How will AI and robotics transform jobs of the future? | Tony Saldanha

How will AI and robotics transform jobs of the future? | Tony Saldanha


If there was one technology that we had to
pick that was going to change the way the world operates it has got to be artificial
intelligence. Artificial intelligence is the capability
that you see when you speak to Siri or Cortana. Artificial intelligence is the, you know,
three line updates in real time that tell you the scores online on Yahoo Finance or
Yahoo Sports. That 90 percent of those one liner updates
on sports or finance are actually written by robots, not humans. That is artificial intelligence at work. Artificial intelligence is what is driving
your car when you’re driving a Tesla in auto mode. So artificial intelligence is all about augmenting
human decision making using computers. And by the way, when people talk to us about
how artificial intelligence is going to take all of our jobs they forget the fact that
artificial intelligence is already here. Artificial intelligence is a complement to
what we do because that is basically what is happening with your medical devices that’s
scanning your x-rays and advising doctors. And so he ability for humans to use computers
and knowledge in a very narrow area to augment human decision making is artificial intelligence. We know that artificial intelligence – we
know that artificial intelligence has the ability to read x-rays better than most doctors
today. We also know that there are artificial intelligence
courts set up in Latvia and China that are actually handling small claims so you actually
don’t need a judge to do the things that are routine. That is how artificial intelligence is complementing
normal decision making for the more routine, the more mundane type of decisions that you
would otherwise use human capacity. The other technology that I’m very excited
about is robotics and drones. So robotics, the mechanical use of robots
to do the work of, the mundane work of people is a very, very exciting development. As we know manufacturing as we know it is
transforming because of the use of robotics. For many years manufacturing was moved from
developed countries to developing countries because it was absolutely impossible to stay
competitive with the labor costs in developed countries. Today work is actually moving backwards from
$5 a day pay rates in developing countries all the way back through developed. This is transformational. This has the ability to change lives of people
in terms of jobs, skills, the entire economic mortals of the world. That’s one of the reasons why I’m so pumped
about the potential of robotics to change the way that we work.

40 thoughts on “How will AI and robotics transform jobs of the future? | Tony Saldanha

  1. When did everyone agreed that in 2019 homo sapiens are not allowed to eat or sleep well!? We really have the concepts of raising decency in homo sapiens, we are as Gods, we might as well just get good at it.

  2. Yang Gang where you at?! #YangGang

    Elizabeth Warren doesn't believe this topic to be true. Says it's just a nice "story"…

  3. 1:08 they don't forget nothing..it'a already happening but it could be worse if people will not wake up.because people like you who take it so lightly and blind people with your ignorance they tend to ignore

  4. Everyone concerned with this issue should seriously research Democratic Presidential candidate Andrew Yang. He has robust and thoughtful policies that will enable us to embrace automation rather than fear it.

    yang2020.com

  5. Learning machine is in a way A.I but saying Siri and Cortana es Real A.I. it's a very naive argument. Sorry Big Think but Yuval Noah Harari explained all of this in a higher level since long time ago.

  6. As someone who works in the field — no, AI cannot read x-rays better than radiologists. Studies show that when looking at difficult cases, the best AI model is worse than a 1st year radiology resident. We'll get there, but we're not there yet.

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  8. Well in terms of TRANSFORMATION, it will definitely make life easier for sure but obviously drop the number of jobs down like cashier, telemarketing, etc. But I just hope it won't be intelligent enough to take away the jobs of physicians, healthcare, and other medical jobs. It takes humans to make discovers and handle surgical operations carefully but with nanotechnology, that's something different. I am ok with AI but at the same time it makes me feel uneasy because they are robots.

  9. Yeah AI will take 60-80% of global jobs, COMPLIMENTING poverty very nicely with a massive drone police state that herds the poor and impoverished into camps. Then AI will be used to, TRANSFORM that unnecessary global workforce into fertilizer and fuel.

  10. Here let me list the 4 job types of the near future, 30 years from now all bets are out the window
    (1) Entertainment (pay range is almost nothing to millions)
    (2) Personal service I.E. a waitress (pay range poor to lower middle class for 98% of those)
    (3) Administrators I.E Tech, Finance, Sales (pay range lower to upper middle class)
    (4) Owners, Presidents and VPs of businesses. (pay range is almost nothing to millions)

    And that is it. Thats strips almost 70% of current job types from the market, and that is already happening, this doesn't start ten years from now, it started ten years ago.

  11. "That one line is written by robots not humans"
    Yup, typical fool who knows not what he speaks. Delusional people (dinosaurs) with zero programming + tech experience.

  12. Take a look to the Venus Project please.
    "Paradise ir oblivion" in Youtube.
    Technology must help people instead of bring inequality due to the price system.

  13. This sycophant is talking like all the examples he has mentioned are authentic A.I.; Isn’t there a difference between “machine learning” and authentic artificial intelligence?

    I don’t think Siri, cortana, predictive algorithms/machine learning, etc actually qualify as “artificial intelligence” in its truest sense. 🔥🤔🔥

  14. Biology's the most complicated computer we know of . But with our current today simpler computers to the point of neuralink or ai it can help us solve biology and then we can do anything we want with it

  15. Intelligence has five major components: reasoning, sensory processing, motor processing, knowledge, and neuroplasticity(learning). What this guy talks about in the video is computational statistics, a type of reasoning. Building a super AI is not a job limited to experts in computational statistics, but it is something that requires combined efforts of experts from all subjects and fields. Computational statistics, being that it is only statistics, is only useful where statistics can be applied. For example, such is useful when you're trying to do sensory processing or motor processing. But there are other types of tasks that require different types of reasoning. For example, if you're trying to do some form of investigative tasks, you'll need an AI that incorporates scientific method and incorporate deductive and inductive reasoning. Statistical analysis is useful when trying to figure out what is the most likely outcome. But there is something that precedes that in terms of importance. That is the universal truths (facts), and by-definition truths. These are something that humans can directly register into the machine by hand, instead of feeding them with sample data. When there is an exception in logic, that's when the statistical analysis comes in for the context analysis. For example, when you learn a vocabulary, there is two ways to do it. First, is to read a dictionary. Second, is to learn it by usage (which is by most cases only as good as guessing) and sensory input (such as pictures). The first precedes the second, but the second is still important. When the first usage doesn't make sense for the reader, that's when the second comes in and be registered into the historical sample database of that particular case — that's context analysis, figuring out what most likely the person is trying communicate when the exact definition is misused or when there is an ambiguity in definition.

    I was going to write a book on this whole subject of establishing the foundation of super AI. But it feels like my work will get stolen anyways and I'm not going to do it.

    Let me give you a hint. Knowledge is not just about data and finding patterns in these data with statistical analysis. Knowledge is self-awareness. The computer has to know how to read its own code, its own mind. Carefully registering the proper knowledge in the machine, not just some method, the machine can even generalize what it learns and knows.

  16. double talk, AI is replacing workers and already being seen as a method to drive wages down. Flood the market with people competing for jobs, fresh out of work as their former jobs are now being done by AI. All the talk is about augmenting humans, but the actions all say replace.

  17. im not a specialist but, when somebody talk about AI, its always the same story, with the Tesla and the Xrays. And don't use an Indian person talking about AI, that's just racist.

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