Other News, Commentary and Research

  • Robots Need Not Apply: Human Solutions in the Skills Revolution
    "Eighty six percent of employers globally say their headcount will increase or remain flat in the next two years because of automation"
  • Reworking the Revolution
    "Intelligent machines are revolutionizing every aspect of our lives. Leading businesses are successfully using artificial intelligence (AI) to improve productivity. But to achieve superior rates of growth, and to create a new wave of employment, they must now apply AI in more innovative ways."
  • Proposed Legislation Could Thwart Arizona's Artificial Intelligence Efforts
    "Sen. John Kavanagh, R-Fountain Hills, wants to make it a crime to use any computer or software that conceals its real identity 'to simulate or impersonate the action of a human.'"
  • When Artificial Intelligence Comes for White Collar Jobs, Will People Revolt?
    "The limits of a computer's abilities have been not only a technical debate for some time, but also a philosophical one. There are of course some limits on what computers can do, like feel emotion, but 'unless you believe in supernatural forces even within human beings… there's no reason why anything that you can think couldn't ultimately be done by a computer,' Toyama said."
  • Meet Your New Boss: An Algorithm
    "There is evidence computers may be better suited to some managerial tasks than people are. Humans are susceptible to cognitive traps like confirmation bias. People using intuition tend to make poor decisions but rate their performance more highly, according to a 2015 University of New England analysis of psychological studies."
    The Wall Street Journal
  • AI Is Now So Complex Its Creators Can’t Trust Why It Makes Decisions
    "Artificial intelligence is seeping into every nook and cranny of modern life….But there’s a core problem with this technology, whether it’s being used in social media or for the Mars rover: The programmers that built it don’t know why AI makes one decision over another."
  • Artificial Intelligence Seeks an Ethical Conscience
    "Concern about the potential downsides of more powerful AI [one being] even when machine-learning systems are programmed to be blind to race or gender, for example, they may use other signals in data such as the location of a person’s home as a proxy for it."
  • Robots Aren’t Killing Jobs Fast Enough—and We Should Be Worried
    "Today, the composition of jobs is relatively stagnant. Atkinson and Wu say this is because true innovation is at an ebb…. The lack of new technology has hurt labor productivity, the researchers argue, and it is one of the reasons wages have risen so little since 1980."
  • Will Artificial Intelligence Become Conscious?
    "Conscious machines would also raise troubling legal and ethical problems. Would a conscious machine be a “person” under law and be liable if its actions hurt someone, or if something goes wrong?... They’ll be able to gather more information than a human, store more than many libraries, access vast databases in milliseconds and compute all of it into decisions more complex, and yet more logical, than any person ever could."
    The Conversation
  • DeepMind's AI Became a Superhuman Chess Player In a Few Hours, Just For Fun
    "DeepMind describes how a descendant of the AI program that first conquered the board game Go has taught itself to play a number of other games at a superhuman level. After eight hours of self-play, the program bested the AI that first beat the human world Go champion; and after four hours of training, it beat the current world champion chess-playing program, Stockfish."
    The Verge
  • The Dark Side Of Artificial Intelligence
    "I strongly believe that any algorithm making decisions about opportunities that affect people’s lives requires a methodological design and testing process to ensure that it is truly bias-free. Because when you employ AI itself to remove bias from an algorithm, the results can be extraordinary."
  • Building an Effective Human-AI Decision System
    "An effective human-AI decision system should have access to large numbers of people with expertise in the problem being addressed, not only across the overall organization but beyond, since complex problems increasingly involve collaborations across multiple institutions. It would then use machine-learning-like AI algorithms to assemble the appropriate teams with the expertise required to address a particular complex problem, and provide them with the right tools to securely share data and ideas"
    The Wall Street Journal
  • Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation
    "Enough jobs are created in the [United States] (along with growth in new occupations) to offset both automation and the growth in labor force."
    McKinsey Global Institute
  • A.I. Will Transform the Economy. But How Much, and How Soon?
    "Three new reports combine to suggest these answers: It can probably do less right now than you think. But it will eventually do more than you probably think, in more places than you probably think, and will probably evolve faster than powerful technologies have in the past."
    The New York Times
  • Canada Tests 'Basic Income' Effect on Poverty Amid Lost Jobs
    "Ontario intends to provide a basic income to 4,000 people in three different communities as part of an experiment to evaluate whether providing more money to people on public assistance or low incomes will make a significant difference in their lives."
    The New York Times
  • Forget Robots: Bad Public Policies Could Be Bigger Job Killers
    "If governments and businesses choose wisely, global job displacement could affect as few as 3% of workers, but that depends on how quickly companies adopt automation tools, reconcile regulatory issues, and adjust wage rates for workers, among other factors."
    The Wall Street Journal
  • Can A.I. Be Taught to Explain Itself?
    "It wasn’t just that a clever graph indicating the best choice wasn’t the same as explaining why that choice was correct. The analyst was pointing to a legal and ethical motivation for explainability: Even if a machine made perfect decisions, a human would still have to take responsibility for them — and if the machine’s rationale was beyond reckoning, that could never happen."
    The New York Times
  • 11/16/17
  • Jobs of the Future: A Guide to Getting – and Staying – Employed Over the Next 10 Years
    "Wrenching transformations are never easy. But a world without work is a fantasy that is no closer to reality in 2017 than it was 501 years ago upon the publication of Thomas More’s Utopia…In this report, we propose 21 new jobs that will emerge over the next ten years and will become cornerstones of the future of work."
  • A.I. Will Serve Humans—But Only About 1% of Them
    "Right now, while artificial intelligence is focusing on profit-generation, natural intelligence has proven to be more than up to the task of manipulating it, as if sneaking up behind someone distracted by a shiny object. We’re coming to understand just how adroitly AI can be played as we learn more and more about Russia’s manipulation of social media during the 2016 presidential election."
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