robotics

From DSC:
Below are some further items that discuss the need for some frameworks, policies, institutes, research, etc. that deal with a variety of game-changing technologies that are quickly coming down the pike (if they aren’t already upon on). We need such things to help us create a positive future.

Also see Part I of this thread of thinking entitled, “The need for ethics, morals, policies, & serious reflection about what kind of future we want has never been greater!“ There have been so many other items that came out since that posting, I felt like I needed to add another one here.

What kind of future do we want? How are we going to insure that we get there?

As the saying goes…”Just because we can do something, doesn’t mean we should.” Or another saying comes to my mind…”What could possibly go wrong with this? It’s a done deal.”

While some of the items below should have very positive impacts on society, I do wonder how long it will take the hackers — the ones who are bent on wreaking havoc — to mess up some of these types of applications…with potentially deadly consequences? Security-related concerns must be dealt with here.

5 amazing and alarming things that may be done with your DNA — from washingtonpost.com by Matt McFarland

Excerpt (emphasis DSC):

Venter is leading efforts to use digital technology to analyze humans in ways we never have before, and the results will have huge implications for society. The latest findings he described are currently being written up for scientific publications. Venter didn’t want to usurp the publications, so he wouldn’t dive into extensive detail of how his team has made these breakthroughs. But what he did share offers an exciting and concerning overview of what lies ahead for humanity. There are social, legal and ethical implications to start considering. Here are five examples of how digitizing DNA will change the human experience:

These are the decisions the Pentagon wants to leave to robots — from defenseone.com by Patrick Tucker
The U.S. military believes its battlefield edge will increasingly depend on automation and artificial intelligence.

Excerpt:

Conducting cyber defensive operations, electronic warfare, and over-the-horizon targeting. “You cannot have a human operator operating at human speed fighting back at determined cyber tech,” Work said. “You are going to need have a learning machine that does that.” He did not say whether the Pentagon is pursuing the autonomous or automatic deployment of offensive cyber capabilities, a controversial idea to be sure. He also highlighted a number of ways that artificial intelligence could help identify new waveforms to improve electronic warfare.

Britain should lead way on genetically engineered babies, says Chief Scientific Adviser — from.telegraph.co.uk by Sarah Knapton
Sir Mark Walport, who advises the government on scientific matters, said it could be acceptable to genetically edit human embryos

Excerpt:

Last week more than 150 scientists and campaigners called for a worldwide ban on the practice, claiming it could ‘irrevocably alter the human species’ and lead to a world where inequality and discrimination were ‘inscribed onto the human genome.’

But at a conference in London [on 12/8/15], Sir Mark Walport, who advises the government on scientific matters, said he believed there were ‘circumstances’ in which the genetic editing of human embyros could be ‘acceptable’.

Cyborg Future: Engineers Build a Chip That Is Part Biological and Part Synthetic — from futurism.com

Excerpt:

Engineers have succeeded in combining an integrated chip with an artificial lipid bilayer membrane containing ATP-powered ion pumps, paving the way for more such artificial systems that combine the biological with the mechanical down the road.

Robots expected to run half of Japan by 2035 — from engadget.com by Andrew Tarantola
Something-something ‘robot overlords’.

Excerpt:

Data analysts Nomura Research Institute (NRI), led by researcher Yumi Wakao, figure that within the next 20 years, nearly half of all jobs in Japan could be accomplished by robots. Working with Professor Michael Osborne from Oxford University, who had previously investigated the same matter in both the US and UK, the NRI team examined more than 600 jobs and found that “up to 49 percent of jobs could be replaced by computer systems,” according to Wakao.

Cambridge University is opening a £10 million centre to study the impact of AI on humanity — from businessinsider.com by Sam Shead

Excerpt:

Cambridge University announced on [12/3/15] that it is opening a new £10 million research centre to study the impact of artificial intelligence on humanity.

The 806-year-old university said the centre, being funded with a grant from non-profit foundation The Leverhulme Trust, will explore the opportunities and challenges facing humanity as a result of further developments in artificial intelligence.

Tech leaders launch nonprofit to save the world from killer robots — from csmonitor.com by Jessica Mendoza
Elon Musk, Sam Altman, and other tech titans have invested $1 billion in a nonprofit that would help direct artificial intelligence technology toward positive human impact.

2016 will be a pivotal year for social robots — from therobotreport.com by Frank Tobe
1,000 Peppers are selling each month from a big-dollar venture between SoftBank, Alibaba and Foxconn; Jibo just raised another $16 million as it prepares to deliver 7,500+ units in Mar/Apr of 2016; and Buddy, Rokid, Sota and many others are poised to deliver similar forms of social robots.

Excerpt:

These new robots, and the proliferation of mobile robot butlers, guides and kiosks, promise to recognize your voice and face and help you plan your calendar, provide reminders, take pictures of special moments, text, call and videoconference, order fast food, keep watch on your house or office, read recipes, play games, read emotions and interact accordingly, and the list goes on. They are attempting to be analogous to a sharp administrative assistant that knows your schedule, contacts and interests and engages with you about them, helping you stay informed, connected and active.

IBM opens its artificial mind to the world — from fastcompany.com by Sean Captain
IBM is letting companies plug into its Watson artificial intelligence engine to make sense of speech, text, photos, videos, and sensor data.

Excerpt:

Artificial intelligence is the big, oft-misconstrued catchphrase of the day, making headlines recently with the launch of the new OpenAI organization, backed by Elon Musk, Peter Thiel, and other tech luminaries. AI is neither a synonym for killer robots nor a technology of the future, but one that is already finding new signals in the vast noise of collected data, ranging from weather reports to social media chatter to temperature sensor readings. Today IBM has opened up new access to its AI system, called Watson, with a set of application programming interfaces (APIs) that allow other companies and organizations to feed their data into IBM’s big brain for analysis.

GE wants to give industrial machines their own social network with Predix Cloud — from fastcompany.com by Sean Captain
GE is selling a new service that promises to predict when a machine will break down…so technicians can preemptively fix it.

Foresight 2020: The future is filled with 50 billion connected devices — from ibmbigdatahub.com by Erin Monday

Excerpt:

By 2020, there will be over 50 billion connected devices generating continuous data.

This figure is staggering, but is it really a surprise? The world has come a long way from 1992, when the number of computers was roughly equivalent to the population of San Jose. Today, in 2015, there are more connected devices out there than there are human beings. Ubiquitous connectivity is very nearly a reality. Every day, we get a little closer to a time where businesses, governments and consumers are connected by a fluid stream of data and analytics. But what’s driving all this growth?

Designing robots that learn as effortlessly as babies — from singularityhub.com by Shelly Fan

Excerpt:

A wide-eyed, rosy-cheeked, babbling human baby hardly looks like the ultimate learning machine.

But under the hood, an 18-month-old can outlearn any state-of-the-art artificial intelligence algorithm.

Their secret sauce?

They watch; they imitate; and they extrapolate.

Artificial intelligence researchers have begun to take notice. This week, two separate teams dipped their toes into cognitive psychology and developed new algorithms that teach machines to learn like babies. One instructs computers to imitate; the other, to extrapolate.

Researchers have found a new way to get machines to learn faster — from fortune.com by Hilary Brueck

Excerpt:

An international team of data scientists is proud to announce the very latest in machine learning: they’ve built a program that learns… programs. That may not sound impressive at first blush, but making a machine that can learn based on a single example is something that’s been extremely hard to do in the world of artificial intelligence. Machines don’t learn like humans—not as fast, and not as well. And even with this research, they still can’t.

Team showcase how good Watson is at learning — from adigaskell.org

Excerpt:

Artificial intelligence has undoubtedly come a long way in the last few years, but there is still much to be done to make it intuitive to use. IBM’s Watson has been one of the most well known exponents during this time, but despite it’s initial success, there are issues to overcome with it.

A team led by Georgia Tech are attempting to do just that. They’re looking to train Watson to get better at returning answers to specific queries.

Why The Internet of Things will drive a Knowledge Revolution. — from linkedin.com by David Evans

Excerpt:

As these machines inevitably connect to the Internet, they will ultimately connect to each other so they can share, and collaborate on their own findings. In fact, in 2014 machines got their own ”World Wide Web” called RoboEarth, in which to share knowledge with one another. …
The implications of all of this are at minimum twofold:

The way we generate knowledge is going to change dramatically in the coming years.
Knowledge is about to increase at an exponential rate.

What we choose to do with this newfound knowledge is of course up to us. We are about to face some significant challenges at scales we have yet to experience.

Drone squad to be launched by Tokyo police — from bbc.com

Excerpt:

A drone squad, designed to locate and – if necessary – capture nuisance drones flown by members of the public, is to be launched by police in Tokyo.

An advance in artificial intelligence rivals human abilities — from todayonline.com by John Markoff

Excerpt:

NEW YORK — Computer researchers reported artificial-intelligence advances [on Dec 10] that surpassed human capabilities for a narrow set of vision-related tasks.

The improvements are noteworthy because so-called machine-vision systems are becoming commonplace in many aspects of life, including car-safety systems that detect pedestrians and bicyclists, as well as in video game controls, Internet search and factory robots.

Somewhat related:

Novo Nordisk, IBM Watson Health to create ‘virtual doctor’ — from wsj.com by Denise Roland
Software could dispense treatment advice for diabetes patients

Excerpt:

Novo Nordisk A/S is teaming up with IBM Watson Health, a division of International Business Machines Corp., to create a “virtual doctor” for diabetes patients that could dispense treatment advice such as insulin dosage.

The Danish diabetes specialist hopes to use IBM’s supercomputer platform, Watson, to analyze health data from diabetes patients to help them manage their disease.

Why Google’s new quantum computer could launch an artificial intelligence arms race — from washingtonpost.com

8 industries robots will completely transform by 2025 — from techinsider.io

Addendums on 12/17/15:

Russia and China are building highly autonomous killer robots — from businessinsider.com.au by Danielle Muoi

Excerpt:

Russia and China are creating highly autonomous weapons, more commonly referred to as killer robots, and it’s putting pressure on the Pentagon to keep up, according to US Deputy Secretary of Defense Robert Work. During a national-security forum on Monday, Work said that China and Russia are heavily investing in a roboticized army, according to a report from Defense One.

Your Algorithmic Self Meets Super-Intelligent AI — from techcrunch.com by Jarno M. Koponen

Excerpt:

At the same time, your data and personalized experiences are used to develop and train the machine learning systems that are powering the Siris, Watsons, Ms and Cortanas. Be it a speech recognition solution or a recommendation algorithm, your actions and personal data affect how these sophisticated systems learn more about you and the world around you.

The less explicit fact is that your diverse interactions — your likes, photos, locations, tags, videos, comments, route selections, recommendations and ratings — feed learning systems that could someday transform into super–intelligent AIs with unpredictable consequences.

As of today, you can’t directly affect how your personal data is used in these systems

Addendum on 12/20/15:

Humans Are Slamming Into Driverless Cars and Exposing a Key Flaw — from bloomberg.com by Keith Naughton

Addendum on 12/21/15:

Facewatch ‘thief recognition’ CCTV on trial in UK stores — from bbc.com
Excerpts (emphasis DSC):
Face-recognition camera systems should be used by police, he tells me. “The technology’s here, and we need to think about what is a proportionate response that respects people’s privacy,” he says.
…
“The public need to ask themselves: do they want six million cameras painted red at head height looking at them?

Addendum on 1/13/16:

The Algorithms Are Taking Over: Who Controls Our Online Future? — from forbes.com by Kalev Leetaru

6 items re: interesting innovations

On 12/15/2015, in Artificial Intelligence/Agents/LLMs/and Related, engineering, health, human-computer interaction (HCI), IBM, maker movement, marketing/social marketing, marketplaces, robotics, vendors, Virtual Reality (VR) / worlds / learning, by Daniel Christian

The North Face uses IBM’s Watson to make online shopping smarter — from thestreet.com by Rebecca Borison

Excerpt:

Aiming to solve one of e-commerce’s challenges of not offering personalized service, VF Corp’s “The North Face” on Monday launched a new online shopping tool using IBM’s Watson artificial intelligence system.

The tool, which is powered by Fluid and called XPS, guides a consumer through the online store to better find what he or she is looking for.

E-commerce today doesn’t generally give the personal attention a consumer might get when he walks into a store and is greeted by a human being. This new tool seeks to address that challenge.

Watch this robot solve a Rubik’s Cube in a world record 2.39 seconds — from singularityhub.com by Jason Dorrier

.

Novo Nordisk, IBM Watson Health to create ‘virtual doctor’ — from wsj.com by Denise Roland
Software could dispense treatment advice for diabetes patients

Excerpt:

Novo Nordisk A/S is teaming up with IBM Watson Health, a division of International Business Machines Corp., to create a “virtual doctor” for diabetes patients that could dispense treatment advice such as insulin dosage.

The Danish diabetes specialist hopes to use IBM’s supercomputer platform, Watson, to analyze health data from diabetes patients to help them manage their disease.

CES 2016: driverless cars and virtual reality to dominate at world’s biggest technology show — from mirror.co.uk
The world’s biggest technology showcase kicks off in Las Vegas on 6 January 2016. Here’s what we know about what will be happening at the Consumer Electronics Show

Build an automatic cookie decorating machine with LEGO Mindstorms — from lifehacker.com by Patrick Allan

Excerpt:

Decorating cookies by hand can be a pleasant activity, but with a LEGO Mindstorms set, you can crank out a bunch of perfectly iced cookies in no time at all.

World’s First Holographic Navigation System — from machinetomachinemagazine.com

Excerpt:

PARIS – The United States is the first commercial market to receive two innovative telematics devices that apply aerospace technology to land navigation. WayRay Navion is an augmented reality navigation system that projects holographic GPS imagery and driver notifications onto the windshield of a car, a first-of-its-kind for the automobile aftermarket. WayRay Element is a smart tracker that can be plugged into the diagnostics port of any automobile for monitoring driver performance, safety and fuel efficiency. The solutions arrive courtesy of WayRay, a Swiss startup dedicated to the advancement of connected car telematics, and Orange Business Services, a B2B global telecom operator and IT solutions integrator.

From DSC:
Some of the items that I see at Singularity Hub — and the perspectives held and lifted up by some of the authors therein — are over the top…at least for me they are. Nevertheless, at other times I think that there are some pretty solid articles at the site. Along these lines, the following two postings are worth a read.

Automation is eating jobs, but these skills will always be valued in the workplace — from singularityhub.com by Alison Berman
If you’d asked farmers a few hundred years ago what skills their kids would need to thrive, it wouldn’t have taken long to answer. General skills for a single profession that only changed slowly.

Excerpt:

Finland recently shifted its national curriculum to a new model called the “phenomenon-based” approach. By 2020, the country will replace traditional classroom subjects with a topical approach highlighting the four Cs—communication, creativity, critical thinking, and collaboration. These four skills “are central to working in teams, and a reflection of the ‘hyperconnected’ world we live in today,” Singularity Hub Editor-in-Chief David Hill recently wrote.

Hill notes the four Cs directly correspond to the skills needed to be a successful 21st century entrepreneur—when accelerating change means the jobs we’re educating for today may not exist tomorrow. Finland’s approach reflects an important transition away from the antiquated model used in most US institutions—a model created for a slower, more stable labor market and economy that no longer exists.

In addition to the four Cs, successful entrepreneurs across the globe are demonstrating three additional soft skills that can be integrated into the classroom—adaptability, resiliency and grit, and a mindset of continuous learning.

These skills can equip students to be problem-solvers, inventive thinkers, and adaptive to the fast-paced change they are bound to encounter. In a world of uncertainty, the only constant is the ability to adapt, pivot, and get back on your feet.

From DSC:
I’m glad to see that they added 3 additional soft skills to the 4 C’s mentioned above: adaptability, resiliency and grit, and a mindset of continuous learning.

These skills can equip students to be problem-solvers, inventive thinkers, and adaptive to the fast-paced change they are bound to encounter. In a world of uncertainty, the only constant is the ability to adapt, pivot, and get back on your feet.

Given the pace of change, I think that one of the most overlooked competencies that is quickly becoming critical is the ability to scan the horizons to see what’s coming down the pike. We often have our eyesight turned downwards, focusing on the tasks at hand. But we don’t always do a good job of looking up, glancing around the various relevant landscapes to one’s job/position, and ascertaining which of the developing trends might impact us. We often either don’t know how to strategize or we don’t take the time to come up with plans for what we should do if those trends might adversely affect us. Instead, we move forward with our eyesight pointing downwards — then we suddenly get blindsided.

Also see:

How would today’s smartest teens overhaul education? We asked them — from singularityhub.com by Libby Falck
What happens when you gather 14 of the world’s brightest teenagers at Singularity University and ask them to design the future of education? During last summer’s Exponential Youth Camp, we found out.

Excerpts:

The first thing that became very clear during our conversation was that our group of “Generation Me” millennials expect their learning to be highly personalized. It should be “my choice” to pursue “my interests” at “my pace,” they argued. Although this may at first sound childish, these demands are far from selfish. Why? Because personalization is necessary to compete in today’s intricately specialized world.
…
Nonetheless, our XYC teens told us they are looking for more than hands-on practice in the classroom; they want opportunities to work on projects in the real world as well. For them, contributing to the local community sparked engagement and motivation in a way that classroom work couldn’t match. Furthermore, the teens told us that most tests “just don’t make sense.”
…
The teens told us online courses are “great for educated specialists” but don’t cater to beginners. They cited a lack of time to complete online coursework and internet connectivity issues faced by many schools as additional issues. Mostly, the teens didn’t like the idea of “going it alone.” The problem wasn’t that online learning content was bad, the students simply desired guidance in navigating the material.
…
The teens told us they value traditional subject matter, but opportunities to build more practical skills were lacking. Interest in learning more about money management and soft skill development — like teamwork, problem solving and conflict resolution — was mentioned multiple times.

The need for ethics, morals, policies, & serious reflection about what kind of future we want has never been greater!

On 11/19/2015, in 21st century, 24x7x365 access, analytics, Artificial Intelligence/Agents/LLMs/and Related, Asia, Augmented Reality (AR), Australia, business, Canada, change, communities of practice, computer science, Daniel S. Christian, ethics, Europe, future, game-changing environment, global / globalization, hearts -- matters of the heart, human-computer interaction (HCI), ideas, India, leadership, legislatures / government / legal, machine-to-machine communications, morals/values, Near Field Communication (NFC), pace of change, policy, political science, programming, psychology, real-world assignments, relationships, robotics, society, sociology, strategy, surviving, technology (general), the downsides of how people use tech, trends, UK, United States, Virtual Reality (VR) / worlds / learning, workplace, by Daniel Christian

From DSC:
This posting is meant to surface the need for debates/discussions, new policy decisions, and for taking the time to seriously reflect upon what type of future that we want. Given the pace of technological change, we need to be constantly asking ourselves what kind of future we want and then to be actively creating that future — instead of just letting things happen because they can happen. (i.e., just because something can be done doesn’t mean it should be done.)

Gerd Leonhard’s work is relevant here. In the resource immediately below, Gerd asserts:

I believe we urgently need to start debating and crafting a global Digital Ethics Treaty. This would delineate what is and is not acceptable under different circumstances and conditions, and specify who would be in charge of monitoring digressions and aberrations.

I am also including some other relevant items here that bear witness to the increasingly rapid speed at which we’re moving now.

Redefining the relationship of man and machine: here is my narrated chapter from the ‘The Future of Business’ book (video, audio and pdf) — from futuristgerd.com by Gerd Leonhard

.

Robot revolution: rise of ‘thinking’ machines could exacerbate inequality — from theguardian.com by Heather Stewart
Global economy will be transformed over next 20 years at risk of growing inequality, say analysts

Excerpt (emphasis DSC):

A “robot revolution” will transform the global economy over the next 20 years, cutting the costs of doing business but exacerbating social inequality, as machines take over everything from caring for the elderly to flipping burgers, according to a new study.

As well as robots performing manual jobs, such as hoovering the living room or assembling machine parts, the development of artificial intelligence means computers are increasingly able to “think”, performing analytical tasks once seen as requiring human judgment.

In a 300-page report, revealed exclusively to the Guardian, analysts from investment bank Bank of America Merrill Lynch draw on the latest research to outline the impact of what they regard as a fourth industrial revolution, after steam, mass production and electronics.

“We are facing a paradigm shift which will change the way we live and work,” the authors say. “The pace of disruptive technological innovation has gone from linear to parabolic in recent years. Penetration of robots and artificial intelligence has hit every industry sector, and has become an integral part of our daily lives.”

First genetically modified humans could exist within two years — from telegraph.co.uk by Sarah Knapton
Biotech company Editas Medicine is planning to start human trials to genetically edit genes and reverse blindness

Excerpt:

Humans who have had their DNA genetically modified could exist within two years after a private biotech company announced plans to start the first trials into a ground-breaking new technique.

Editas Medicine, which is based in the US, said it plans to become the first lab in the world to ‘genetically edit’ the DNA of patients suffering from a genetic condition – in this case the blinding disorder ‘leber congenital amaurosis’.

Gartner predicts our digital future — from gartner.com by Heather Levy
Gartner’s Top 10 Predictions herald what it means to be human in a digital world.

Excerpt:

Here’s a scene from our digital future: You sit down to dinner at a restaurant where your server was selected by a “robo-boss” based on an optimized match of personality and interaction profile, and the angle at which he presents your plate, or how quickly he smiles can be evaluated for further review. Or, perhaps you walk into a store to try on clothes and ask the digital customer assistant embedded in the mirror to recommend an outfit in your size, in stock and on sale. Afterwards, you simply tell it to bill you from your mobile and skip the checkout line.

These scenarios describe two predictions in what will be an algorithmic and smart machine driven world where people and machines must define harmonious relationships. In his session at Gartner Symposium/ITxpo 2016 in Orlando, Daryl Plummer, vice president, distinguished analyst and Gartner Fellow, discussed how Gartner’s Top Predictions begin to separate us from the mere notion of technology adoption and draw us more deeply into issues surrounding what it means to be human in a digital world.

Univ. of Washington faculty study legal, social complexities of augmented reality — from phys.org

Excerpt:

But augmented reality will also bring challenges for law, public policy and privacy, especially pertaining to how information is collected and displayed. Issues regarding surveillance and privacy, free speech, safety, intellectual property and distraction—as well as potential discrimination—are bound to follow.

The Tech Policy Lab brings together faculty and students from the School of Law, Information School and Computer Science & Engineering Department and other campus units to think through issues of technology policy. “Augmented Reality: A Technology and Policy Primer” is the lab’s first official white paper aimed at a policy audience. The paper is based in part on research presented at the 2015 International Joint Conference on Pervasive and Ubiquitous Computing, or UbiComp conference.

Along these same lines, also see:

Augmented Reality: Figuring Out Where the Law Fits — from rdmag.com by Greg Watry
Excerpt:
With AR comes potential issues the authors divide into two categories. “The first is collection, referring to the capacity of AR to record, or at least register, the people and places around the user. Collection raises obvious issues of privacy but also less obvious issues of free speech and accountability,” the researchers write. The second issue is display, which “raises a variety of complex issues ranging from possible tort liability should the introduction or withdrawal of information lead to injury, to issues surrounding employment discrimination or racial profiling.”Current privacy law in the U.S. allows video and audio recording in areas that “do not attract an objectively reasonable expectation of privacy,” says Newell. Further, many uses of AR would be covered under the First Amendment right to record audio and video, especially in public spaces. However, as AR increasingly becomes more mobile, “it has the potential to record inconspicuously in a variety of private or more intimate settings, and I think these possibilities are already straining current privacy law in the U.S.,” says Newell.

Stuart Russell on Why Moral Philosophy Will Be Big Business in Tech — from kqed.org by Queena Kim

Excerpt (emphasis DSC):

Our first Big Think comes from Stuart Russell. He’s a computer science professor at UC Berkeley and a world-renowned expert in artificial intelligence. His Big Think?

“In the future, moral philosophy will be a key industry sector,” says Russell.

Translation? In the future, the nature of human values and the process by which we make moral decisions will be big business in tech.

Life, enhanced: UW professors study legal, social complexities of an augmented reality future — from washington.edu by Peter Kelley

Excerpt:

But augmented reality will also bring challenges for law, public policy and privacy, especially pertaining to how information is collected and displayed. Issues regarding surveillance and privacy, free speech, safety, intellectual property and distraction — as well as potential discrimination — are bound to follow.

An excerpt from:

THREE: CHALLENGES FOR LAW AND POLICY
AR systems change human experience and, consequently, stand to challenge certain assumptions of law and policy. The issues AR systems raise may be divided into roughly two categories. The first is collection, referring to the capacity of AR devices to record, or at least register, the people and places around the user. Collection raises obvious issues of privacy but also less obvious issues of free speech and accountability. The second rough category is display, referring to the capacity of AR to overlay information over people and places in something like real-time. Display raises a variety of complex issues ranging from
possible tort liability should the introduction or withdrawal of information lead to injury, to issues surrounding employment discrimination or racial profiling. Policymakers and stakeholders interested in AR should consider what these issues mean for them. Issues related to the collection of information include…

HR tech is getting weird, and here’s why — from hrmorning.com by guest poster Julia Scavicchio

Excerpt (emphasis DSC):

Technology has progressed to the point where it’s possible for HR to learn almost everything there is to know about employees — from what they’re doing moment-to-moment at work to what they’re doing on their off hours. Guest poster Julia Scavicchio takes a long hard look at the legal and ethical implications of these new investigative tools.

Why on Earth does HR need all this data? The answer is simple — HR is not on Earth, it’s in the cloud.

The department transcends traditional roles when data enters the picture.

Many ethical questions posed through technology easily come and go because they seem out of this world.

18 AI researchers reveal the most impressive thing they’ve ever seen — from businessinsider.com by Guia Marie Del Prado,

Excerpt:

Where will these technologies take us next? Well to know that we should determine what’s the best of the best now. Tech Insider talked to 18 AI researchers, roboticists, and computer scientists to see what real-life AI impresses them the most.
…

“The DeepMind system starts completely from scratch, so it is essentially just waking up, seeing the screen of a video game and then it works out how to play the video game to a superhuman level, and it does that for about 30 different video games. That’s both impressive and scary in the sense that if a human baby was born and by the evening of its first day was already beating human beings at video games, you’d be terrified.”

Algorithmic Economy: Powering the Machine-to-Machine Age Economic Revolution — from formtek.com by Dick Weisinger

Excerpts:

As technology advances, we are becoming increasingly dependent on algorithms for everything in our lives. Algorithms that can solve our daily problems and tasks will do things like drive vehicles, control drone flight, and order supplies when they run low. Algorithms are defining the future of business and even our everyday lives.
…
Sondergaard said that “in 2020, consumers won’t be using apps on their devices; in fact, they will have forgotten about apps. They will rely on virtual assistants in the cloud, things they trust. The post-app era is coming. The algorithmic economy will power the next economic revolution in the machine-to-machine age. Organizations will be valued, not just on their big data, but on the algorithms that turn that data into actions that ultimately impact customers.”

Related items:

Toyota, Tesla or Google: who’s spending the most on artificial intelligence in the car industry? — from techworld.com by Margi Murphy
Which businesses are investing in artificial intelligence? Read how artificial intelligence will change the car industry, and other sectors, as we know it.
Toyota Invests $1 Billion In Artificial Intelligence In US — from wtvox.com / Associated Press
Top 10 Emerging Technologies That Could Transform Our Future — from wtvox.com by E Aston
What Technology Will Look Like In Five Years — from techcrunch.com by Diomedes Kastanis
Welcome To Brain Science’s Next Frontier: Virtual Reality — from fastcompany.com by Tina Amirtha
Amy Robinson, executive director at the startup EyeWire, is making neuroscience into a playground for the hot tech du jour.

Addendums:

ABI Research Shows Augmented Reality on the Rise with Total Market Worth to Reach $100 Billion by 2020 — from abiresearch.com
‘Self-Driving Cars Will Dominate the Roads by 2030,’ Says Internet of Things Visionary — from coinspeaker.com by Eugenia Romanenko
Robots are learning to say “no” to human orders — from quartz.com by Kit Eaton
Excerpt:
It may seem an obvious idea that a robot should do precisely what a human orders it to do at all times. But researchers in Massachusetts are trying something that many a science fiction movie has already anticipated: They’re teaching robots to say “no” to some instructions. For robots wielding potentially dangerous-to-humans tools on a car production line, it’s pretty clear that the robot should always precisely follow its programming. But we’re building more-clever robots every day and we’re giving them the power to decide what to do all by themselves. This leads to a tricky issue: How exactly do you program a robot to think through its orders and overrule them if it decides they’re wrong or dangerous to either a human or itself? This is what researchers at Tufts University’s Human-Robot Interaction Lab are tackling, and they’ve come up with at least one strategy for intelligently rejecting human orders.

Addendum on 12/14/15:

Algorithms rule our lives, so who should rule them? — from qz.com by Dries Buytaert
As technology advances and more everyday objects are driven almost entirely by software, it’s become clear that we need a better way to catch cheating software and keep people safe.

The Current State of Machine Intelligence — from Shivon Zilis; with thanks to Ronald van Loon for posting this on Twitter

Excerpt:

I spent the last three months learning about every artificial intelligence, machine learning, or data related startup I could find — my current list has 2,529 of them to be exact.
…
The most exciting part for me was seeing how much is happening the the application space. These companies separated nicely into those that reinvent the enterprise, industries, and ourselves.

Also see:

Gartner reveals top predictions for IT organizations & users for 2016 and beyond — from gartner.com

Excerpts:

By 2018, 20 percent of business content will be authored by machines.
By 2018, six billion connected things will be requesting support.
By 2020, autonomous software agents outside of human control will participate in five percent of all economic transactions.
By 2018, more than 3 million workers globally will be supervised by a “robo-boss.”
By year-end 2018, 20 percent of smart buildings will have suffered from digital vandalism.
By 2018, 45 percent of the fastest-growing companies will have fewer employees than instances of smart machines.
By year-end 2018, customer digital assistant will recognize individuals by face and voice across channels and partners.
By 2018, two million employees will be required to wear health and fitness tracking devices as a condition of employment.
By 2020, smart agents will facilitate 40 percent of mobile interactions, and the postapp era will begin to dominate.
Through 2020, 95 percent of cloud security failures will be the customer’s fault.

From DSC:
Some of these are pretty bold predictions. Is this the future we want? Do you want to be supervised by a “robo-boss?” Perhaps, perhaps not. Likely, given the pace of technological change, we will need to be flexible and be able to change/adapt in order to remain marketable. Lifelong learning has become a must have ingredient in our lives — for all of us in the workforce. Learning how to learn will pay off, big time.

I’m working on another posting that talks about the ethics, morals, and potential policies that need to be considered now before we get too much further down some of these pathways.

The pace has changed significantly and quickly

Telepresence robots to beam psychologists into schools [Nichols]

On 11/06/2015, in accessibility / UDL, health, ideas, K-12 related, neurodivergent/special needs, psychology, robotics, telecommunications, telepresence, vendors, videoconferencing, by Daniel Christian

Telepresence robots to beam psychologists into schools — from zdnet.com by Greg Nichols
Researchers in Utah are experimenting with robots to solve a pressing problem: There aren’t enough pediatric psychologists to go around.

Excerpt:

Researchers in Utah are using an inexpensive robotic platform to help teachers in rural areas implement programs for children with special needs.

It’s another example of the early adoption of telepresence robots by educators and service providers, which I’ve written about here before. While offices are coming around to telepresence solutions for remote workers, teachers and school administrators seem to be readily embracing the technology, which they see as a way to maximize limited resources while bringing needed services to students.

Back to the Future Day: A look at our technology in 2045 [Gewirtz]

On 10/27/2015, in future, intelligent systems, internet, machine-to-machine communications, Microsoft, robotics, technologies for your home, wearables, by Daniel Christian

Back to the Future Day: A look at our technology in 2045 — from zdnet.com by David Gewirtz
The classic geek movie Back to the Future Part II sent Marty McFly 30 years forward to October 21, 2015. We asked top technology experts to check their digital crystal balls and describe what they see in store for us 30 years from now.

Excerpts/topics include:

Robots, for those who can afford them
The personal network and the future of the smartphone
Wearable biometric sensor networks
The future of the data center
The future of shipping
Our changing lifestyle
Microsoft and the future of the PC

From DSC:
The following app looks to be something that the “makers” of the programming world might be interested in. Also, it could be great for those learners interested in engineering, robotics, and/or machine-to-machine communications; using this app could help start them down a very promising path/future.

From their website:

Programming re-imagined for the connected world.
Learn to program Arduino, drones, robots, connected toys, and smart home devices, all wirelessly. Tickle is easy to learn, fun to use, and 1000x more powerful!

Easy to learn, yet incredibly powerful!
Start learning programming the same way as Computer Science courses at Harvard and UC Berkeley. Tickle is used by makers and designers around the world to create custom robots and interactive projects, including Stanford University computer scientists.

Spark your imagination.
Create stunning games and interactive stories using our library of animated characters and sounds. With the ability to program devices to interact with other devices and virtual characters, the possibilities are limitless.

1000X the super (programming) power.
If you’ve tried Scratch, Hopscotch, Tynker, Blockly, Scratch Jr, Kodable, Pyonkee, mBlock, or Code.org, now you can go beyond the screen and program your own connected future.

From DSC:
Swivl allows faculty members, teachers, trainers, and other Subject Matter Experts (SMEs) to make recordings where the recording device swivels to follow the SME (who is holding/wearing a remote). Recordings can be automatically sent to the cloud for further processing/distribution.

My request to you is:
Can you extend the Swivl app to not only provide recordings, but to provide rough draft transcripts of those recordings as well?

This could be very helpful for accessibility reasons, but also to provide students/learners with a type of media that they prefer (video, audio, and/or text).

A note to Double Robotics — can you work towards implementing M2M communications?

On 07/22/2015, in 21st century, accessibility / UDL, Daniel S. Christian, education technology, ideas, machine-to-machine communications, neurodivergent/special needs, robotics, student-related, technologies for your home, telecommunications, telepresence, usability, user experience (UX), vendors, videoconferencing, virtual field trips, by Daniel Christian

From DSC:
A note to Double Robotics — can you work towards implementing M2M communications?

That is, when our Telepresence Robot from Double Robotics approaches a door, we need for sensors on the door and on the robot to initiate communications with each other in order for the door to open (and to close after __ seconds). If a security clearance code is necessary, the remote student or the robot needs to be able to transmit the code.

When the robot approaches an elevator, we need for sensors near the elevator and on the robot to initiate communications with each other in order for the elevator to be summoned and then for the elevator’s doors to open. We then need for the remote student/robot to be able to tell the elevator which floor it wants to go to and to close the elevator door (if if hasn’t already done so).

Such scenarios imply that we need:

Industry standards for such communications
Standards that include security clearances (i.e., “OK, I’ll let you into this floor of this public building.” or “No, I can’t open up this door without you sending me a security clearance code.”)
Secure means of communications

A major request/upgrade might also include:

The ability for the Double App on the iPad to make recordings, have an auto send option to send those recordings to the cloud, and then provide transcripts for those recordings. This could be very helpful for accessibility reasons, but also to provide students/learners with a type of media that they prefer (video, audio, and/or text).

Beyond Automation [Harvard Business Review; Davenport & Kirby]

On 07/17/2015, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, corporate / business world, economics, future, game-changing environment, generational differences, new business models, pace of change, robotics, society, staying relevant, workplace, youth, by Daniel Christian

Beyond Automation — from hbr.org by Thomas Davenport & Julia Kirby

Excerpt (emphasis DSC):

After hearing of a recent Oxford University study on advancing automation and its potential to displace workers, Yuh-Mei Hutt, of Tallahassee, Florida, wrote, “The idea that half of today’s jobs may vanish has changed my view of my children’s future.” Hutt was reacting not only as a mother; she heads a business and occasionally blogs about emerging technologies. Familiar as she is with the upside of computerization, the downside looms large. “How will they compete against AI?” she asked. “How will they compete against a much older and experienced workforce vying for even fewer positions?”

Suddenly, it seems, people in all walks of life are becoming very concerned about advancing automation. And they should be: Unless we find as many tasks to give humans as we find to take away from them, all the social and psychological ills of joblessness will grow, from economic recession to youth unemployment to individual crises of identity (*DC insert: See my footnote below). That’s especially true now that automation is coming to knowledge work, in the form of artificial intelligence. Knowledge work—which we’ll define loosely as work that is more mental than manual, involves consequential decision making, and has traditionally required a college education—accounts for a large proportion of jobs in today’s mature economies. It is the high ground to which humanity has retreated as machines have taken over less cognitively challenging work. But in the very foreseeable future, as the Gartner analyst Nigel Rayner says, “many of the things executives do today will be automated.”

From DSC:
* These are the types of concerns I was trying to get at when I asked the question: Which street do we care more about, Wall Street or Main Street?

If the we make decisions solely on the basis of the bottom lines and with an eye solely on shareholders, we could have some major issues to deal with. We must consider the effects of automation on Main Street, not just on Wall Street.

From DSC:
Many times we don’t want to hear news that could be troubling in terms of our futures. But we need to deal with these trends now or face the destabilization that Harold Jarche mentions in his posting below.

The topics found in the following items should be discussed in courses involving economics, business, political science, psychology, futurism, engineering, religion*, robotics, marketing, the law/legal affairs and others throughout the world. These trends are massive and have enormous ramifications for our societies in the not-too-distant future.

* When I mention religion classes here, I’m thinking of questions such as :

What does God have in mind for the place of work in our lives?
Is it good for us? If so, why or why not?
How might these trends impact one’s vocation/calling?
…and I’m sure that professors who teach faith/
religion-related courses can think of other questions to pursue

turmoil and transition — from jarche.com by Harold Jarche

Excerpts (emphasis DSC):

One of the greatest issues that will face Canada, and many developed countries in the next decade will be wealth distribution. While it does not currently appear to be a major problem, the disparity between rich and poor will increase. The main reason will be the emergence of a post-job economy. The ‘job’ was the way we redistributed wealth, making capitalists pay for the means of production and in return creating a middle class that could pay for mass produced goods. That period is almost over. From self-driving vehicles to algorithms replacing knowledge workers, employment is not keeping up with production. Value in the network era is accruing to the owners of the platforms, with companies such as Instagram reaching $1 billion valuations with only 13 employees.
…
The emerging economy of platform capitalism includes companies like Amazon, Facebook, Google, and Apple. These giants combined do not employ as many people as General Motors did. But the money accrued by them is enormous and remains in a few hands. The rest of the labour market has to find ways to cobble together a living income. Hence we see many people willing to drive for a company like Uber in order to increase cash-flow. But drivers for Uber have no career track. The platform owners get richer, but the drivers are limited by finite time. They can only drive so many hours per day, and without benefits. At the same time, those self-driving cars are poised to replace all Uber drivers in the near future. Standardized work, like driving a vehicle, has little future in a world of nano-bio-cogno-techno progress.

Value in the network era is accruing to the owners of the platforms, with companies such as Instagram reaching $1 billion valuations with only 13 employees.

For the past century, the job was the way we redistributed wealth and protected workers from the negative aspects of early capitalism. As the knowledge economy disappears, we need to re-think our concepts of work, income, employment, and most importantly education. If we do not find ways to help citizens lead productive lives, our society will face increasing destabilization.

Also see:

Will artificial intelligence and robots take your marketing job? — from by markedu.com by
Technology will overtake jobs to an extent and at a rate we have not seen before. Artificial intelligence is threatening jobs even in service and knowledge intensive sectors. This begs the question: are robots threatening to take your marketing job?

Excerpt:

What exactly is a human job?
The benefits of artificial intelligence are obvious. Massive productivity gains while a new layer of personalized services from your computer – whether that is a burger robot or Dr. Watson. But artificial intelligence has a bias. Many jobs will be lost.

A few years ago a study from the University of Oxford got quite a bit of attention. The study said that 47 percent of the US labor market could be replaced by intelligent computers within the next 20 years.

The losers are a wide range of job categories within the administration, service, sales, transportation and manufacturing.

…

Before long we should – or must – redefine what exactly a human job is and the usefulness of it. How we as humans can best complement the extraordinary capabilities of artificial intelligence.

This development is expected to grow fast. There are different predictions about the timing, but by 2030 there will be very few tasks that only a human can solve.

Some sharp innovations

On 05/29/2015, in 21st century, 3D, A/V -- audio/visual, digital photography, digital video, emerging technologies, Google, human-computer interaction (HCI), immersion, innovation, robotics, tools, by Daniel Christian

GoPro goes 360-degrees with new VR array — from zdnet.com by Adrian Kingsley-Hughes
Summary: Think that having one GoPro camera attached to your car, helmet or skateboard is cool. How about an array of 16 GoPros that can capture 3D video?

StereoLabs announces huge hardware breakthrough: Human vision — from zdnet.com by Greg Nichols
Summary: Earlier this month, a Bay Area startup called ?StereoLabs quietly introduced the first affordable high definition stereo camera. This is a big deal, and autonomous machines will never be the same. Here’s why.

Expeditions – Google Offers Immersive Learning — from digitalbodies.net

Excerpt:

Immersive learning is about to get a lot more real this fall with Expeditions – the new Google tool which will allow teachers to take students on virtual trips using the Google Cardboard viewer. Google reported that over 1 million devices are already in the hands of users from all ages. According to the announcement:

From the Expeditions app on their tablet, a teacher is able to send synchronized three-dimensional 360° panoramas to each student’s Cardboard viewer, pointing out areas of interest in real time and instantly pausing the trip when needed.

Expeditions will work to combine three things: a software platform, immersive virtual reality content and Android and iOS devices.

World 1st Holographic Patient-Based Augmented Reality Surgical Navigation — from youtube.com as posted by Maki Sugimoto

.

MIT’s Humanoid Robot Goes to Robo Boot Camp — from wired.com

Top Emerging Technologies – The Internet Of DNA Or Human Beings — from wtvox.com

New ‘deep learning’ technique enables robot mastery of skills via trial and error — from newscenter.berkeley.edu by Sarah Yang

Excerpt:

BERKELEY — UC Berkeley researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn, marking a major milestone in the field of artificial intelligence. They demonstrated their technique, a type of reinforcement learning, by having a robot complete various tasks — putting a clothes hanger on a rack, assembling a toy plane, screwing a cap on a water bottle, and more — without pre-programmed details about its surroundings.

And for some upcoming innovations:

Apple buys German Augmented-Reality firm Metaio — from wsj.com by Daisuke Wakabayashi

Addendum on 6/1/15:

A touchscreen on your kitchen table? TouchJet Pond turns any surface touchable — from by Alex Wood

What’s next? GM predicts jobs of the future — from media.gm.com; with thanks to Norma Owen for the resource
Top 10 jobs of the future that will drive exciting technologies

Excerpt:

Electrical engineers
Analytics expert
Interaction designers
Web programmer
Autonomous driving engineer
Customer care experts
Sustainability integration expert
Industrial engineer
3D Printing engineer
Alternative propulsion engineer

What work will look like in 2025 — from fastcompany.com by Gwen Moran
The experts weigh in on the future of work a decade from now.

Excerpt (emphasis):

Seismic Shift In Jobs
The jobs picture either delivers on technology’s promise or plunges us into a dystopian future. The same interconnected technology that will change how goods and services are delivered will “hollow out” a number of skilled jobs, Brynjolfsson says. Clerical work, bookkeeping, basic paralegal work, and even some types of reporting will be increasingly automated, contracting the number of jobs available and causing a drop in wages. And while more technology might create new and different types of jobs, so far we’ve seen more job loss than creation in these areas, he says.

…

Who wins? Specialists, the creative class, and people who have jobs that require emotional intelligence like salespeople, coaches, customer-service specialists, and people who create everything from writing and art to new products, platforms and services, Brynjolfsson says. Jobs in health care, personal services, and other areas that are tough to automate will also remain in demand, as will trade skills and science, technology and mathematics (STEM) skills, says Mark J. Schmit, PhD, executive director of the Society of Human Resource Management (SHRM) Foundation in Alexandria, Virginia.

However, this winner/loser scenario predicts a widening wealth gap, Schmit says. Workers will need to engage in lifelong education to remain on top of how job and career trends are shifting to remain viable in an ever-changing workplace, he says.

From DSC:
Tell me this…do today’s standardized tests produce these “specialists, the creative class, and people who have jobs that require emotional intelligence like salespeople, coaches, customer-service specialists, and people who create everything from writing and art to new products, platforms and services?”

Nope…I don’t think so either.

Given that…what changes do we need to make in order to better prepare our kids for the future they will inherit? For the skills and mindsets that they will need?

———-

Addendum on 5/22/15:

Here is what my work day will look like in 2025 — from blog.hrtecheurope.com by Saida Ayupova

Learning Ecosystems

Back to the Future Day: A look at our technology in 2045 [Gewirtz]

Some sharp innovations

Categories

Tags