The 20 top tech skills that employers want and that can help you find a job, according to recruiting site Indeed — from businessinsider.com by Rosalie Chan and Bani Sapra

Excerpt:

The job search site Indeed released a report this month about the top tech skills of 2019 based on job descriptions that are being posted.

Andrew Flowers, an economist at Indeed, says that in today’s job market, there are two major trends that drive the top skills in tech. The first is the rise of data science, machine learning, and artificial intelligence. The second is the rise of cloud computing.

“Python has had explosive growth,” Flowers told Business Insider. “If I’m around the dinner table and a nephew asks what should I learn? Having done this report, I would say, learn Python.”

 

Amazon’s Ring planned neighborhood “watch lists” built on facial recognition — from theintercept.com by Sam Biddle

Excerpts (emphasis DSC):

Ring, Amazon’s crime-fighting surveillance camera division, has crafted plans to use facial recognition software and its ever-expanding network of home security cameras to create AI-enabled neighborhood “watch lists,” according to internal documents reviewed by The Intercept.

Previous reporting by The Intercept and The Information revealed that Ring has at times struggled to make facial recognition work, instead relying on remote workers from Ring’s Ukraine office to manually “tag” people and objects found in customer video feeds.

Legal scholars have long criticized the use of governmental watch lists in the United States for their potential to ensnare innocent people without due process. “When corporations create them,” said Tajsar, “the dangers are even more stark.” As difficult as it can be to obtain answers on the how and why behind a federal blacklist, American tech firms can work with even greater opacity: “Corporations often operate in an environment free from even the most basic regulation, without any transparency, with little oversight into how their products are built and used, and with no regulated mechanism to correct errors,” Tajsar said.

 

From DSC:
Those working or teaching within the legal realm — this one’s for you. But it’s also for the leadership of the C-Suites in our corporate world — as well as for all of those programmers, freelancers, engineers, and/or other employees working on AI within the corporate world.

By the way, and not to get all political here…but who’s to say what happens with our data when it’s being reviewed in Ukraine…?

 

Also see:

  • Opinion: AI for good is often bad — from wired.com by Mark Latonero
    Trying to solve poverty, crime, and disease with (often biased) technology doesn’t address their root causes.
 

AI innovators should be listening to kids — from wired.com by Urs Gasser, executive director of the Berkman Klein Center for Internet & Society at Harvard University, the principal investigator of the Center’s Youth and Media project, and a professor at Harvard Law School.
Input from the next generation is crucial when it comes to navigating the challenges of new technologies.

Excerpts:

With another monumental societal transformation on the horizon—the rise of artificial intelligence—we have an opportunity to engage the power and imagination of youth to shape the world they will inherit. Many of us were caught off guard by the unintended consequences of the first wave of digital technologies, from mass surveillance to election hacking. But the disruptive power of the internet to date only sets the stage for the even more radical changes AI will produce in the coming decades.

Instead of waiting for the youth to respond to the next crisis, we should proactively engage them as partners in shaping our AI-entangled future.

Young people have a right to participate as we make critical choices that will determine what kind of technological world we leave for them and future generations. They also have unique perspectives to contribute as the first generation to grow up surrounded by AI shaping their education, health, social lives, leisure, and career prospects.

Youth have the most at stake, and they also have valuable perspectives and experiences to contribute. If we want to take control of our digital future and respond effectively to the disruptions new technology inevitably brings, we must listen to their voices.

 

Colleges see equity success with adaptive learning systems — from edtechmagazine.com by Shailaja Neelakantan
Powered by advanced algorithms, adaptive learning technologies boost completion rates and give students confidence.

“I used to teach one class of 100 students, but now I teach 100 classes of one student each,” said Doug Williams, the adaptive learning coordinator at Arizona State University, in the white paper, describing the effect of using such a technology-driven system to improve learning outcomes.

 

From DSC:
I post this item because I believe that this is the type of thing that will be a piece of our future learning ecosystems. Learning agents. Systems that accommodate each individual’s learning preferences. Real-time formative assessments…that impact what you see and experience next.  Intelligent systems. Intelligent tutoring.

People demonstrate mastery at different times — let that be part of our futures — versus this one-size fits all, hop-on-board-or-you-miss-the-train…a train that stops for no one.

 

 

 

From DSC:
I wish that more faculty members would share their research, teaching methods, knowledge, and commentary with the world as this professor does (vs. talking to other professors behind publishers’ walled off content). In this case, Arvind happens to use Twitter. But if one doesn’t like to use Twitter, there’s also LinkedIn, WordPress/blogging, podcasting, and other outlets. 

 

 

 

MIT-IBM Watson AI Lab releases groundbreaking research on AI and the future of work — from liwaiwai.com

Excerpt:

IBM believes 100% of jobs will eventually change due to artificial intelligence, and new empirical research released last October 30 from the MIT-IBM Watson AI Lab reveals how. The research, The Future of Work: How New Technologies Are Transforming Tasks, used advanced machine learning techniques to analyze 170 million online job postings in the United States between 2010 and 2017. It shows, in the early stages of AI adoption, how tasks of individual jobs are transforming and the impact on employment and wages.

“As new technologies continue to scale within businesses and across industries, it is our responsibility as innovators to understand not only the business process implications, but also the societal impact,” said Martin Fleming, vice president and chief economist of IBM. “To that end, this empirical research from the MIT-IBM Watson AI Lab sheds new light on how tasks are reorganizing between people and machines as a result of AI and new technologies.”

While most jobs will change as new technologies, such as AI, scale, the research shows few jobs will actually disappear. What is fundamentally changing is the way we work. 

 

Key findings from the paper here — from mitibmwatsonailab.mit.edu

  1. Tasks are Shifting Between People and Machines – But the Change has been Small
  2. Tasks Increasing in Value Tend to Require Soft Skills
  3. High- and Low-Wage Jobs are Gaining Tasks and Earning More

 

Also related/see:

Brookings: AI will heavily affect tech and white-collar jobs — from venturebeat.com by Khari Johnson

Excerpt:

AI is set to have a big impact on high-wage, white-collar, and tech jobs, according to a new Brookings Institution study released today. The report analyzes overlap between job descriptions and patent database text, using NLP to assign each job an exposure score.

“High-tech digital services such as software publishing and computer system design — that before had low automation susceptibility — exhibit quite high exposure, as AI tools and applications pervade the technology sector,” the report reads.

 

6 critical IT skills for the next decade: Bay Area CIO of the Year winners share — from enterprisersproject.com by Ginny Hamilton
What skills will IT talent need most? Six award-winning CIOs discuss the top skills on their radar screens – from AI to emotional intelligence

I’d highly recommend all technology professionals build their external network and contribute to the external professional community as early in your career as possible. The wisdom of the tech community is incredibly important, and because you have to curate this over an extended period of time, there is no accelerated option you can tap at a later date. Technology professionals need to constantly be re-inventing themselves to stay relevant. As technology evolves, so too do the people and roles around it. Constant change is the steady state today and as I tell my team, “The pain of change is mandatory, it is the suffering that is optional. And if you don’t like change, you are going to like irrelevance even less.”

 

From DSC:
This is an especially good read for students who are considering going into a tech-focused career. If you decide to go that route, you had better be ready for constant change….constant, lifelong learning. And as you get older, you will face age discrimination. Enjoy the jobs that you get from ages 18-30 (perhaps even up to age 35). After that, it gets much tougher. Hopefully, that situation will change as more organizations get sued for allowing this discrimination to continue (perhaps implementing is the more appropriate word…vs. allowing it to occur). Here are some examples of those kinds of issues/suits. But for now, that’s the state of things…at least here in the United States.

 

This former Apple designer is taking on Amazon’s Twitch with $146 million and Fox’s backing — from fastcompany.com by Jeff Beer
Caffeine founder and CEO Ben Keighran talks about why live streaming is much more than gaming—it’s the future of TV.

Excerpt (emphasis DSC):

Live-streaming startup Caffeine, started by former Apple designer Ben Keighran, is emerging out of a two-year beta today and aims to overtake Amazon’s Twitch and Microsoft’s Mixer as the world’s leading live broadcasting platform. The official release version features a completely new design for its website and iOS and Android apps that combines editorial, algorithmic, and social connections to make it easier to discover live broadcasting from gamers, entertainers, and athletes, as well as create your own interactive broadcasts featuring live television content.

Twitch is the undisputed king of live-streamed gaming, but Keighran is betting that Caffeine’s more diverse focus to go beyond gaming—into entertainment and sports—will make it a more attractive place for both viewers and creators.

Keighran says another technological difference between Caffeine and Twitch is in its ease of use and quickness. “In just a couple of clicks, you can stream Red Bull 24/7 and be the commentator, you can stream Fortnite in one click, you can create an entertainment stream and talk about the new sneaker you just got, and you can do that all in one place,” he says. “And it’s all in real-time—there’s no delay in the video, whereas on Twitch, there’s up to a 60-second delay.”

 

From DSC:
Hmmm… social interaction. New platforms for streaming live content. Ability to comment and ask questions (i.e., audience interactions). Interactive chats.

Can we add learning-related experiences to the audiences and applications here?

 

 

A somewhat related item:

 

In Search of a Conversational Bot: Voice Computing Evolves — from learningsolutionsmag.com by Pamela Hogle

Excerpts:

Voice computing is rapidly changing the way people interact with technology, which will have dramatic impact on how learners expect to interact with eLearning technology.

Using conversational AI in an eLearning context, where learners are focused on a single topic or narrow range of content, could become feasible before developers achieve the goal of an AI that excels at general conversation.

 

FTI 2020 Trend Report for Entertainment, Media, & Technology [FTI]

 

FTI 2020 Trend Report for Entertainment, Media, & Technology — from futuretodayinstitute.com

Our 3rd annual industry report on emerging entertainment, media and technology trends is now available.

  • 157 trends
  • 28 optimistic, pragmatic and catastrophic scenarios
  • 10 non-technical primers and glossaries
  • Overview of what events to anticipate in 2020
  • Actionable insights to use within your organization

KEY TAKEAWAYS

  • Synthetic media offers new opportunities and challenges.
  • Authenticating content is becoming more difficult.
  • Regulation is coming.
  • We’ve entered the post-fixed screen era.
  • Voice Search Optimization (VSO) is the new Search Engine Optimization (SEO).
  • Digital subscription models aren’t working.
  • Advancements in AI will mean greater efficiencies.

 

 

Emerging Tech Trend: Patient-Generated Health Data — from futuretodayinstitute.com — Newsletter Issue 124

Excerpt:

Near-Futures Scenarios (2023 – 2028):

Pragmatic: Big tech continues to develop apps that are either indispensably convenient, irresistibly addictive, or both, and we pay for them, not with cash, but with the data we (sometimes unwittingly) let the apps capture. But for the apps for health care and medical insurance, the stakes could literally be life-and-death. Consumers receive discounted premiums, co-pays, diagnostics and prescription fulfillment, but the data we give up in exchange leaves them more vulnerable to manipulation and invasion of privacy.

Catastrophic: Profit-driven drug makers exploit private health profiles and begin working with the Big Nine. They use data-based targeting to over prescribe patients, netting themselves billions of dollars. Big Pharma target and prey on people’s addictions, mental health predispositions and more, which, while undetectable on an individual level, take a widespread societal toll.

Optimistic: Health data enables prescient preventative care. A.I. discerns patterns within gargantuan data sets that are otherwise virtually undetectable to humans. Accurate predictive algorithms identifies complex combinations of risk factors for cancer or Parkinson’s, offers early screening and testing to high-risk patients and encourages lifestyle shifts or treatments to eliminate or delay the onset of serious diseases. A.I. and health data creates a utopia of public health. We happily relinquish our privacy for a greater societal good.

Watchlist: Amazon; Manulife Financial; GE Healthcare; Meditech; Allscripts; eClinicalWorks; Cerner; Validic; HumanAPI; Vivify; Apple; IBM; Microsoft; Qualcomm; Google; Medicare; Medicaid; national health systems; insurance companies.

 

AI hiring could mean robot discrimination will head to courts — from news.bloomberglaw.com by Chris Opfer

  • Algorithm vendors, employers grappling with liability issues
  • EEOC already looking at artificial intelligence cases

Excerpt:

As companies turn to artificial intelligence for help making hiring and promotion decisions, contract negotiations between employers and vendors selling algorithms are being dominated by an untested legal question: Who’s liable when a robot discriminates?

The predictive strength of any algorithm is based at least in part on the information it is fed by human sources. That comes with concerns the technology could perpetuate existing biases, whether it is against people applying for jobs, home loans, or unemployment insurance.

From DSC:
Are law schools and their faculty/students keeping up with these kinds of issues? Are lawyers, judges, attorney generals, and others informed about these emerging technologies?

 

A face-scanning algorithm increasingly decides whether you deserve the job — from washingtonpost.com by Drew Harwell
HireVue claims it uses artificial intelligence to decide who’s best for a job. Outside experts call it ‘profoundly disturbing.’

Excerpt:

An artificial intelligence hiring system has become a powerful gatekeeper for some of America’s most prominent employers, reshaping how companies assess their workforce — and how prospective employees prove their worth.

Designed by the recruiting-technology firm HireVue, the system uses candidates’ computer or cellphone cameras to analyze their facial movements, word choice and speaking voice before ranking them against other applicants based on an automatically generated “employability” score.

 

The system, they argue, will assume a critical role in helping decide a person’s career. But they doubt it even knows what it’s looking for: Just what does the perfect employee look and sound like, anyway?

“It’s a profoundly disturbing development that we have proprietary technology that claims to differentiate between a productive worker and a worker who isn’t fit, based on their facial movements, their tone of voice, their mannerisms,” said Meredith Whittaker, a co-founder of the AI Now Institute, a research center in New York.

 

From DSC:
If you haven’t been screened out by an algorithm from an Applicant Tracking System recently, then you haven’t been looking for a job in the last few years. If that’s the case:

  • Then you might not be very interested in this posting.
  • You will be very surprised in the future, when you do need to search for a new job.

Because the truth is, it’s very difficult to get the eyes of a human being to even look at your resume and/or to meet you in person. The above posting/article should disturb you even more. I don’t think that the programmers have programmed everything inside an experienced HR professional’s mind.

 

Also see:

  • In case after case, courts reshape the rules around AI — from muckrock.com
    AI Now Institute recommends improvements and highlights key AI litigation
    Excerpt:
    When undercover officers with the Jacksonville Sheriff’s Office bought crack cocaine from someone in 2015, they couldn’t actually identify the seller. Less than a year later, though, Willie Allen Lynch was sentenced to 8 years in prison, picked through a facial recognition system. He’s still fighting in court over how the technology was used, and his case and others like it could ultimately shape the use of algorithms going forward, according to a new report.
 

Deepfakes: When a picture is worth nothing at all — from law.com by Katherine Forrest

Excerpt:

“Deepfakes” is the name for highly realistic, falsified imagery and sound recordings; they are digitized and personalized impersonations. Deepfakes are made by using AI-based facial and audio recognition and reconstruction technology; AI algorithms are used to predict facial movements as well as vocal sounds. In her Artificial Intelligence column, Katherine B. Forrest explores the legal issues likely to arise as deepfakes become more prevalent.

 

There are major issues with AI. This article shows how far the legal realm is in wrestling with emerging technologies.

What happens when employers can read your facial expressions? — from nytimes.com by Evan Selinger and Woodrow Hartzog
The benefits do not come close to outweighing the risks.

Excerpts:

The essential and unavoidable risks of deploying these tools are becoming apparent. A majority of Americans have functionally been put in a perpetual police lineup simply for getting a driver’s license: Their D.M.V. images are turned into faceprints for government tracking with few limits. Immigration and Customs Enforcement officials are using facial recognition technology to scan state driver’s license databases without citizens’ knowing. Detroit aspires to use facial recognition for round-the-clock monitoring. Americans are losing due-process protections, and even law-abiding citizens cannot confidently engage in free association, free movement and free speech without fear of being tracked.

 “Notice and choice” has been an abysmal failure. Social media companies, airlines and retailers overhype the short-term benefits of facial recognition while using unreadable privacy policiesClose X and vague disclaimers that make it hard to understand how the technology endangers users’ privacy and freedom.

 

From DSC:
This article illustrates how far behind the legal realm is in the United States when we look at where our society is at with wrestling with emerging technologies. Dealing with this relatively new *exponential* pace of change is very difficult for many of our institutions to deal with (higher education and the legal realm come to my mind here).

 

 

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