameras and other wi-fi–connected gadgets that connect to the internet to upload photos, videos and workout details to the cloud. Unfortunately these devices are also vulnerable to viruses and other malicious software (malware) that can be used to turn them into virtual weapons without their owners’ consent or knowledge.

Last week’s distributed denial of service (DDoS) attacks—in which tens of millions of hacked devices were exploited to jam and take down internet computer servers—is an ominous sign for the Internet of Things. A DDoS is a cyber attack in which large numbers of devices are programmed to request access to the same Web site at the same time, creating data traffic bottlenecks that cut off access to the site. In this case the still-unknown attackers used malware known as “Mirai” to hack into devices whose passwords they could guess, because the owners either could not or did not change the devices’ default passwords.

 

 

How to Get Lost in Augmented Reality — from inverse.com by Tanya Basu; with thanks to Woontack Woo for this resource
There are no laws against projecting misinformation. That’s good news for pranksters, criminals, and advertisers.

Excerpt:

Augmented reality offers designers and engineers new tools and artists and new palette, but there’s a dark side to reality-plus. Because A.R. technologies will eventually allow individuals to add flourishes to the environments of others, they will also facilitate the creation of a new type of misinformation and unwanted interactions. There will be advertising (there is always advertising) and there will also be lies perpetrated with optical trickery.

Two computer scientists-turned-ethicists are seriously considering the problematic ramifications of a technology that allows for real-world pop-ups: Keith Miller at the University of Missouri-St. Louis and Bo Brinkman at Miami University in Ohio. Both men are dismissive of Pokémon Go because smartphones are actually behind the times when it comes to A.R.

A very important question is who controls these augmentations,” Miller says. “It’s a huge responsibility to take over someone’s world — you could manipulate people. You could nudge them.”

 

 

Can we build AI without losing control over it? — from ted.com by Sam Harris

Description:

Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris — and not just in some theoretical way. We’re going to build superhuman machines, says Harris, but we haven’t yet grappled with the problems associated with creating something that may treat us the way we treat ants.

 

 

Do no harm, don’t discriminate: official guidance issued on robot ethics — from theguardian.com
Robot deception, addiction and possibility of AIs exceeding their remits noted as hazards that manufacturers should consider

Excerpt:

Isaac Asimov gave us the basic rules of good robot behaviour: don’t harm humans, obey orders and protect yourself. Now the British Standards Institute has issued a more official version aimed at helping designers create ethically sound robots.

The document, BS8611 Robots and robotic devices, is written in the dry language of a health and safety manual, but the undesirable scenarios it highlights could be taken directly from fiction. Robot deception, robot addiction and the possibility of self-learning systems exceeding their remits are all noted as hazards that manufacturers should consider.

 

 

World’s first baby born with new “3 parent” technique — from newscientist.com by Jessica Hamzelou

Excerpt:

It’s a boy! A five-month-old boy is the first baby to be born using a new technique that incorporates DNA from three people, New Scientist can reveal. “This is great news and a huge deal,” says Dusko Ilic at King’s College London, who wasn’t involved in the work. “It’s revolutionary.”

The controversial technique, which allows parents with rare genetic mutations to have healthy babies, has only been legally approved in the UK. But the birth of the child, whose Jordanian parents were treated by a US-based team in Mexico, should fast-forward progress around the world, say embryologists.

 

 

Scientists Grow Full-Sized, Beating Human Hearts From Stem Cells — from popsci.com by Alexandra Ossola
It’s the closest we’ve come to growing transplantable hearts in the lab

Excerpt:

Of the 4,000 Americans waiting for heart transplants, only 2,500 will receive new hearts in the next year. Even for those lucky enough to get a transplant, the biggest risk is the their bodies will reject the new heart and launch a massive immune reaction against the foreign cells. To combat the problems of organ shortage and decrease the chance that a patient’s body will reject it, researchers have been working to create synthetic organs from patients’ own cells. Now a team of scientists from Massachusetts General Hospital and Harvard Medical School has gotten one step closer, using adult skin cells to regenerate functional human heart tissue, according to a study published recently in the journal Circulation Research.

 

 

 

Achieving trust through data ethics — from sloanreview.mit.edu
Success in the digital age requires a new kind of diligence in how companies gather and use data.

Excerpt:

A few months ago, Danish researchers used data-scraping software to collect the personal information of nearly 70,000 users of a major online dating site as part of a study they were conducting. The researchers then published their results on an open scientific forum. Their report included the usernames, political leanings, drug usage, and other intimate details of each account.

A firestorm ensued. Although the data gathered and subsequently released was already publicly available, many questioned whether collecting, bundling, and broadcasting the data crossed serious ethical and legal boundaries.

In today’s digital age, data is the primary form of currency. Simply put: Data equals information equals insights equals power.

Technology is advancing at an unprecedented rate — along with data creation and collection. But where should the line be drawn? Where do basic principles come into play to consider the potential harm from data’s use?

 

 

“Data Science Ethics” course — from the University of Michigan on edX.org
Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making.

About this course
As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right away, without appreciating the possible consequences of their work.

This course focused on ethics specifically related to data science will provide you with the framework to analyze these concerns. This framework is based on ethics, which are shared values that help differentiate right from wrong. Ethics are not law, but they are usually the basis for laws.

Everyone, including data scientists, will benefit from this course. No previous knowledge is needed.

 

 

 

Science, Technology, and the Future of Warfare — from mwi.usma.edu by Margaret Kosal

Excerpt:

We know that emerging innovations within cutting-edge science and technology (S&T) areas carry the potential to revolutionize governmental structures, economies, and life as we know it. Yet, others have argued that such technologies could yield doomsday scenarios and that military applications of such technologies have even greater potential than nuclear weapons to radically change the balance of power. These S&T areas include robotics and autonomous unmanned system; artificial intelligence; biotechnology, including synthetic and systems biology; the cognitive neurosciences; nanotechnology, including stealth meta-materials; additive manufacturing (aka 3D printing); and the intersection of each with information and computing technologies, i.e., cyber-everything. These concepts and the underlying strategic importance were articulated at the multi-national level in NATO’s May 2010 New Strategic Concept paper: “Less predictable is the possibility that research breakthroughs will transform the technological battlefield…. The most destructive periods of history tend to be those when the means of aggression have gained the upper hand in the art of waging war.”

 

 

Low-Cost Gene Editing Could Breed a New Form of Bioterrorism — from bigthink.com by Philip Perry

Excerpt:

2012 saw the advent of gene editing technique CRISPR-Cas9. Now, just a few short years later, gene editing is becoming accessible to more of the world than its scientific institutions. This new technique is now being used in public health projects, to undermine the ability of certain mosquitoes to transmit disease, such as the Zika virus. But that initiative has had many in the field wondering whether it could be used for the opposite purpose, with malicious intent.

Back in February, U.S. National Intelligence Director James Clapper put out a Worldwide Threat Assessment, to alert the intelligence community of the potential risks posed by gene editing. The technology, which holds incredible promise for agriculture and medicine, was added to the list of weapons of mass destruction.

It is thought that amateur terrorists, non-state actors such as ISIS, or rouge states such as North Korea, could get their hands on it, and use this technology to create a bioweapon such as the earth has never seen, causing wanton destruction and chaos without any way to mitigate it.

 

What would happen if gene editing fell into the wrong hands?

 

 

 

Robot nurses will make shortages obsolete — from thedailybeast.com by Joelle Renstrom
By 2022, one million nurse jobs will be unfilled—leaving patients with lower quality care and longer waits. But what if robots could do the job?

Excerpt:

Japan is ahead of the curve when it comes to this trend, given that its elderly population is the highest of any country. Toyohashi University of Technology has developed Terapio, a robotic medical cart that can make hospital rounds, deliver medications and other items, and retrieve records. It follows a specific individual, such as a doctor or nurse, who can use it to record and access patient data. Terapio isn’t humanoid, but it does have expressive eyes that change shape and make it seem responsive. This type of robot will likely be one of the first to be implemented in hospitals because it has fairly minimal patient contact, works with staff, and has a benign appearance.

 

 

 

partnershiponai-sept2016

 

Established to study and formulate best practices on AI technologies, to advance the public’s understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society.

 

GOALS

Support Best Practices
To support research and recommend best practices in areas including ethics, fairness, and inclusivity; transparency and interoperability; privacy; collaboration between people and AI systems; and of the trustworthiness, reliability, and robustness of the technology.

Create an Open Platform for Discussion and Engagement
To provide a regular, structured platform for AI researchers and key stakeholders to communicate directly and openly with each other about relevant issues.

Advance Understanding
To advance public understanding and awareness of AI and its potential benefits and potential costs to act as a trusted and expert point of contact as questions/concerns arise from the public and others in the area of AI and to regularly update key constituents on the current state of AI progress.

 

 

 

IBM Watson’s latest gig: Improving cancer treatment with genomic sequencing — from techrepublic.com by Alison DeNisco
A new partnership between IBM Watson Health and Quest Diagnostics will combine Watson’s cognitive computing with genetic tumor sequencing for more precise, individualized cancer care.

 

 



Addendum on 11/1/16:



An open letter to Microsoft and Google’s Partnership on AI — from wired.com by Gerd Leonhard
In a world where machines may have an IQ of 50,000, what will happen to the values and ethics that underpin privacy and free will?

Excerpt:

Dear Francesca, Eric, Mustafa, Yann, Ralf, Demis and others at IBM, Microsoft, Google, Facebook and Amazon.

The Partnership on AI to benefit people and society is a welcome change from the usual celebration of disruption and magic technological progress. I hope it will also usher in a more holistic discussion about the global ethics of the digital age. Your announcement also coincides with the launch of my book Technology vs. Humanity which dramatises this very same question: How will technology stay beneficial to society?

This open letter is my modest contribution to the unfolding of this new partnership. Data is the new oil – which now makes your companies the most powerful entities on the globe, way beyond oil companies and banks. The rise of ‘AI everywhere’ is certain to only accelerate this trend. Yet unlike the giants of the fossil-fuel era, there is little oversight on what exactly you can and will do with this new data-oil, and what rules you’ll need to follow once you have built that AI-in-the-sky. There appears to be very little public stewardship, while accepting responsibility for the consequences of your inventions is rather slow in surfacing.

 

 
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