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Can we unlock the Deep Learning black box?

Troy Sadkowsky - Wednesday, June 28, 2017

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Can we unlock the Deep Learning black box?

Artificial intelligence has experienced a boom in recent years due to the increasing automation and generation of big data. Due to deep learning and artificial neural networks, machines are acquiring new perceptual abilities, such as recognizing images, speech, or reading handwriting, paving the way for an infinite number of new applications in human lives. However, this leap forward in AI processing comes at a cost – the reasoning behind the choices that deep learning networks make has become inscrutable to the engineers that built them.

Progress in automated vision greatly benefits from deep learning because general visual processing is far too complex to code by hand. A program that can learn by observing human example or through complicated training sets, and can generate its own algorithms through an interconnected network of a dozen to several hundred layers of simulated neurons, positions us that much closer to a self-driving car, or other AI programs capable of sophisticated automated decision-making. But if we cannot understand a program’s individual decisions – why it chose to drive into a tree, why a patient’s medications should be changed, why one individual was hired for the job and another flagged as a terrorist – what ethical and moral boundaries are we crossing? And if an artificial intelligence program is not 100% accurate, as they rarely are, what are the dangers of putting ourselves at the mercy of a machine’s mistakes?

According to an article in MIT Technology Review (https://www.technologyreview.com/s/604087/the-dark-secret-at-the-heart-of-ai/), trust will be a key factor in future applications of deep learning. Once machines can explain their reasoning to humans, we will better be able to learn from and act on their insights. Research is underway to develop tools for machine learning programs to be able to explain themselves. Regina Barzilay, at MIT, is developing a system that can collaborate with doctors by extracting snippets of text that represent patterns it has discover, and Carlos Guestrin’s system, from the University of Washington, highlights significant keywords or parts of an image to support a particular decision.

However, interpretable deep learning is far off, and even then, explanations offered by machines will always be simplified to a degree, which will always make trusting machine learning programs controversial. As a consequence, the European Union might soon pass legislation to make explanations for automated decisions a fundamental legal right, required of the companies that implement AI machine programs.

Jeff Clune, an investigator at the University of Wyoming testing deep neural networks, offers that, just as with human intelligence and decision-making, it is perhaps “the nature of intelligence that only part of it is exposed to rational explanation. Some of it is just instinctual, or subconscious, or inscrutable”. As deep learning offers more appealing possibilities in medicine, technology and other industries, when and should, society take the deep learning leap of faith?

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Can we unlock the Deep Learning black box?

Troy Sadkowsky - Wednesday, June 28, 2017

p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Times; color: #000000; -webkit-text-stroke: #000000} p.p2 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Times; color: #000000; -webkit-text-stroke: #000000; min-height: 14.0px} span.s1 {font-kerning: none} span.s2 {text-decoration: underline ; font-kerning: none; color: #0000ff; -webkit-text-stroke: 0px #0000ff}

Can we unlock the Deep Learning black box?

Artificial intelligence has experienced a boom in recent years due to the increasing automation and generation of big data. Due to deep learning and artificial neural networks, machines are acquiring new perceptual abilities, such as recognizing images, speech, or reading handwriting, paving the way for an infinite number of new applications in human lives. However, this leap forward in AI processing comes at a cost – the reasoning behind the choices that deep learning networks make has become inscrutable to the engineers that built them.

Progress in automated vision greatly benefits from deep learning because general visual processing is far too complex to code by hand. A program that can learn by observing human example or through complicated training sets, and can generate its own algorithms through an interconnected network of a dozen to several hundred layers of simulated neurons, positions us that much closer to a self-driving car, or other AI programs capable of sophisticated automated decision-making. But if we cannot understand a program’s individual decisions – why it chose to drive into a tree, why a patient’s medications should be changed, why one individual was hired for the job and another flagged as a terrorist – what ethical and moral boundaries are we crossing? And if an artificial intelligence program is not 100% accurate, as they rarely are, what are the dangers of putting ourselves at the mercy of a machine’s mistakes?

According to an article in MIT Technology Review (https://www.technologyreview.com/s/604087/the-dark-secret-at-the-heart-of-ai/), trust will be a key factor in future applications of deep learning. Once machines can explain their reasoning to humans, we will better be able to learn from and act on their insights. Research is underway to develop tools for machine learning programs to be able to explain themselves. Regina Barzilay, at MIT, is developing a system that can collaborate with doctors by extracting snippets of text that represent patterns it has discover, and Carlos Guestrin’s system, from the University of Washington, highlights significant keywords or parts of an image to support a particular decision.

However, interpretable deep learning is far off, and even then, explanations offered by machines will always be simplified to a degree, which will always make trusting machine learning programs controversial. As a consequence, the European Union might soon pass legislation to make explanations for automated decisions a fundamental legal right, required of the companies that implement AI machine programs.

Jeff Clune, an investigator at the University of Wyoming testing deep neural networks, offers that, just as with human intelligence and decision-making, it is perhaps “the nature of intelligence that only part of it is exposed to rational explanation. Some of it is just instinctual, or subconscious, or inscrutable”. As deep learning offers more appealing possibilities in medicine, technology and other industries, when and should, society take the deep learning leap of faith?

Comments
Elease Hollinrake commented on 12-Oct-2018 02:49 AM
Even though We came up through this web site, My partner and i remarked that not merely can be my own computer not necessarily demonstrating the particular Feed correct though the one inch the kitchen at home is just too… Oh as well as webe gas grills master
Lashawn commented on 12-Oct-2018 03:09 AM
Thanks for furnishing these kinds of good subject matter.


Also visit my weblogminecraft free download 2018
Jeff Duitscher commented on 12-Oct-2018 03:38 AM
Nice blog here! Additionally your website loads up very fast! What web host are you the usage of? Can I am getting your associate link on your host? I wish my website loaded up as quickly as yours lol
Teri Milbrett commented on 12-Oct-2018 03:38 AM
Hello there, just became alert to your blog through Google, and found that it’s truly informative. I’m gonna watch out for brussels. I will appreciate if you continue this in future. A lot of people will be benefited from your writing. Cheers!
Tiffiny Gramham commented on 12-Oct-2018 03:38 AM
I agreed with your conclusions and seeking impatience to future upgrades. The value and meaning is vast and has been invaluable for myself!
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تسديد قروض commented on 12-Oct-2018 04:24 PM
I think that what you said made a bunch of sense. But, what about this?
what if you were to create a awesome title? I mean, I don't want to tell you how to run your website, however what if you added something to possibly grab folk's attention? I mean Can we unlock the Deep Learning black box?
is kinda vanilla. You might look at Yahoo's front page and
note how they create post titles to get viewers to open the
links. You might add a video or a related picture or two to grab readers interested about what you've written. Just my opinion, it might make your
website a little bit more interesting.
custom festival wristbands commented on 12-Oct-2018 05:24 PM
Appreciate this post. Will try it out. https://www.silicone-wristbands.co.uk
I think that everything said was very reasonable.
But, consider this, what if you were to create a killer title?
I ain't saying your content isn't solid, however suppose you added a post title that makes people want
more? I mean Can we unlock the Deep Learning black box?

is kinda boring. You could glance at Yahoo's front page and see how they create post titles
to grab people interested. You might try adding a video or a pic or two
to get people interested about what you've got to say.

In my opinion, it could bring your posts a little livelier.
forex forum commented on 12-Oct-2018 05:59 PM
I needed to thank you for this great read!! I certainly enjoyed every little bit of it.
I have you saved as a favorite to look at new stuff you post…
Melisa commented on 12-Oct-2018 06:06 PM
Many thanks, this tinder dating site is extremely valuable.
แทงบอลออนไลน์ commented on 12-Oct-2018 06:33 PM
I don't know whether it's just me or if perhaps everybody else encountering issues with your blog.
It appears as though some of the written text in your posts are running off the
screen. Can someone else please provide feedback and let me know if this is happening to them too?
This could be a issue with my web browser because I've had this happen previously.
Many thanks
Johnathon Metheny commented on 12-Oct-2018 09:39 PM
Also true the world over, if it seems like too good of a deal that might be a warning sign. These are professional ladies who take themselves, and their skills, very seriously. To put it more simply, you get what you pay for!
soi keo commented on 12-Oct-2018 11:20 PM
Does your website have a contact page? I'm having
trouble locating it but, I'd like to shoot you an email.
I've got some creative ideas for your blog you might
be interested in hearing. Either way, great website and I look
forward to seeing it develop over time.
cvvshoplv commented on 13-Oct-2018 02:09 AM
Today, while I was at work, my cousin stole my iPad and
tested to see if it can survive a 40 foot drop, just so she can be a youtube sensation. My iPad
is now destroyed and she has 83 views. I
know this is completely off topic but I had to share it with someone!
Very great post. I simply stumbled upon your blog and wished
to mention that I've really loved surfing around your weblog posts.

In any case I'll be subscribing on your feed and I'm hoping you write again very soon! https://tzm.vn/tin-tuc/tag/hoc-thanh-nhac-bao-nhieu-tien
mind Body healing therapies commented on 13-Oct-2018 12:55 PM
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the good work fellows.
jakcom smart ring r3 commented on 13-Oct-2018 01:56 PM
Why viewers still make use of to read news papers when in this technological globe all is accessible on net?

Post a Comment




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