Humanity.Press http://humanity.press HUMAN NEWS - HUMAN VIEWS Fri, 09 Feb 2018 04:07:21 +0000 en-US hourly 1 https://wordpress.org/?v=4.9.4 http://humanity.press/wp-content/uploads/2017/12/cropped-certificate-1-32x32.png Humanity.Press http://humanity.press 32 32 2 Dead, More Than A Dozen Injured In Kentucky High School Shooting http://humanity.press/2-dead-more-than-a-dozen-injured-in-kentucky-high-school-shooting/uncategorized/u-s-news-breaking-news-and-latest-headlines/ Tue, 23 Jan 2018 14:52:50 +0000 https://www.huffingtonpost.com/entry/school-shooting-kentucky-high-schol_us_5a674a04e4b002283006c1ed?section=us_us-news A sheriff's deputy captured the 15-year-old suspect.

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GOP Senator Throws ‘Talking Stick’ During Shutdown Meeting, Breaks Glass Elephant http://humanity.press/gop-senator-throws-talking-stick-during-shutdown-meeting-breaks-glass-elephant/uncategorized/u-s-news-breaking-news-and-latest-headlines/ Tue, 23 Jan 2018 12:53:35 +0000 https://www.huffingtonpost.com/entry/talking-stick-gop-shutdown-meeting-glass-elephant_us_5a66fd04e4b0022830060a93?section=us_us-news "Nicely Symbolic."

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‘Spokespuppet’ Kellyanne Conway Celebrates Trumpaversary With Jimmy Kimmel http://humanity.press/spokespuppet-kellyanne-conway-celebrates-trumpaversary-with-jimmy-kimmel/uncategorized/u-s-news-breaking-news-and-latest-headlines/ Tue, 23 Jan 2018 12:13:12 +0000 https://www.huffingtonpost.com/entry/kellyanne-conway-jimmy-kimmel-donald-trump-spokespuppet_us_5a670e68e4b0dc592a0c2a34?section=us_us-news "We’re drinking delicious Trump Vodka and getting s***holed."

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The working relationship between AIs and humans isn’t master/slave http://humanity.press/the-working-relationship-between-ais-and-humans-isnt-master-slave/uncategorized/mike-loukides/ Tue, 23 Jan 2018 12:00:00 +0000 http://humanity.press/?guid=42dc949fe3c8568b72048ef80e8269aa We need a new model for how AI systems and humans interact.A recent article claimed that humans don't trust results from AI systems—specifically, IBM's Watson. They gave the example of a cancer doctor planning a course of a treatment. If the AI agrees ...

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We need a new model for how AI systems and humans interact.

A recent article claimed that humans don't trust results from AI systems—specifically, IBM's Watson. They gave the example of a cancer doctor planning a course of a treatment. If the AI agrees with the doctor's plan, well, that's to be expected. If the AI disagrees with the doctor's treatment, the doctor assumes that it's "incompetent." Whether the doctor's analysis is based on careful reasoning or instinct, doctors went with their assumptions, rather than an opinion coming from the outside. It seems like a situation where the AI can't win.

This isn't terribly surprising, for better or for worse. At least as stated, I don't think the problem will change. And perhaps it shouldn't because we're expecting the wrong thing from the AI.

Several years ago—shortly after Watson beat the Jeopardy champions—IBM invited me to an event where they showed off Watson's capabilities. What impressed me at the demo wasn't its ability to beat humans, but that fact that it could tell you why it came to a conclusion. While IBM hadn't yet developed the user interface (which was irrelevant to Jeopardy), Watson could show probabilities that each potential answer (sorry, each potential question) was correct, based on the facts that supported each possible answer. To me, that's really where the magic happened. Seeing the rationale behind the result raised the possibility of having an intelligent conversation with an AI.

I don't know whether IBM continued to develop this feature. Watson in 2017 certainly differs from the Watson that won Jeopardy. But the ability to expose the rationale behind a recommendation is certainly a key to the problem of trust, whether the application is medicine, agriculture, finance, or something else.

Let's change the doctor's problem slightly. Instead of an AI, imagine another doctor came in on a consult and offered a differing opinion. Would that doctor say, "you're wrong; here's what I think; I'm not going to tell you why; if you disagree, that's up to you."? I don't think so—and if that did happen, I wouldn't be at all surprised if the first doctor stuck with the original treatment plan and dismissed the consulting doctor as incompetent. (And as a jerk.)

But that's precisely the position in which we put our AI systems. We expect them to be oracles. We expect them to make a recommendation, and expect that doctor to implement that recommendation. That's not how it works with human doctors, and that's not how it should work with AI.

In real life, I would expect the doctors to have a discussion about what the treatment should be, comparing their thought processes in arriving at their recommendations. And I'd expect them to arrive at a better result. The irony is that, while you can't spend a day without reading several articles about the problem of the inscrutability of AI, IBM had this problem solved back in the days of Jeopardy. (And yes, it's an easier problem to solve with a system like the original Watson, and a much tougher problem for deep learning.)

The issue in medicine isn't whether treatment A is better than treatment B; it's all about the underlying rationale. Did the second doctor take into account factors that the first didn't notice? Does the first doctor have a better understanding of the patient's history? Does something in the patient suggest that the problem isn't what it seems, and that a completely different diagnosis might be correct? That's a discussion that human doctors can have with each other, and that they might be able to have with a machine.

I'm not writing another article saying, "we need AI that can explain itself." We already know that. We need something different: we need a new model for how AI systems and humans interact. Whether we're talking about doctors, lawyers, engineers, Go players, or taxi drivers, we shouldn't expect AI systems to give us unchallengeable answers ex silico. We shouldn't be told that we need to "trust AI." What's important is the conversation. AI that "explains itself" is only the first step. Humans also need to understand that the AI system's answer isn't absolute or final; it's just another opinion, another consultant, and that the best outcomes are most likely to come from thinking about the answers and the reasoning behind them. The working relationship between AIs and humans isn't master/slave; it's between collaborators. Understanding that relationship properly may be more difficult than the technical challenge of exposing an AI system's reasoning.

AI isn't about supplanting humans; it's about assisting us, making us more capable. That will happen through conversation. That conversation can only happen when we reject the sci-fi notion that AI systems are oracles, and when we learn to challenge them and accept them as collaborators, as we would any other human.

That's not a technical problem. It's a cultural one.

Continue reading The working relationship between AIs and humans isn't master/slave.

All - O'Reilly MediaMike Loukides

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Four short links: 23 January 2018 http://humanity.press/four-short-links-23-january-2018/uncategorized/nat-torkington/ Tue, 23 Jan 2018 11:00:00 +0000 http://humanity.press/?guid=7876b821ce6bbd1858ab3c30766f9108 Facebook Detectron, Near Enemies, Computation for Social Scientists, and JavaScript Treasures

Facebook Detectron -- open source research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. ... The g...

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Facebook Detectron, Near Enemies, Computation for Social Scientists, and JavaScript Treasures

  1. Facebook Detectron -- open source research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. ... The goal of Detectron is to provide a high-quality, high-performance codebase for object detection research. It is designed to be flexible in order to support rapid implementation and evaluation of novel research.
  2. Near Enemies (Pam Fox) -- For example: the near enemy of loving-kindness is conditional love—selfish, sentimental attachment—when you wish well for others only when they make you happy. It’s like when you say “I love ice cream.” You are not wishing well for the ice cream; you are wishing for the ice cream to bring your mouth pleasure. ... Ideally, we could measure very specific metrics that truly capture usefulness. Or perhaps, when we come up with metrics, we can think very hard about what non-desirable outcomes they might accidentally measure (what ways that metric might mislead us), and then make sure we also measure those counter-metrics alongside them. Basically, each metric has near enemies, and those get recorded alongside it. This! Don't just measure what you want to have happen—also measure what mustn't be lost as you aim for the former.
  3. Introducing Computational Methods to Social Scientists (Benjamin Mako Hill) -- we hope that the chapter provides an accessible introduction to computational social science and encourages more social scientists to incorporate computational methods in their work, either by gaining computational skills themselves or by partnering with more technical colleagues. The text and code are available CC BY-NC-SA and GPL v3 respectively.
  4. JavaScript Things I Never Knew Existed -- labels, void, comma, with conditional, internationalization API, pipeline operator, ...

Continue reading Four short links: 23 January 2018.

All - O'Reilly MediaNat Torkington

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Study Finds More Than 9,000 Brothels Masquerading As Legit Businesses http://humanity.press/study-finds-more-than-9000-brothels-masquerading-as-legit-businesses/uncategorized/u-s-news-breaking-news-and-latest-headlines/ Tue, 23 Jan 2018 10:46:12 +0000 https://www.huffingtonpost.com/entry/9000-brothels-masquerade-legit-businesses_us_5a6127d5e4b0125fd6354175?section=us_us-news The "massage parlors" can be fronts for human trafficking, Polaris reports.

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Seth Meyers: Trump Knows Who’s To Blame For The Shutdown (And It’s Not Democrats) http://humanity.press/seth-meyers-trump-knows-whos-to-blame-for-the-shutdown-and-its-not-democrats/uncategorized/u-s-news-breaking-news-and-latest-headlines/ Tue, 23 Jan 2018 09:43:28 +0000 https://www.huffingtonpost.com/entry/seth-meyers-donald-trump-tweet-shutdown_us_5a66ed70e4b0dc592a0bf9eb?section=us_us-news “For each Trump quote, there is an equal and opposite Trump quote."

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Watchdog Group Files Complaint Against Trump Campaign Over Stormy Daniels Payments http://humanity.press/watchdog-group-files-complaint-against-trump-campaign-over-stormy-daniels-payments/uncategorized/u-s-news-breaking-news-and-latest-headlines/ Tue, 23 Jan 2018 06:32:10 +0000 https://www.huffingtonpost.com/entry/common-cause-stormy-daniels-complaint_us_5a66ad04e4b0dc592a0be90a?section=us_us-news The payment "should have been reported" because it was used to influence the election, says Common Cause.

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Heartbroken Locals Hold Candlelight Vigil For Taco Bell That Burned Down http://humanity.press/heartbroken-locals-hold-candlelight-vigil-for-taco-bell-that-burned-down-2/uncategorized/weird-news-bizarre-and-strange-stories/ Tue, 23 Jan 2018 02:30:33 +0000 https://www.huffingtonpost.com/entry/taco-bell-candlelight-vigil_us_5a6679e1e4b0e5630072d2be?section=us_weird-news It’s nacho ordinary vigil.

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CARFIT And CEA Create A Joint Lab On Artificial Intelligence http://humanity.press/carfit-and-cea-create-a-joint-lab-on-artificial-intelligence/uncategorized/kyle-ellicott/ Mon, 22 Jan 2018 22:43:46 +0000 https://readwrite.com/?p=99812

CARFIT and CEA Partner

CARFIT and CEA have signed an agreement to create a joint laboratory focused on Artificial Intelligence related to car vibrations and their interpretation. The lab will bring together teams from the List, a CEA Tech Institute, and from CARFIT to share knowledge and expertise. The joint lab will be dedicated to the development of artificial intelligence... Read more »

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CARFIT and CEA Partner

CARFIT and CEA have signed an agreement to create a joint laboratory focused on Artificial Intelligence related to car vibrations and their interpretation. The lab will bring together teams from the List, a CEA Tech Institute, and from CARFIT to share knowledge and expertise. The joint lab will be dedicated to the development of artificial intelligence methods for identifying signs of mechanical failures exposed by car vibrations.

CARFIT develops technological solutions to simplify mobility, by proposing real-time car monitoring to offer a smart maintenance system, adapted to the driver’s car use. The CARFIT team is comprised of automobile specialists, scientists, and artificial intelligence experts. CARFIT wants to further develop its predictive maintenance expertise by exploiting automobile vibration data analysis.

As a major research player at the national and international level, the CEA fulfills its industry competitiveness mission through CEA Tech, the CEA Technological Research Division. More specifically, the List institute carries out research on smart digital systems. The List’s teams already lead research projects on in-vehicle systems, interactive systems, and sensors and signal processing. As a Carnot institute (TN@UPSaclay), the List’s collaboration with CARFIT joins Carnauto spinneret action to strengthen competitiveness and attractiveness of the companies of the automotive domain by facilitating their access to the innovation.

The activities of CARFIT and CEA are thus complementary, enabling a fruitful collaboration on automobile predictive maintenance by vibration analysis. The two partners have therefore agreed to conduct a common R&D, leading to the design and development of optimized, innovative solutions of predictive maintenance for light-duty vehicles (authorized loaded weight not to exceed 3.5 tons).

“As an autotech startup, the creation of a joint lab with the CEA is a key milestone for CARFIT. This lab will extend our capabilities in Artificial Intelligence beyond what we could have done alone and opens up opportunities within the automotive ecosystem already in collaboration with the CEA.” says Nicolas OLIVIER – CEO of CARFIT.

“The List institute contributes to the automotive revolution through the autonomous and connected car and the development of digital services.” declares Philippe Watteau, Directeur de l’Institut List. “The Artificial Intelligence is at the heart of this revolution and our collaboration with CARFIT is going to open the way to the maintenance of tomorrow which will be predictive and as a service.”

This cooperation opens the way to the development of innovative architecture taking advantage of the deep learning to improve the diagnostic accuracy, to anticipate the failures and to maximize the mechanical defect coverage of vehicle components by vibration analysis.

Disclaimer: CARFIT is an alumnus of our ReadWrite Labs accelerator program. Kyle Ellicott is also an advisor to the company.

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ReadWriteKyle Ellicott https://readwrite.com

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