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

Excerpt:

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

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

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

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

 

 

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

Excerpt:

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

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

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

 

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

Excerpt:

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

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

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

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

 

Back from January:

 

 

 

The title of this article is: Schools can not get facial recognition tech for free. Should they?

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

Excerpt:

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

 

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

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

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

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

 

 

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

 

 

 

The title of this article being linked here is: Inside China’s Dystopian Dreams: A.I., Shame and Lots of Cameras
Per this week’s Next e-newsletter from edsurge.com

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

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

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

 

 

Also see:

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

 

 

 

 

How artificial intelligence is transforming legal research — from abovethelaw.com by David Lat

Excerpt:

Technology and innovation are transforming the legal profession in manifold ways. According to Professor Richard Susskind, author of The Future of Law, “Looking 30 years ahead, I think it unimaginable that our legal systems will not undergo vast change.” Indeed, this revolution is already underway – and to serve their clients effectively and ethically, law firms must adapt to these changing realities.

One thing that remains unchanged, however, is the importance of legal research. In the words of Don MacLeod, Manager of Knowledge Management at Debevoise & Plimpton and author of How to Find Out Anything and The Internet Guide for the Legal Researcher:

As lawyers, you need to be on top of the current legal landscape. Legal research will allow you to advise your client on the standards of the law at this moment, whether they come from case law, statutes, or regulations.

The importance of legal research persists, but how it’s conducted is constantly advancing and evolving. Just as attorneys who used hard-copy books for all of their legal research would be amazed by online legal research services like Westlaw, attorneys using current services will be amazed by the research tools of tomorrow, powered by artificial intelligence and analytics.

 

 

 

 

Inside China’s Dystopian Dreams: A.I., Shame and Lots of Cameras — from nytimes.com by Paul Mozur

Excerpts:

ZHENGZHOU, China — In the Chinese city of Zhengzhou, a police officer wearing facial recognition glasses spotted a heroin smuggler at a train station.

In Qingdao, a city famous for its German colonial heritage, cameras powered by artificial intelligence helped the police snatch two dozen criminal suspects in the midst of a big annual beer festival.

In Wuhu, a fugitive murder suspect was identified by a camera as he bought food from a street vendor.

With millions of cameras and billions of lines of code, China is building a high-tech authoritarian future. Beijing is embracing technologies like facial recognition and artificial intelligence to identify and track 1.4 billion people. It wants to assemble a vast and unprecedented national surveillance system, with crucial help from its thriving technology industry.

 

In some cities, cameras scan train stations for China’s most wanted. Billboard-size displays show the faces of jaywalkers and list the names of people who don’t pay their debts. Facial recognition scanners guard the entrances to housing complexes. Already, China has an estimated 200 million surveillance cameras — four times as many as the United States.

Such efforts supplement other systems that track internet use and communications, hotel stays, train and plane trips and even car travel in some places.

 

 

A very slippery slope has now been setup in China with facial recognition infrastructures

 

From DSC:
A veeeeery slippery slope here. The usage of this technology starts out as looking for criminals, but then what’s next? Jail time for people who disagree w/ a government official’s perspective on something? Persecution for people seen coming out of a certain place of worship?  

Very troubling stuff here….

 

 

 

Reimagining the Higher Education Ecosystem — from edu2030.agorize.com
How might we empower people to design their own learning journeys so they can lead purposeful and economically stable lives?

Excerpts:

The problem
Technology is rapidly transforming the way we live, learn, and work. Entirely new jobs are emerging as others are lost to automation. People are living longer, yet switching jobs more often. These dramatic shifts call for a reimagining of the way we prepare for work and life—specifically, how we learn new skills and adapt to a changing economic landscape.

The changes ahead are likely to hurt most those who can least afford to manage them: low-income and first generation learners already ill-served by our existing postsecondary education system. Our current system stifles economic mobility and widens income and achievement gaps; we must act now to ensure that we have an educational ecosystem flexible and fair enough to help all people live purposeful and economically stable lives. And if we are to design solutions proportionate to this problem, new technologies must be called on to scale approaches that reach the millions of vulnerable people across the country.

 

The challenge
How might we empower people to design their own learning journeys so they can lead purposeful and economically stable lives?

The Challenge—Reimagining the Higher Education Ecosystem—seeks bold ideas for how our postsecondary education system could be reimagined to foster equity and encourage learner agency and resilience. We seek specific pilots to move us toward a future in which all learners can achieve economic stability and lead purposeful lives. This Challenge invites participants to articulate a vision and then design pilot projects for a future ecosystem that has the following characteristics:

Expands access: The educational system must ensure that all people—including low-income learners who are disproportionately underserved by the current higher education system—can leverage education to live meaningful and economically stable lives.

Draws on a broad postsecondary ecosystem: While college and universities play a vital role in educating students, there is a much larger ecosystem in which students learn. This ecosystem includes non-traditional “classes” or alternative learning providers, such as MOOCs, bootcamps, and online courses as well as on-the-job training and informal learning. Our future learning system must value the learning that happens in many different environments and enable seamless transitions between learning, work, and life.

 

From DSC:
This is where I could see a vision similar to Learning from the Living [Class] Room come into play. It would provide a highly affordable, accessible platform, that would offer more choice, and more control to learners of all ages. It would be available 24×7 and would be a platform that supports lifelong learning. It would combine a variety of AI-enabled functionalities with human expertise, teaching, training, motivation, and creativity.

It could be that what comes out of this challenge will lay the groundwork for a future, massive new learning platform.

 

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

 

Also see:

 

Computers that never forget a face — from Future Today Institute

Excerpts:

In August, the U.S. Customs and Border Protection will roll out new technology that will scan the faces of drivers as they enter and leave the United States. For years, accomplishing that kind of surveillance through a car windshield has been difficult. But technology is quickly advancing. This system, activated by ambient light sensors, range finders and remote speedometers, uses smart cameras and AI-powered facial recognition technology to compare images in government files with people behind the wheel.

Biometric borders are just the beginning. Faceprints are quickly becoming our new fingerprints, and this technology is marching forward with haste. Faceprints are now so advanced that machine learning algorithms can recognize your unique musculatures and bone structures, capillary systems, and expressions using thousands of data points. All the features that make up a unique face are being scanned, captured and analyzed to accurately verify identities. New hairstyle? Plastic surgery? They don’t interfere with the technology’s accuracy.

Why you should care. Faceprints are already being used across China for secure payments. Soon, they will be used to customize and personalize your digital experiences. Our Future Today Institute modeling shows myriad near-future applications, including the ability to unlock your smart TV with your face. Retailers will use your face to personalize your in-store shopping experience. Auto manufacturers will start using faceprints to detect if drivers are under the influence of drugs or alcohol and prevent them from driving. It’s plausible that cars will soon detect if a driver is distracted and take the wheel using an auto-pilot feature. On a diet but live with others? Stash junk food in a drawer and program the lock to restrict your access. Faceprints will soon create opportunities for a wide range of sectors, including military, law enforcement, retail, manufacturing and security. But as with all technology, faceprints could lead to the loss of privacy and widespread surveillance.

It’s possible for both risk and opportunity to coexist. The point here is not alarmist hand-wringing, or pointless calls for cease-and-desist demands on the development and use of faceprint technology. Instead, it’s to acknowledge an important emerging trend––faceprints––and to think about the associated risks and opportunities for you and your organization well in advance. Approach biometric borders and faceprints with your (biometrically unique) eyes wide open.

Near-Futures Scenarios (2018 – 2028):

OptimisticFaceprints make us safer, and they bring us back to physical offices and stores.  

Pragmatic: As faceprint adoption grows, legal challenges mount. 
In April, a U.S. federal judge ruled that Facebook must confront a class-action lawsuit that alleges its faceprint technology violates Illinois state privacy laws. Last year, a U.S. federal judge allowed a class-action suit to go forth against Shutterfly, claiming the company violated the Illinois Biometric Information Privacy Act, which ensures companies receive written releases before collecting biometric data, including faces. Companies and device manufacturers, who are early developers but late to analyzing legal outcomes, are challenged to balance consumer privacy with new security benefits.

CatastrophicFaceprints are used for widespread surveillance and authoritative control.

 

 

 

How AI is helping sports teams scout star play — from nbcnews.com by Edd Gent
Professional baseball, basketball and hockey are among the sports now using AI to supplement traditional coaching and scouting.

 

 

 

Preparing students for workplace of the future  — from educationdive.com by Shalina Chatlani

Excerpt:

The workplace of the future will be marked by unprecedentedly advanced technologies, as well as a focus on incorporating artificial intelligence to drive higher levels of production with fewer resources. Employers and education stakeholders, noting the reality of this trend, are turning a reflective eye toward current students and questioning whether they will be workforce ready in the years to come.

This has become a significant concern for higher education executives, who find their business models could be disrupted as they fail to meet workforce demands. A 2018 Gallup-Northeastern University survey shows that of 3,297 U.S. citizens interviewed, only 22% with a bachelor’s degree said their education left them “well” or “very well prepared” to use AI in their jobs.

In his book “Robot-Proof: Higher Education in the Age of Artificial Intelligence,” Northeastern University President Joseph Aoun argued that for higher education to adapt advanced technologies, it has to focus on life-long learning, which he said says prepares students for the future by fostering purposeful integration of technical literacies, such as coding and data literacy, with human literacies, such as creativity, ethics, cultural agility and entrepreneurship.

“When students combine these literacies with experiential components, they integrate their knowledge with real life settings, leading to deep learning,” Aoun told Forbes.

 

 

Amazon’s A.I. camera could help people with memory loss recognize old friends and family — from cnbc.com by Christina Farr

  • Amazon’s DeepLens is a smart camera that can recognize objects in front of it.
  • One software engineer, Sachin Solkhan, is trying to figure out how to use it to help people with memory loss.
  • Users would carry the camera to help them recognize people they know.

 

 

Microsoft acquired an AI startup that helps it take on Google Duplex — from qz.com by Dave Gershgorn

Excerpt:

We’re going to talk to our technology, and everyone else’s too. Google proved that earlier this month with a demonstration of artificial intelligence that can hop on the phone to book a restaurant reservation or appointment at the hair salon.

Now it’s just a matter of who can build that technology fastest. To reach that goal, Microsoft has acquired conversational AI startup Semantic Machines for an undisclosed amount. Founded in 2014, the startup’s goal was to build AI that can converse with humans through speech or text, with the ability to be trained to converse on any language or subject.

 

 

Researchers developed an AI to detect DeepFakes — from thenextweb.com by Tristan Greene

Excerpt:

A team of researchers from the State University of New York (SUNY) recently developed a method for detecting whether the people in a video are AI-generated. It looks like DeepFakes could meet its match.

What it means: Fear over whether computers will soon be able to generate videos that are indistinguishable from real footage may be much ado about nothing, at least with the currently available methods.

The SUNY team observed that the training method for creating AI that makes fake videos involves feeding it images – not video. This means that certain human physiological quirks – like breathing and blinking – don’t show up in computer-generated videos. So they decided to build an AI that uses computer vision to detect blinking in fake videos.

 

 

Bringing It Down To Earth: Four Ways Pragmatic AI Is Being Used Today — from forbes.com by Carlos Melendez

Excerpt:

Without even knowing it, we are interacting with pragmatic AI day in and day out. It is used in the automated chatbots that answer our calls and questions and the customer service rep that texts with us on a retail site, providing a better and faster customer experience.

Below are four key categories of pragmatic AI and ways they are being applied today.

1. Speech Recognition And Natural Language Processing (NLP)
2. Predictive Analytics
3. Image Recognition And Computer Vision
4. Self-Driving Cars And Robots

 

 

Billable Hour ‘Makes No Sense’ in an AI World — from biglawbusiness.com by Helen Gunnarsson

Excerpt:

Artificial intelligence (AI) is transforming the practice of law, and “data is the new oil” of the legal industry, panelist Dennis Garcia said at a recent American Bar Association conference.Garcia is an assistant general counsel for Microsoft in Chicago. Robert Ambrogi, a Massachusetts lawyer and blogger who focuses on media, technology, and employment law, moderated the program.“The next generation of lawyers is going to have to understand how AI works” as part of the duty of competence, panelist Anthony E. Davis told the audience. Davis is a partner with Hinshaw & Culbertson LLP in New York.

Davis said AI will result in dramatic changes in law firms’ hiring and billing, among other things. The hourly billing model, he said, “makes no sense in a universe where what clients want is judgment.” Law firms should begin to concern themselves not with the degrees or law schools attended by candidates for employment but with whether they are “capable of developing judgment, have good emotional intelligence, and have a technology background so they can be useful” for long enough to make hiring them worthwhile, he said.

 

 

Deep Learning Tool Tops Dermatologists in Melanoma Detection — from healthitanalytics.com
A deep learning tool achieved greater accuracy than dermatologists when detecting melanoma in dermoscopic images.

 

 

Apple’s plans to bring AI to your phone — from wired.com by Tom Simonite

Excerpt:

HomeCourt is built on tools announced by Federighi last summer, when he launched Apple’s bid to become a preferred playground for AI-curious developers. Known as Core ML, those tools help developers who’ve trained machine learning algorithms deploy them on Apple’s mobile devices and PCs.

At Apple’s Worldwide Developer Conference on Monday, Federighi revealed the next phase of his plan to enliven the app store with AI. It’s a tool called Create ML that’s something like a set of training wheels for building machine learning models in the first place. In a demo, training an image-recognition algorithm to distinguish different flavors of ice cream was as easy as dragging and dropping a folder containing a few dozen images and waiting a few seconds. In a session for developers, Apple engineers suggested Create ML could teach software to detect whether online comments are happy or angry, or predict the quality of wine from characteristics such as acidity and sugar content. Developers can use Create ML now but can’t ship apps using the technology until Apple’s latest operating systems arrive later this year.

 

 

 

Andrew Ng is probably teaching more students than anyone else on the planet. (Without a university involved.) — from edsurge.com by Jeff Young

Excerpt:

One selling point of MOOCs (massive online open courses) has been that students can access courses from the world’s most famous universities. The assumption—especially in the marketing messages from major providers like Coursera and edX—is that the winners of traditional higher education will also end up the winners in the world of online courses.

But that isn’t always happening.

In fact, three of the 10 most popular courses on Coursera aren’t produced by a college or university at all, but by a company. That company—called Deeplearning.ai—is a unique provider of higher education. It is essentially built on the reputation of its founder, Andrew Ng, who teaches all five of the courses it offers so far.

Ng is seen as one of the leading figures in artificial intelligence, having founded and directed the Google Brain project and served as the chief scientist at the Chinese search giant Baidu, as well as having directed the artificial intelligence laboratory at Stanford University. He also happens to be the co-founder of Coursera itself, and it was his Stanford course on machine learning that helped launch the MOOC craze in the first place.

In fact, Ng’s original Stanford MOOC remains the most popular course offered by Coursera. Since the course began in 2012, it has drawn more than 1.7 million enrollments. (It now runs on demand, so people can sign up anytime.) And his new series of courses through Deeplearning.ai, which kicked off last year, have already exceeded 250,000 signups. Even allowing for the famously low completion rates of MOOCs, it still means that hundreds of thousands of people have sat through lecture videos by Ng.

 

 

 

 

 

 

 

Below are some excerpted slides from her presentation…

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Also see:

  • 20 important takeaways for learning world from Mary Meeker’s brilliant tech trends – from donaldclarkplanb.blogspot.com by Donald Clark
    Excerpt:
    Mary Meeker’s slide deck has a reputation of being the Delphic Oracle of tech. But, at 294 slides it’s a lot to take in. Don’t worry, I’ve been through them all. It has tons on economic stuff that is of marginal interest to education and training but there’s plenty to to get our teeth into. We’re not immune to tech trends, indeed we tend to follow in lock-step, just a bit later than everyone else. Among the data are lots of fascinating insights that point the way forward in terms of what we’re likely to be doing over the next decade. So here’s a really quick, top-end summary for folk in the learning game.

 

“Educational content usage online is ramping fast” with over 1 billion daily educational videos watched. There is evidence that use of the Internet for informal and formal learning is taking off.

 

 

 

 

 

 

10 Big Takeaways From Mary Meeker’s Widely-Read Internet Report — from fortune.com by  Leena Rao

 

 

 

 

Alexa creepily recorded a family’s private conversations, sent them to business associate — from usatoday.com by Elizabeth Weise

Excerpt:

In this instance, a random series of disconnected conversations got interpreted by Alexa as a specific and connected series of commands.

It doesn’t appear that the family members actually heard Alexa asking who it should send a message to, or confirming that it should be sent.

That’s probably a function of how good the Echo’s far field voice recognition is. Each speaker has seven microphones which are arrayed so the cylindrical speaker can pick up voice commands from far away or even in noisy rooms with lots of conversations going on.

Amazon says it is evaluating options to make cases such as happened to the Portland family less likely.

But given that Forrester predicts by 2020 almost 50% of American households will contain a smart speaker, expect more such confusions in the future.

 

 

 

 

 

 

Google’s robot assistant now makes eerily lifelike phone calls for you — from theguardian.com by Olivia Solon
Google Duplex contacts hair salon and restaurant in demo, adding ‘er’ and ‘mmm-hmm’ so listeners think it’s human

Excerpt:

Google’s virtual assistant can now make phone calls on your behalf to schedule appointments, make reservations in restaurants and get holiday hours.

The robotic assistant uses a very natural speech pattern that includes hesitations and affirmations such as “er” and “mmm-hmm” so that it is extremely difficult to distinguish from an actual human phone call.

The unsettling feature, which will be available to the public later this year, is enabled by a technology called Google Duplex, which can carry out “real world” tasks on the phone, without the other person realising they are talking to a machine. The assistant refers to the person’s calendar to find a suitable time slot and then notifies the user when an appointment is scheduled.

 

 

Google employees quit over the company’s military AI project — from thenextweb.com by Tristan Greene

Excerpt:

About a dozen Google employees reportedly left the company over its insistence on developing AI for the US military through a program called Project Maven. Meanwhile 4,000 others signed a petition demanding the company stop.

It looks like there’s some internal confusion over whether the company’s “Don’t Be Evil” motto covers making machine learning systems to aid warfare.

 

 

 

The link between big tech and defense work — from wired.com by Nitasha Tiku

Except:

FOR MONTHS, A growing faction of Google employees has tried to force the company to drop out of a controversial military program called Project Maven. More than 4,000 employees, including dozens of senior engineers, have signed a petition asking Google to cancel the contract. Last week, Gizmodo reported that a dozen employees resigned over the project. “There are a bunch more waiting for job offers (like me) before we do so,” one engineer says. On Friday, employees communicating through an internal mailing list discussed refusing to interview job candidates in order to slow the project’s progress.

Other tech giants have recently secured high-profile contracts to build technology for defense, military, and intelligence agencies. In March, Amazon expanded its newly launched “Secret Region” cloud services supporting top-secret work for the Department of Defense. The same week that news broke of the Google resignations, Bloomberg reported that Microsoft locked down a deal with intelligence agencies. But there’s little sign of the same kind of rebellion among Amazon and Microsoft workers.

 

 

Amazon urged not to sell facial recognition tool to police — from wpxi.com by Gene Johnson

Excerpt:

Facebook SEATTLE (AP) – The American Civil Liberties Union and other privacy advocates are asking Amazon to stop marketing a powerful facial recognition tool to police, saying law enforcement agencies could use the technology to “easily build a system to automate the identification and tracking of anyone.”

The tool, called Rekognition, is already being used by at least one agency – the Washington County Sheriff’s Office in Oregon – to check photographs of unidentified suspects against a database of mug shots from the county jail, which is a common use of such technology around the country.

 

 

From DSC:
Google’s C-Suite — as well as the C-Suites at Microsoft, Amazon, and other companies — needs to be very careful these days, as they could end up losing the support/patronage of a lot of people — including more of their own employees. It’s not an easy task to know how best to build and use technologies in order to make the world a better place…to create a dream vs. a nightmare for our future. But just because we can build something, doesn’t mean we should.

 

 

The Complete Guide to Conversational Commerce | Everything you need to know. — from chatbotsmagazine.com by Matt Schlicht

Excerpt:

What is conversational commerce? Why is it such a big opportunity? How does it work? What does the future look like? How can I get started? These are the questions I’m going to answer for you right now.

The guide covers:

  • An introduction to conversational commerce.
  • Why conversational commerce is such a big opportunity.
  • Complete breakdown of how conversational commerce works.
  • Extensive examples of conversational commerce using chatbots and voicebots.
  • How artificial intelligence impacts conversational commerce.
  • What the future of conversational commerce will look like.

 

Definition: Conversational commerce is an automated technology, powered by rules and sometimes artificial intelligence, that enables online shoppers and brands to interact with one another via chat and voice interfaces.

 

 

 

Notes from the AI frontier: Applications and value of deep learning — from mckinsey.com by Michael Chui, James Manyika, Mehdi Miremadi, Nicolaus Henke, Rita Chung, Pieter Nel, and Sankalp Malhotra

Excerpt:

Artificial intelligence (AI) stands out as a transformational technology of our digital age—and its practical application throughout the economy is growing apace. For this briefing, Notes from the AI frontier: Insights from hundreds of use cases (PDF–446KB), we mapped both traditional analytics and newer “deep learning” techniques and the problems they can solve to more than 400 specific use cases in companies and organizations. Drawing on McKinsey Global Institute research and the applied experience with AI of McKinsey Analytics, we assess both the practical applications and the economic potential of advanced AI techniques across industries and business functions. Our findings highlight the substantial potential of applying deep learning techniques to use cases across the economy, but we also see some continuing limitations and obstacles—along with future opportunities as the technologies continue their advance. Ultimately, the value of AI is not to be found in the models themselves, but in companies’ abilities to harness them.

It is important to highlight that, even as we see economic potential in the use of AI techniques, the use of data must always take into account concerns including data security, privacy, and potential issues of bias.

  1. Mapping AI techniques to problem types
  2. Insights from use cases
  3. Sizing the potential value of AI
  4. The road to impact and value

 

 

 

AI for Good — from re-work.co by Ali Shah, Head of Emerging Technology and Strategic Direction – BBC

 

 

 

Algorithms are making the same mistakes assessing credit scores that humans did a century ago — from qz.com by Rachel O’Dwyer

 

 

 

 

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