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Artificial Intelligence: The Robots Are Now Hiring | Moving Upstream



Wall Street Journal

Some Fortune 500 companies are using tools that deploy artificial intelligence to weed out job applicants. But is this practice fair? In this episode of Moving Upstream, WSJ’s Jason Bellini investigates.

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49 thoughts on “Artificial Intelligence: The Robots Are Now Hiring | Moving Upstream
  1. The technology removes that there is you and your personal life and then there is the work you. So it doesn't matter what you do at the job. your personal life will affect it.

  2. This will cause companies to hire just the same people over and over and big companies will be even more boring. Diverse pool of people and perspectives bring even more improvements

  3. Love the use of the word "may". What will happen is that people will figure out how to "hack" the AI. AI isn't really AI, it's just clever algorithms that look for certain data points. "AI" is far from becoming really Intelligent.

  4. the method is terrible, because it assumes that the only right way of doing the job is the way it is currently being done, what if there is a better way, and someone knows it, if they take that test, they will score lower than the current way, even though they do better in the actual job, this is rubbish as it stands. (and extremely worrying that companies are still using it, if it continues, it could lead to stagnation(or at least severe slowing) of innovation, which is not a good thing.

  5. Nice development in the world of "Knowledge is limited" (Jiddhu Krishnamurti, we Brockwoodian used to lived together while he was still alive as: Krishna Ji). Thank you for sharing this video to some one used to be one of those lunatics, but still interested and delving into this AI notion.

  6. As of November 2018 here are some of the HireVue customers according to their website: IBM Watson, Hilton, Unilever, Rackspace, Keurig Dr. Pepper, Urban Outfitters, Atlanta Public Schools, Carnival, Boston Red Sox, Under Armor, Vodafone, Ocean Spray, Shipt, Sonic Networking, Mercendes, Maxis, blackbaud, Dunkin, Cathay Pacific, Children's Healthcare of Atlanta, Geico, Oracle, HBO, Dow Jones, Adventist Health System, Thurgood Marshall College Fund, Power Designer, Sequoisa, TMX Finance, Stance, Murphey Oil, Healthsouth, BASF, BYU, Carfax, CDW, Church & Dwight, ciber, ConocoPhillips, devon, Discovery Communications, Franklin Covey, Harland Clarke, New Belgium, Overstock, Panda Express, Penguin Random House, Qantas, Red Frog Events, Scott's Miracle Grow, TJX, Trinity Health, WakeMed

  7. Funny thing is, by looking for candidates that match a certain pattern among your "top" performers, you are ingraining more strongly the stereotypes that the company already has that determined who are the top performers. So, instead of removing stereotypes, I strongly suspect that you are enforcing stereotypes far more. I would consider this to be a weakness in a company doing this from an investment stand point. The reasoning behind this thought is that as you try to more closely match your sample population that you have determined is your best, you selectively weed people out who might approach problems from a view point that your selected population would not, leaving you more likely to be blind to situations. I would think that a far better use might be to weed out individuals who have undesirable traits, such as swearing, poor grooming, or other negative personal traits. I do see this becoming a potential obstacle to the ADA as people with facial or speech issues would be likely to not match the standard normalized traits. Just my thinking.

  8. But who wants to do customer support ? Nobody wants this job ! It’s a horrible dead end job with absolitely no perspectives ! If they shall use AI to recrute customer services, there will be nobody to answer our calls ! Lol

  9. Not everyone an expert at the beginning of their career. They will learn from their mistake and grow to fit into their role. What if that person doesn't have a mimic? ?

  10. I wonder if the managers and software "engineers" that came up with this system could be hired by the same computers they created.

    Computers cannot form an opinion about a person. That requires emotion and reasoning, which computers will never have.

    Sure, they can come to a consensus based on the data it collects but that consensus is based on what the computer is programed to collect.

    Humans are more than the sum total of their parts. A computer can never comprehend what a human feels when walking barefoot on the beach holding the hand of a loved one.

  11. The madness that is human. Those very people who comes up with this AI job recrutement tools should put under this very same methods to determine their worthy.

  12. The facial expressions that one person makes is likely inappropriate for a Nother person to make. I’m pretty sure that as a 38-year-old male, I do not want to make the facial expressions of a 22-year-old female.

  13. The pencil and paper personality assessment industry has been held accountable for decades to provide valid and unbiased results in determining fit for countless job profiles. This continued when the assessments went online. So when do we see this become a priority in AI-based observations and decision-making? Basically, the same EEOC and APA rules and ethics apply here, no matter the medium being used. So, big data, show me the coefficients!

  14. -"you got 37%"
    Jason:"oh that's good, right?"

    he did 30 interviews out of which 10 where video interviews.
    Jason: " half of his interviews where video interviews" xD

    Wow is Jason bad at math xD

  15. Have one eye damaged as result of surgery, my face become slightly assymetrical and my facial expressions different from algorithm. Will be discriminated by this robot. On another side human also will not hire me for the same reasons, age and appearance.

  16. Given AI technology is at its infancy, the use of AI for serious decisions seems very premature, naive and perhaps insulting to some in situations like hiring. I find the news concerning. Only the ones selling it as a solution benefit (profit) from the idea.

  17. Let me guess, the "sociologist" would prefer the government forces all hiring be based on marxism and "egalitarian" identity politics.

  18. So, this is a part of the future of interviewing. We go from face to face to AI. If or when the entire business world gets on board with this tech, then humanity is in for a huge rude awakening in trying to get a job or into a career

  19. Most people set up their social media in accordance with their inner selves. So to capture person laity based on social media sites makes sense. Yet, then their is privacy, the law, discrimination and stereotyping.

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