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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?

Comments
Hoyt commented on 11-Jan-2019 03:28 PM
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Eldora Ellinghuysen commented on 12-Jan-2019 06:23 AM
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Hey! This post could not be written any better! Reading this post
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What's up everyone, it's my first go to see at this web
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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
Hoyt commented on 11-Jan-2019 03:28 PM
You have brought up a very good details , thankyou for the post.
Kayleen commented on 11-Jan-2019 03:43 PM
Thank you for sharing excellent informations. Your web site is so cool. I'm impressed by the details that you've on this site. It reveals how nicely you perceive this subject. Bookmarked this website page, will come back for extra articles. You, my friend, ROCK! I found simply the info I already searched everywhere and just couldn't come across. What a great web site.
daftar sbobet melalui hp commented on 11-Jan-2019 04:02 PM
Quality posts is the crucial to be a focus for the viewers to pay a visit the web site,
that's what this web site is providing.
Bryce commented on 11-Jan-2019 05:27 PM
Appreciate it for helping out, excellent info. "If you would convince a man that he does wrong, do right. Men will believe what they see." by Henry David Thoreau.
engel02balling.phpground.net commented on 11-Jan-2019 05:51 PM
Hello, this weekend is nice for me, as this moment i am reading this
great educational piece of writing here at my residence.
pdf suchen commented on 11-Jan-2019 08:16 PM
The color of your blog is quite great. i would love to have those colors too on my blog.”;:-`
pdf suchen commented on 11-Jan-2019 08:47 PM
I am glad to be a visitant of this staring web blog, regards for this rare information!
카지노게임사이트 commented on 11-Jan-2019 09:14 PM
Make the content in regards to the reader.
pdf schutz entfernen commented on 12-Jan-2019 01:16 AM
Wonderful blog. I think we need to talk as i want to hire you.
pdf schreibschutz entfernen commented on 12-Jan-2019 02:03 AM
Youre so cool! I dont suppose Ive read anything in this way just before. So nice to uncover somebody by original applying for grants this subject. realy i appreciate you for beginning this up. this fabulous website is something that is needed on the web, a person with a bit of originality. helpful project for bringing something totally new for the world wide web!
pdf entschlüsseln commented on 12-Jan-2019 05:54 AM
I am so happy to read this. This is the kind of manual that needs to be given and not the random misinformation that’s at the other blogs. Appreciate your sharing this greatest doc.
125$ в рублях commented on 12-Jan-2019 06:05 AM
Its like you read my mind! You seem to know a lot about this, like you wrote the book in it or something. I think that you can do with a few pics to drive the message home a little bit, but other than that, this is great blog. An excellent read. I will certainly be back.
Eldora Ellinghuysen commented on 12-Jan-2019 06:23 AM
You really make it seem so easy with your presentation but I find this topic to be really something that I think I would never understand. It seems too complex and extremely broad for me. I'm looking forward for your next post, I will try to get the hang of it!|
xem bong da truc tiep commented on 12-Jan-2019 06:38 AM
Many of these shows are operating out of bigger cities like New York or Los
Angeles, so that you be able to travel free of charge when you get in the finals.
It took about three months to understand what along
with the raucous, discordant (to my ears) "melody. You need a special connector typically termed as a Fire wire or commonly known as as a possible IEEE 1394 high band connector.
토토사이트 commented on 12-Jan-2019 08:37 AM
At this time it looks like Expression Engine is the
top blogging platform토토사이트
out there right now

Winston commented on 12-Jan-2019 10:29 AM
Very good page, Maintain the excellent work.
thnx!

my blog -best weight loss tips
passwort knacken commented on 12-Jan-2019 12:43 PM
That appears to be excellent however i am still not too sure that I like it. At any rate will look far more into it and decide personally!
pdf schutz aufheben commented on 12-Jan-2019 03:43 PM
I like the efforts you have put in this, thank you for all the great blog posts.
unlock pdf commented on 12-Jan-2019 04:05 PM
You can also put a chatbox on your blog for more interactivity among readers.*.,”,
passwort entschlüsseln commented on 12-Jan-2019 10:09 PM
One other important area is that if you are a senior citizen, travel insurance regarding pensioners is something you ought to really contemplate. The old you are, greater at risk you are for allowing something awful happen to you while in foreign countries. If you are not covered by many comprehensive insurance, you could have a number of serious challenges. Thanks for expressing your hints on this website.
slot v официальный сайт commented on 12-Jan-2019 11:16 PM
Hey There. I found your blog using msn. This is a very well written article. I?ll be sure to bookmark it and come back to read more of your useful information. Thanks for the post. I will definitely return.
Hey! This post could not be written any better! Reading this post
reminds me of my good old room mate! He always kept talking about this.
I will forward this write-up to him. Pretty sure he will have a good
read. Many thanks for sharing!
What's up everyone, it's my first go to see at this web
page, and article is actually fruitful designed for me, keep up posting these articles.

Post a Comment




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