TED2018
James Bridle: The nightmare videos of children's YouTube -- and what's wrong with the internet today
جه‌یمس بڕیدڵ: خه‌ونی ناخۆشی منداڵان له یوتیوب و كاریگه‌رییە هەنوکەییە خراپەکانی ئینته‌رنێت
Filmed:
Readability: 4.1
5,404,429 views
نوسه‌ر و هونه‌رمه‌ند جه‌یمس بڕیدڵ باس له لایه‌نی خراپ و نه‌رێنی ئینته‌رنێت ده‌كات، لەگەڵ كاریگه‌ریان له‌سه‌ر منداڵان. كاتێك كۆمه‌ڵێك خه‌ڵكی نه‌ناسراو ده‌كه‌ونه هاك كردنی مێشكی مناداڵان له‌ڕێگەی دانانی چه‌ند ڤیدیۆیه‌كه‌وه. كاتێك له
ڤیدیۆیی "هێلكه‌ی سه‌رسامی" و "گۆرانی په‌نجه‌ی خێزانی" به جۆر و شێوه‌ی جیاوازی نه‌رێنی كارێكته‌ری منداڵان دروست ده‌كه‌ن. له ڤیدیۆكانیان و ڕێگه‌ی توندوتیژی به‌كارده‌هێنن، ئه‌و جۆره ڤیدیۆیانه مه‌ترسی له‌سه‌ر مێشكی منداڵان دروسده‌كه‌ن و ئه‌وه‌ش كاریگه‌ری و مه‌ترسی ئیته‌رنێت ده‌رده‌خات. "پێویست ناكات بۆ چاره‌سه‌ركردنی هه‌موو كێشه‌كان بیر له ته‌كنه‌لۆجیا بكه‌ینه‌وه پێویسته وه‌ك ڕێنیشانده‌رێك ته‌كنه‌لۆجیا به‌كاربهێنین له دیاریكردنی كێشه‌كان، پێویسته به‌ته‌واوی بیر له كێشه‌كان بكرێته‌وه و ناو و ناونیشانی بۆ دابنرێت،"
جه‌یمس واده‌ڵێ.
James Bridle - Artist, writer
Working across technologies and disciplines, James Bridle examines technology, knowledge and the end of the future. Full bio
Working across technologies and disciplines, James Bridle examines technology, knowledge and the end of the future. Full bio
Double-click the English transcript below to play the video.
من
.جه‌یمسم
.جه‌یمسم
00:12
I'm James.
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00:13
I'm a writer and artist,
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نوسه‌رو هونه‌رمه‌ندم
00:15
and I make work about technology.
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.و لە بواری ته‌كنه‌لۆجیا كار ده‌كه‌م
00:18
I do things like draw life-size outlines
of military drones
of military drones
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وێنەی ئامێرە سەربازییەکان دەکێشم
00:22
in city streets around the world,
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،له شه‌قامه‌كانی شارەکانیی جیهان
00:24
so that people can start to think
and get their heads around
and get their heads around
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بۆ ئەوەی خەڵک بیربكه‌نه وه و
سەیری ده‌وروبه‌ریان بكه‌ن بۆ
سەیری ده‌وروبه‌ریان بكه‌ن بۆ
00:27
these really quite hard-to-see
and hard-to-think-about technologies.
and hard-to-think-about technologies.
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ئەو تەکنەلۆژیایەی کە قورسە
.ببینرێت و بیری لێبکرێتەوە
.ببینرێت و بیری لێبکرێتەوە
00:31
I make things like neural networks
that predict the results of elections
that predict the results of elections
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شه‌به‌كه‌ی نیوراڵ دروست ده‌كه‌م
كه ئه‌نجامی هه‌ڵبژاردن پێشبینی ده‌كات
كه ئه‌نجامی هه‌ڵبژاردن پێشبینی ده‌كات
00:35
based on weather reports,
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،له‌سه‌ر بنه‌مای ڕاپۆرتی ئاو هه‌وا
00:37
because I'm intrigued about
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چونكه خۆم بۆ مەڵاس دابوو
00:38
what the actual possibilities
of these weird new technologies are.
of these weird new technologies are.
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ئه‌گه‌ره ڕاسته‌قینه‌كانی
.ئه‌و ته‌كنه‌لۆجیا سه‌یرانه چین
.ئه‌و ته‌كنه‌لۆجیا سه‌یرانه چین
00:43
Last year, I built
my own self-driving car.
my own self-driving car.
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پار، ئۆتۆمبێلێکی خۆلێخۆری
.تایبەت بە خۆم دروست کرد
.تایبەت بە خۆم دروست کرد
00:45
But because I don't
really trust technology,
really trust technology,
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به‌ڵام له‌به‌رئه‌وه‌ی بڕوام
،به ته‌كنه‌لۆجیا نییه
،به ته‌كنه‌لۆجیا نییه
00:48
I also designed a trap for it.
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.ته‌لێكم بۆی دروستكرد
00:50
(Laughter)
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(پێكه‌نین)
00:51
And I do these things mostly because
I find them completely fascinating,
I find them completely fascinating,
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زۆر کات ئه‌و شتانه ده‌كه‌م چونكه چێژێکی
،ته‌واوی لێ دەبینم
،ته‌واوی لێ دەبینم
00:56
but also because I think
when we talk about technology,
when we talk about technology,
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به‌ڵام پێموایه کاتێک سەبارەت
،بە ته‌كنه‌لۆجیا ده‌دوێین
،بە ته‌كنه‌لۆجیا ده‌دوێین
00:58
we're largely talking about ourselves
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به‌زۆری ده‌رباره‌ی خۆمان دەدوێین
01:01
and the way that we understand the world.
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.و چۆن لە جیهان تێدەگەین
01:03
So here's a story about technology.
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چیرۆكێك ده‌رباره‌ی ته‌كنه‌لۆجیا
.هه‌یه
.هه‌یه
01:07
This is a "surprise egg" video.
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.ئه‌وه ڤیدیۆی " هێلكه‌ی سه‌رسامکار"ه
01:10
It's basically a video of someone
opening up loads of chocolate eggs
opening up loads of chocolate eggs
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ڤیدیۆی كه‌سێكه
هێلكه چوكلاتیه‌كانی ده‌كاته‌وه
هێلكه چوكلاتیه‌كانی ده‌كاته‌وه
01:13
and showing the toys inside to the viewer.
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له ناویدا یاری یپێشانی بینه‌ران
.ده‌دات
.ده‌دات
01:16
That's it. That's all it does
for seven long minutes.
for seven long minutes.
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تەواو. بۆ حه‌وت
.خوله‌ك تەها ئەوەندە ده‌كات
.خوله‌ك تەها ئەوەندە ده‌كات
01:19
And I want you to notice
two things about this.
two things about this.
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.ده‌مه‌وێ لێره‌دا تێبینی دوو شت بكه‌ن
01:22
First of all, this video
has 30 million views.
has 30 million views.
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پێش هه‌موشت، ئه‌و ڤیدیۆیه
.٣٠ملیۆن بینه‌ری هه‌یه
.٣٠ملیۆن بینه‌ری هه‌یه
01:26
(Laughter)
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(پێكه‌نین)
01:28
And the other thing is,
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،شته‌كه‌ی دیكه‌ش
01:29
it comes from a channel
that has 6.3 million subscribers,
that has 6.3 million subscribers,
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له كه‌ناڵێكه‌وه وه‌رگیراوه
،٦.٣ ملیۆن سەبسکرایبەری هه‌یه
،٦.٣ ملیۆن سەبسکرایبەری هه‌یه
01:33
that has a total of eight billion views,
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و بینه‌ری سه‌رجەم
،ڤیدیۆکانی هه‌شت بلیۆنه
،ڤیدیۆکانی هه‌شت بلیۆنه
01:36
and it's all just more videos like this --
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و زۆر ڤیدیۆی تری هاوشێوه‌ی ئه‌وه‌ی تیایە
01:40
30 million people watching a guy
opening up these eggs.
opening up these eggs.
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٣٠ملیۆن خه‌ڵك سه‌یری ئه‌و
.كوڕه ده‌كات كه هێلكه‌كه ده‌كاته‌وه
.كوڕه ده‌كات كه هێلكه‌كه ده‌كاته‌وه
01:44
It sounds pretty weird, but if you search
for "surprise eggs" on YouTube,
for "surprise eggs" on YouTube,
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ئه‌وه سه‌یر ده‌رده‌كه‌وێت، به‌ڵام ئه‌گه‌ر
،له یوتیوب بۆ"هێلكه‌ی سه‌رسامی" بگه‌ڕێیت
،له یوتیوب بۆ"هێلكه‌ی سه‌رسامی" بگه‌ڕێیت
01:48
it'll tell you there's
10 million of these videos,
10 million of these videos,
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ئه‌وا ١٠ ملیۆن
،له‌و جۆره ڤیدیۆیانه‌ت پێده‌ڵێت
،له‌و جۆره ڤیدیۆیانه‌ت پێده‌ڵێت
01:52
and I think that's an undercount.
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وا بزانم ڕوو له زیاد
.بوونه
.بوونه
01:53
I think there's way, way more of these.
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.پێموایه ڕێگەی زیاتر بۆ ئه‌وه هه‌یه
01:55
If you keep searching, they're endless.
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.ئه‌گه‌ر به‌دوای بگه‌ڕێی، بێ كۆتان
01:58
There's millions and millions
of these videos
of these videos
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ملیۆنان و ملیۆنان ڤیدیۆی ئاوا
02:00
in increasingly baroque combinations
of brands and materials,
of brands and materials,
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،كه ڕێژەیەکی زۆر مارکە و مادەی هه‌یه
02:03
and there's more and more of them
being uploaded every single day.
being uploaded every single day.
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و زیاترو زیاتر له‌وجۆرانه
.ڕۆژانه بڵاو ده‌كرێنه‌و
.ڕۆژانه بڵاو ده‌كرێنه‌و
02:07
Like, this is a strange world. Right?
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ئه‌وه جیهانێكی سه‌یره، ڕاسته؟
02:11
But the thing is, it's not adults
who are watching these videos.
who are watching these videos.
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به‌ڵام شتكه ئه‌وه‌یه، ئه‌وانه‌ی
.سه‌یری ده‌كه‌ن گەورە نین
.سه‌یری ده‌كه‌ن گەورە نین
02:14
It's kids, small children.
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منداڵن، منداڵی
.بچوك
.بچوك
02:17
These videos are
like crack for little kids.
like crack for little kids.
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.ئه‌و ڤیدیۆیانه بۆ منداڵ شتێکی خۆشە
02:19
There's something about the repetition,
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،شتێك هه‌یه ده‌رباره‌ی دوباره‌كردنه‌وه
02:21
the constant little
dopamine hit of the reveal,
dopamine hit of the reveal,
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،گەڕانەوەی پێشی سەرشێتانەی ڤیدیۆکان
02:24
that completely hooks them in.
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.ئه‌وانه به‌شێوه‌یه‌كی گشتی ئالودەن
02:26
And little kids watch these videos
over and over and over again,
over and over and over again,
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منداڵی بچوك ئه‌و ڤیدیۆیانه
،چه‌ند جارێك دوباره سه‌یر ده‌كه‌ن
،چه‌ند جارێك دوباره سه‌یر ده‌كه‌ن
02:31
and they do it for hours
and hours and hours.
and hours and hours.
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بۆ چه‌ند كاتژمێرێك و
.كاتژمێرێك ئه‌وه ده‌كه‌ن
.كاتژمێرێك ئه‌وه ده‌كه‌ن
02:33
And if you try and take
the screen away from them,
the screen away from them,
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،ئه‌گه‌ر تۆ شاشه‌كه‌یان لێ بگۆڕی
02:35
they'll scream and scream and scream.
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هاوار ده‌كه‌ن وهاوار
.ده‌كه‌ن
.ده‌كه‌ن
02:37
If you don't believe me --
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ئه‌گه‌ر بڕوا به‌من ناكه‌ی
02:38
and I've already seen people
in the audience nodding --
in the audience nodding --
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خه‌ڵكم بینیوه له
ئاماده‌بووه‌كان سه‌ر ده‌له‌قێنن
ئاماده‌بووه‌كان سه‌ر ده‌له‌قێنن
02:41
if you don't believe me, find someone
with small children and ask them,
with small children and ask them,
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ئه‌گه‌ر باوه‌ڕناكه‌ی له منداڵێك
،و كه‌سێك بپرسه
،و كه‌سێك بپرسه
02:44
and they'll know about
the surprise egg videos.
the surprise egg videos.
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و ده‌رباره‌ی ڤیدیۆی
.هێلكه‌ی سه‌رسامی ده‌زانن
.هێلكه‌ی سه‌رسامی ده‌زانن
02:47
So this is where we start.
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.لێرەوە دەستپێدەکەین
02:49
It's 2018, and someone, or lots of people,
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،ئه‌وه ٢٠١٨ یه، كه‌سێك یا چه‌ندین كه‌س
02:53
are using the same mechanism that, like,
Facebook and Instagram are using
Facebook and Instagram are using
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هه‌مان ڕێچکە، وه‌ك، فه‌یسبوك
و ئینستگرام به‌كار دێنن
و ئینستگرام به‌كار دێنن
02:56
to get you to keep checking that app,
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،تا به‌رده‌وام به‌رنامه‌كه به‌كاربێنن
02:58
and they're using it on YouTube
to hack the brains of very small children
to hack the brains of very small children
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و له یوتیوب به‌كاری دێنن تا
مێشكی منداڵی بچوك هاك بكه‌ن
مێشكی منداڵی بچوك هاك بكه‌ن
03:02
in return for advertising revenue.
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.بۆ بەدەست هێنانی قازانج لە رێگەی رێکلام
به‌لایه‌نی كه‌مەوە
.هیوا ده‌خوازم ئەم کارە بکەن
.هیوا ده‌خوازم ئەم کارە بکەن
03:06
At least, I hope
that's what they're doing.
that's what they're doing.
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03:08
I hope that's what they're doing it for,
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،هیوا ده‌خوازم بۆ قازانج ئەم کارە بکەن
03:10
because there's easier ways
of making ad revenue on YouTube.
of making ad revenue on YouTube.
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چونكه ڕێگەی ئاسانتر له یوتیوب
.بۆ بەدەست هێنانی داهات ڕیكلام هەیە
.بۆ بەدەست هێنانی داهات ڕیكلام هەیە
03:15
You can just make stuff up or steal stuff.
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.ده‌توانی شته‌كان دروست بکەی یا بیدزی
03:18
So if you search for really
popular kids' cartoons
popular kids' cartoons
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ئه‌گه‌ر به‌دوای كارتۆنی
به‌ناوبانگی منداڵان بگه‌ڕێی
به‌ناوبانگی منداڵان بگه‌ڕێی
03:20
like "Peppa Pig" or "Paw Patrol,"
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،"وه‌ك "پیپا پیگ" یا "پاو پتڕۆڵ
03:22
you'll find there's millions and millions
of these online as well.
of these online as well.
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هه‌روه‌ها به ملیۆنه‌ها
.ڤیدیۆی سەرهێڵی ده‌دۆزیه‌وه
.ڤیدیۆی سەرهێڵی ده‌دۆزیه‌وه
03:25
Of course, most of them aren't posted
by the original content creators.
by the original content creators.
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بێگومان، زۆیان له‌لایه‌ن دروستكه‌ری
.سه‌ره‌كی بڵاو نه‌كراونه‌ته‌وه
.سه‌ره‌كی بڵاو نه‌كراونه‌ته‌وه
03:28
They come from loads and loads
of different random accounts,
of different random accounts,
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له ئه‌كاونته هه‌ڕه‌مه‌كه
،جیاوازه‌كانه‌وه دێن
،جیاوازه‌كانه‌وه دێن
03:31
and it's impossible to know
who's posting them
who's posting them
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كه مه‌حاڵه بزانی كێ بڵاویان ده‌كاته‌وه
03:34
or what their motives might be.
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.و پاڵنه‌ره‌كه‌یان چییه
03:36
Does that sound kind of familiar?
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ئاشنان بەمە؟
03:38
Because it's exactly the same mechanism
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چونكه ئه‌وه هه‌مان میكانزمه
03:40
that's happening across most
of our digital services,
of our digital services,
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كه له خزمه‌تگوزاری ژمێریاری
،زۆربه‌مان ڕووده‌دات
،زۆربه‌مان ڕووده‌دات
03:43
where it's impossible to know
where this information is coming from.
where this information is coming from.
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ئەستەمە بزانیت ئه‌و
.زانیاریانه له‌كوێوه دێن
.زانیاریانه له‌كوێوه دێن
03:46
It's basically fake news for kids,
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،هه‌واڵێكی فێڵاویه بۆ منداڵ
03:48
and we're training them from birth
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و ڕاهینانیان پێده‌كه‌ین
له له‌دایك بوونه‌وه
له له‌دایك بوونه‌وه
03:50
to click on the very first link
that comes along,
that comes along,
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بۆئه‌وه‌ی كلیك له‌سه‌ریه‌كه‌م لینك
،بكات دیته پێشی
،بكات دیته پێشی
03:52
regardless of what the source is.
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.به‌بێ گوێدان به‌سه‌رچاوه‌كه‌ی
03:54
That's doesn't seem like
a terribly good idea.
a terribly good idea.
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.له‌وه ناچێت ئه‌وه بیرۆكه‌یه‌كی باش بێت
03:58
Here's another thing
that's really big on kids' YouTube.
that's really big on kids' YouTube.
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لێره شتێكی به‌ڕاستی گه‌وره
.هه‌یه له یوتیوبی منداڵ
.هه‌یه له یوتیوبی منداڵ
04:01
This is called the "Finger Family Song."
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."كه پێیده‌ڵێن "گۆرانی په‌نجه‌ی خێزانی
04:03
I just heard someone groan
in the audience.
in the audience.
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.ناڵه‌ی كه‌سێكم بیست له ئاماده‌بوه‌كان
04:05
This is the "Finger Family Song."
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."ئه‌وه"گۆرانی په‌نجه‌ی خێزانیه
04:06
This is the very first one I could find.
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.ئه‌وه یه‌كه‌مه ده‌توانم بیدۆزمه‌وه
04:08
It's from 2007, and it only has
200,000 views,
200,000 views,
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ئه‌وه له‌ساڵی٢٠٠٧، ته‌نها ٢٠٠ هه‌زار
،بینه‌ری هه‌بوو
،بینه‌ری هه‌بوو
04:11
which is, like, nothing in this game.
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.كه وه‌ك هیچ نه‌بێ له‌ناو یاریه‌كه
04:13
But it has this insanely earwormy tune,
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،به‌ڵام تۆنێکی ناخۆشی شێتانەی هه‌یه
04:16
which I'm not going to play to you,
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،من بۆتانی ناژه‌نم
04:18
because it will sear itself
into your brain
into your brain
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چونكه میشك داخ ده‌كات
04:20
in the same way that
it seared itself into mine,
it seared itself into mine,
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،به‌هه‌مان شێوه هی منیش داخ ده‌كات
04:22
and I'm not going to do that to you.
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من ئه‌وه ناكه‌م بۆ
.ئێوە
.ئێوە
04:24
But like the surprise eggs,
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،وه‌ك هێلكه‌ی سه‌رسامی
04:25
it's got inside kids' heads
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ده‌چیته ناو مێشكه‌ی منداڵ
04:27
and addicted them to it.
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.و ئاڵوده‌ی ده‌بن
04:29
So within a few years,
these finger family videos
these finger family videos
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له‌چه‌ند ساڵێكی كه‌مدا
ئه‌م ڤیدۆیی په‌نجه‌ی خێزانییه
ئه‌م ڤیدۆیی په‌نجه‌ی خێزانییه
04:32
start appearing everywhere,
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لە هەموو جێیەک
.بڵاوبووەوە
.بڵاوبووەوە
04:33
and you get versions
in different languages
in different languages
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بە چەند زمانێکی جیاواز
.دەیبینیتەوە
.دەیبینیتەوە
04:35
with popular kids' cartoons using food
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بە بەکارهێنانی خواردن و
.کارتۆنی بەناوبانگ
.کارتۆنی بەناوبانگ
04:37
or, frankly, using whatever kind
of animation elements
of animation elements
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یان، به‌كارهیێنانی هه‌ر
جۆره توخمێكی هه‌ست بزوێن
جۆره توخمێكی هه‌ست بزوێن
04:40
you seem to have lying around.
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.تا درۆبكه‌ن له‌گه‌ڵ ده‌وروبه‌ر
04:43
And once again, there are millions
and millions and millions of these videos
and millions and millions of these videos
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و جارێكی دیكه، ملیۆن و
ملیۆنانی ئه‌م ڤیدۆیانه
ملیۆنانی ئه‌م ڤیدۆیانه
04:48
available online in all of these
kind of insane combinations.
kind of insane combinations.
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به‌رده‌سته له‌هه‌موجۆره
.شته تێكه‌ڵاویه‌كان
.شته تێكه‌ڵاویه‌كان
04:51
And the more time
you start to spend with them,
you start to spend with them,
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له كاتی زیاتر ده‌ستبه‌به‌كار
،هێنانیان ده‌كه‌ی
،هێنانیان ده‌كه‌ی
04:53
the crazier and crazier
you start to feel that you might be.
you start to feel that you might be.
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شێتانه‌و شێتانه ده‌ست پێده‌كه‌ی
.تا هه‌ست بكه‌ی كه‌تۆ له‌وانه‌بیت
.تا هه‌ست بكه‌ی كه‌تۆ له‌وانه‌بیت
04:57
And that's where I
kind of launched into this,
kind of launched into this,
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،وئه‌مه ئه‌وشوێنه‌یه كه ده‌ستم پێكرد
05:01
that feeling of deep strangeness
and deep lack of understanding
and deep lack of understanding
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هەستی نامۆییەکی زۆر و
تێنەگەیشتنێکی زۆر
تێنەگەیشتنێکی زۆر
05:04
of how this thing was constructed
that seems to be presented around me.
that seems to be presented around me.
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كه چۆن ئه‌م شته دروستكرا بۆ
.پیێشكه‌شكردنی ده‌وروبه‌رم
.پیێشكه‌شكردنی ده‌وروبه‌رم
05:08
Because it's impossible to know
where these things are coming from.
where these things are coming from.
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چونكه مه‌حاڵه بزانیت
.ئه‌و شتانه له‌كوێوه دێن
.ئه‌و شتانه له‌كوێوه دێن
05:12
Like, who is making them?
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كێ ئه‌وانه‌ی دروستكردووه؟
05:13
Some of them appear to be made
of teams of professional animators.
of teams of professional animators.
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ده‌رده‌كه‌وێت له‌لایه‌ن تیمی
.شاره‌زای هه‌ستبزوێن دروستكرابن
.شاره‌زای هه‌ستبزوێن دروستكرابن
05:16
Some of them are just randomly
assembled by software.
assembled by software.
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كه به هه‌ره‌مه‌كی له
.به‌رنامه‌كان كۆیانده‌كه‌نه‌وه
.به‌رنامه‌كان كۆیانده‌كه‌نه‌وه
05:19
Some of them are quite wholesome-looking
young kids' entertainers.
young kids' entertainers.
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هه‌ندێكیان سه‌یركردنێكی به‌تامیان
.هه‌یه منداڵ چێژی لێده‌بینێ
.هه‌یه منداڵ چێژی لێده‌بینێ
05:23
And some of them are from people
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و هه‌ندێك له لایه‌ن خه‌ڵكێكه
05:25
who really clearly
shouldn't be around children at all.
shouldn't be around children at all.
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.كه به‌ڕاستی نایه‌وێ له‌لایی منداڵ بێ
05:28
(Laughter)
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(پێكه‌نین)
05:30
And once again, this impossibility
of figuring out who's making this stuff --
of figuring out who's making this stuff --
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جارێكی دیكه، كێ ئه‌و
ئه‌سته‌مییه دروست ده‌كات
ئه‌سته‌مییه دروست ده‌كات
05:35
like, this is a bot?
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ئه‌وه ڕۆبۆته؟
05:36
Is this a person? Is this a troll?
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یا كه‌سێكه؟ یا عه‌ره‌بانه‌یه؟
05:39
What does it mean
that we can't tell the difference
that we can't tell the difference
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مانای چییه كه چیتر ناتوانین جیاوازی
05:41
between these things anymore?
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لە نێوان ئەو شتانە بکەین؟
05:43
And again, doesn't that uncertainty
feel kind of familiar right now?
feel kind of familiar right now?
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دوباره، دوو دڵ نیت له
ئێستادا هه‌ست به‌ئاشنابوون بكه‌ی؟
ئێستادا هه‌ست به‌ئاشنابوون بكه‌ی؟
05:50
So the main way people get views
on their videos --
on their videos --
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ڕێگای سه‌ره‌كی تا خه‌ڵك
ڤیدیۆكانیان سه‌یربكه‌ن
ڤیدیۆكانیان سه‌یربكه‌ن
05:52
and remember, views mean money --
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له‌بیرت بێبت، بینه‌ر واته پاره
05:54
is that they stuff the titles
of these videos with these popular terms.
of these videos with these popular terms.
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ئه‌وه‌یه ناونیشانی ڤیدیۆكه‌و
.وشه گرینگه‌كان ده‌خه‌نه‌ڕوو
.وشه گرینگه‌كان ده‌خه‌نه‌ڕوو
05:59
So you take, like, "surprise eggs"
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"وه‌ك، "هێلكه‌ی سه‌رسامی
06:00
and then you add
"Paw Patrol," "Easter egg,"
"Paw Patrol," "Easter egg,"
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،"یان "پاو په‌تڕۆل "،" ئه‌سته‌ر ئێگ
06:03
or whatever these things are,
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،یان هه‌ر شتێكی له‌وجۆره
06:04
all of these words from other
popular videos into your title,
popular videos into your title,
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له ناونیشانه‌كه‌ی وشه‌ی
،ڤیدیۆ به‌ناوبانگه‌كان به‌كاربێنی
،ڤیدیۆ به‌ناوبانگه‌كان به‌كاربێنی
06:07
until you end up with this kind of
meaningless mash of language
meaningless mash of language
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هه‌تا له‌گه‌ڵ ئه‌و زمانه تێكه‌ڵه
بێمانایه كۆتای پێدێنی
بێمانایه كۆتای پێدێنی
06:10
that doesn't make sense to humans at all.
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ئه‌وه به‌هیچ شێوه‌یه‌ك
.بۆ مرۆڤ ناشێت
.بۆ مرۆڤ ناشێت
06:12
Because of course it's only really
tiny kids who are watching your video,
tiny kids who are watching your video,
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چونكه به‌دڵنیایه‌وه ته‌نها
،منداڵی بچوك سه‌یری ئه‌وانە ده‌كه‌ن
،منداڵی بچوك سه‌یری ئه‌وانە ده‌كه‌ن
06:16
and what the hell do they know?
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ئەوان چی دەزانن؟
06:18
Your real audience
for this stuff is software.
for this stuff is software.
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ئاماده‌بونی ڕاسته‌قینه
.بۆ ئه‌و شته به‌رنامه‌یه‌كه
.بۆ ئه‌و شته به‌رنامه‌یه‌كه
06:21
It's the algorithms.
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.كه ئالۆگریتمه‌كانه
06:22
It's the software that YouTube uses
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به‌رنامه‌یه‌كه یوتیوب به‌كاری ده‌هێنێت
06:24
to select which videos
are like other videos,
are like other videos,
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،تا ڤیدیۆ هاوشێوه‌كان هه‌ڵبژێرێت
06:26
to make them popular,
to make them recommended.
to make them recommended.
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.تا ئه‌وان به‌ناوبانگ و په‌سند بكات
06:29
And that's why you end up with this
kind of completely meaningless mash,
kind of completely meaningless mash,
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و له‌به‌ر ئه‌وه‌یه تۆ
،به‌بێمانایی كۆتای پێده‌هێنیت
،به‌بێمانایی كۆتای پێده‌هێنیت
06:32
both of title and of content.
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.له ناونیشان و ناوه‌ڕۆكه‌كه‌ی
06:35
But the thing is, you have to remember,
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،به‌ڵام، ئه‌وشته‌ی ده‌بێت له بیرت بێت
06:37
there really are still people within
this algorithmically optimized system,
this algorithmically optimized system,
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تا ئێستاش خه‌ڵك هه‌ن له
ناو ئالگۆڕیزمی گه‌شبینی
ناو ئالگۆڕیزمی گه‌شبینی
06:42
people who are kind
of increasingly forced to act out
of increasingly forced to act out
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زۆر میهره‌بانن
ناچاركران نواندن بكه‌ن
ناچاركران نواندن بكه‌ن
06:45
these increasingly bizarre
combinations of words,
combinations of words,
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له تێكه‌ڵكردنی وشه
،به‌شێوه‌یه‌كی سه‌یر
،به‌شێوه‌یه‌كی سه‌یر
06:48
like a desperate improvisation artist
responding to the combined screams
responding to the combined screams
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وه‌ك هونه‌رمه‌ندێكی بێ هیوا و
كاردانه‌وه‌ی بۆ تێكه‌ڵكردنی
كاردانه‌وه‌ی بۆ تێكه‌ڵكردنی
06:53
of a million toddlers at once.
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.ملیۆنێك منداڵ به‌یه‌ك جار
06:57
There are real people
trapped within these systems,
trapped within these systems,
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خه‌ڵكی باش له‌ناو
،سیسته‌مه‌كه به ته‌ڵه‌وه بونه
،سیسته‌مه‌كه به ته‌ڵه‌وه بونه
06:59
and that's the other deeply strange thing
about this algorithmically driven culture,
about this algorithmically driven culture,
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ئه‌وە شتێكی تری سه‌یر و
،شاراوه‌یه ده‌رباره‌ی ئالگۆڕیزم
،شاراوه‌یه ده‌رباره‌ی ئالگۆڕیزم
07:03
because even if you're human,
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،چونكه ئه‌گه‌ر تۆ مرۆڤ بیت
07:05
you have to end up behaving like a machine
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پێویسته وه‌ك ئامێرێك ڕه‌فتار بكه‌یت
07:07
just to survive.
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.ته‌نها بۆ خۆپاراستن
07:09
And also, on the other side of the screen,
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هه‌روه‌ها، له‌سه‌ر لایه‌كی دیكه‌ی
،شاشه‌كه
،شاشه‌كه
07:11
there still are these little kids
watching this stuff,
watching this stuff,
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ته‌نها منداڵی بچوكن سه‌یری
،ئه‌و شتانه ده‌كه‌ن
،ئه‌و شتانه ده‌كه‌ن
07:14
stuck, their full attention grabbed
by these weird mechanisms.
by these weird mechanisms.
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ئه‌و میكانزمه سه‌یرانه
.سه‌رنجیان ڕاده‌كێشن
.سه‌رنجیان ڕاده‌كێشن
07:18
And most of these kids are too small
to even use a website.
to even use a website.
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ئه‌و منداڵانه زۆر بچوكن
.بۆ به‌كارهێنانی ئه‌و ماڵپه‌ڕانه
.بۆ به‌كارهێنانی ئه‌و ماڵپه‌ڕانه
07:21
They're just kind of hammering
on the screen with their little hands.
on the screen with their little hands.
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.به‌و ده‌سته بچوكه‌یان شاشه‌كه ده‌كوتن
07:24
And so there's autoplay,
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،ئەوتۆپلەی هەیە
07:26
where it just keeps playing these videos
over and over and over in a loop,
over and over and over in a loop,
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،یاریه‌كه به‌رده‌وام ده‌كا زیاترو زیاتر
07:29
endlessly for hours and hours at a time.
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به‌رده‌وام بۆ چه‌ند كاتژمێرێك له‌یه‌ك
.كات
.كات
07:31
And there's so much weirdness
in the system now
in the system now
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و ئێستا زۆر شتی نامۆ
له سیسته‌مه‌كه هه‌یه
له سیسته‌مه‌كه هه‌یه
07:34
that autoplay takes you
to some pretty strange places.
to some pretty strange places.
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كه ئەوتۆپلەی ده‌تبات بۆ
.زۆر شوێنی جوان و سه‌یر
.زۆر شوێنی جوان و سه‌یر
07:37
This is how, within a dozen steps,
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،به‌شێوه‌یه‌ك له ناو ده‌رزه‌نێك هه‌نگاو
07:40
you can go from a cute video
of a counting train
of a counting train
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ده‌توانی له ناو ڤییدێۆیه‌كی
شه‌مه‌نده‌فه‌ری ژماردن بڕۆی
شه‌مه‌نده‌فه‌ری ژماردن بڕۆی
07:43
to masturbating Mickey Mouse.
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.بۆ ده‌سپه‌ڕ لێدان له میكی ماوس
07:46
Yeah. I'm sorry about that.
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.به‌ڵێ، من دڵگرانم ده‌رباره‌ی ئه‌وه
07:48
This does get worse.
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.ئه‌وه خراپتری ده‌كات
07:50
This is what happens
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كه ڕوده‌دات
07:51
when all of these different keywords,
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،كاتێك ئه‌و كیبۆڕده جیاوازانه
07:54
all these different pieces of attention,
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،هه‌موو ئه‌و پارچه جیاوازانه‌ی سه‌رنج
07:57
this desperate generation of content,
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،ئه‌و نه‌وه بێ هیوایانه له ناوه‌ڕۆك
08:00
all comes together into a single place.
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هه‌موو به‌یه‌كه‌ه‌وه له‌یه‌ك شوێن
.كۆبونه‌ته‌وه
.كۆبونه‌ته‌وه
08:03
This is where all those deeply weird
keywords come home to roost.
keywords come home to roost.
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ئەو کیبۆردانە لە ماڵەکانماندا
.ڕەگیان داکوتاوە
.ڕەگیان داکوتاوە
08:08
You cross-breed the finger family video
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به ڤیدیۆی په‌نجه‌ی خێزانی تێده‌په‌ڕی
08:10
with some live-action superhero stuff,
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،له‌گه‌ڵ هه‌ندێ پاڵه‌وانی نایاب ده‌ژی
08:12
you add in some weird,
trollish in-jokes or something,
trollish in-jokes or something,
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هه‌ندێك شتی سه‌یر زیاد ده‌كه‌یت
،وه‌ك نوكته یان شتی تر
،وه‌ك نوكته یان شتی تر
08:16
and suddenly, you come
to a very weird place indeed.
to a very weird place indeed.
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.له‌ناكاو ده‌چیت بۆ شوێنێكی سه‌یر
08:19
The stuff that tends to upset parents
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ئه‌و شته‌ی دایك و باوك پێی نیگه‌ران
ده‌بن
ده‌بن
08:21
is the stuff that has kind of violent
or sexual content, right?
or sexual content, right?
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ئه‌و شته یا جۆرێكی
توند و تیژیه یاخود جنسیه، وایه؟
توند و تیژیه یاخود جنسیه، وایه؟
08:25
Children's cartoons getting assaulted,
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منداڵه كارتۆنیه‌كان ده‌بن
.بە شتی نەشیاو
.بە شتی نەشیاو
08:27
getting killed,
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،به كوشتن
08:29
weird pranks that actually
genuinely terrify children.
genuinely terrify children.
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گاڵته‌ی سه‌یر كه له ڕاستیدا
.به گشتی منداڵ ده‌تۆقێنن
.به گشتی منداڵ ده‌تۆقێنن
08:33
What you have is software pulling in
all of these different influences
all of these different influences
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هه‌موو ئه‌و كاریگه‌رییه جیاوازانه
08:37
to automatically generate
kids' worst nightmares.
kids' worst nightmares.
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ئۆتۆماتیكیه‌ن دروستده‌بێت
.له‌سه‌ر خه‌وی ناخۆشی منداڵ
.له‌سه‌ر خه‌وی ناخۆشی منداڵ
08:39
And this stuff really, really
does affect small children.
does affect small children.
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ئه‌وه به‌ڕاستی كاریگه‌ری زۆر
.هه‌یه له‌سه‌ر منداڵی بچوك
.هه‌یه له‌سه‌ر منداڵی بچوك
08:42
Parents report their children
being traumatized,
being traumatized,
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باوان ڕاپۆرت له‌سه‌ر كۆسپی ده‌رونی
،منداڵ ده‌ده‌ن
،منداڵ ده‌ده‌ن
08:45
becoming afraid of the dark,
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،وه‌ك بوونی ترس له تاریكی
08:47
becoming afraid of their favorite
cartoon characters.
cartoon characters.
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یا ترس له‌كارێكته‌ره‌كانی
.ئه‌و كارتۆنه‌ی حه‌زیان لێیه
.ئه‌و كارتۆنه‌ی حه‌زیان لێیه
08:50
If you take one thing away from this,
it's that if you have small children,
it's that if you have small children,
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ئه‌گه‌ر منداڵی بچوكت هه‌یه
،ده‌ته‌وێت له یه‌ك شت لایان بده‌یت
،ده‌ته‌وێت له یه‌ك شت لایان بده‌یت
08:54
keep them the hell away from YouTube.
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.له یوتیوب دوریان بخه‌وه
08:56
(Applause)
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(چەپڵە)
09:02
But the other thing, the thing
that really gets to me about this,
that really gets to me about this,
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،به‌ڵام شتێكی دی، ده‌رباره‌ی ئه‌وه
09:05
is that I'm not sure we even really
understand how we got to this point.
understand how we got to this point.
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من دڵنیانیم كه ئێمه به‌ڕاستی
.چۆن ده‌گه‌ین به‌وخاڵه
.چۆن ده‌گه‌ین به‌وخاڵه
09:10
We've taken all of this influence,
all of these things,
all of these things,
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،ئێمه هه‌موو ئه‌و شت
،و ده‌سه‌ڵاته‌مان به‌ده‌ست هێنا
،و ده‌سه‌ڵاته‌مان به‌ده‌ست هێنا
09:13
and munged them together in a way
that no one really intended.
that no one really intended.
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به‌شێوه‌یه‌ك
.هیچ كه‌س به‌و شێوه نه‌یتوانیوه
.هیچ كه‌س به‌و شێوه نه‌یتوانیوه
09:16
And yet, this is also the way
that we're building the entire world.
that we're building the entire world.
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تاوه‌كو ئێستاش، ئه‌و ڕێگەیه‌یه كه
.جیهانی له‌سه‌ر بنیات ده‌نێین
.جیهانی له‌سه‌ر بنیات ده‌نێین
09:20
We're taking all of this data,
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،ئێمه هه‌مو ئه‌و داتایانه ده‌به‌ین
09:21
a lot of it bad data,
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،به‌شێكی زۆریان خراپن
09:23
a lot of historical data
full of prejudice,
full of prejudice,
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به‌شێكی زۆری داتای مێژوین
،كه پڕیه‌تی له لایه‌ن گری كویرانه
،كه پڕیه‌تی له لایه‌ن گری كویرانه
09:26
full of all of our worst
impulses of history,
impulses of history,
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،و پریه‌تی له مه‌یلی خراپی ئێمه بۆ مێژوو
09:29
and we're building that
into huge data sets
into huge data sets
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و ئه‌وانمان كردوه
به داتای گه‌وره‌و زۆر
به داتای گه‌وره‌و زۆر
09:31
and then we're automating it.
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.دواتر ده‌یكه‌ینه ئۆتۆماتیكی
09:32
And we're munging it together
into things like credit reports,
into things like credit reports,
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و هه‌مویانمان به‌ده‌ست هێناوه
،شتێكمان لێدروستكردوه وه‌ك ڕاپۆرتی كارد
،شتێكمان لێدروستكردوه وه‌ك ڕاپۆرتی كارد
09:36
into insurance premiums,
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،یان بیمه‌ی دڵنیای
09:37
into things like predictive
policing systems,
policing systems,
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،یان وه‌ك سیسته‌می پێشبینی كراوی پۆلیسی
09:40
into sentencing guidelines.
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.یان بڕیاردان له‌سه‌ر یاسا گشتیه‌كان
09:42
This is the way we're actually
constructing the world today
constructing the world today
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ئه‌مه ئه‌و ڕێگەیه‌یه ئه‌وڕۆ
دونیای له‌سه‌ر دروست ده‌كه‌ین
دونیای له‌سه‌ر دروست ده‌كه‌ین
09:45
out of this data.
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.له‌و داتایانه
09:46
And I don't know what's worse,
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،و نازانم چ خراپه‌یه‌كی هه‌یه
09:48
that we built a system
that seems to be entirely optimized
that seems to be entirely optimized
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كه ئێمه سیسته‌مێكی وامان دروستكردوه
کە تەواو لە گونجاو دەچێت
کە تەواو لە گونجاو دەچێت
09:51
for the absolute worst aspects
of human behavior,
of human behavior,
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،بۆ خراپترین لایه‌نی ئه‌خلاقی مرۆڤ
09:54
or that we seem
to have done it by accident,
to have done it by accident,
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یان ئێمه ئه‌وه‌مان به هەڵکەوت
،دروست كردوه
،دروست كردوه
09:56
without even realizing
that we were doing it,
that we were doing it,
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به‌بێ ئه‌وه‌ی بزانین
،ئه‌وه‌مان دروست كردوه
،ئه‌وه‌مان دروست كردوه
09:58
because we didn't really understand
the systems that we were building,
the systems that we were building,
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له‌به‌ر ئه‌وه‌ی ئێمه له‌و سیسته‌مه
،تێناگه‌ین كه دروستمان كردوه
،تێناگه‌ین كه دروستمان كردوه
10:02
and we didn't really understand
how to do anything differently with it.
how to do anything differently with it.
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و له‌وه‌ش تێنه‌گه‌یشتوین چۆن هه‌رشتی
.بكه‌ین به‌شێوه‌یه‌كی جیاواز له‌وه
.بكه‌ین به‌شێوه‌یه‌كی جیاواز له‌وه
10:06
There's a couple of things I think
that really seem to be driving this
that really seem to be driving this
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لێره‌دا دوشت هه‌یه كه من
پێم وایه ڕۆڵیان هه‌بووه
پێم وایه ڕۆڵیان هه‌بووه
10:10
most fully on YouTube,
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،به‌تایبه‌تی له یوتیوب
10:11
and the first of those is advertising,
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،یه‌كه‌میان ڕیكلامه
10:13
which is the monetization of attention
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كه به مه‌به‌ستی پاره په‌یداكردنه
10:16
without any real other variables at work,
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،به‌بێ هیچ جیاوازیه‌كی تر له كار
10:19
any care for the people who are
actually developing this content,
actually developing this content,
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هیچ گرنگیدانێك به‌و خه‌ڵكه‌ی
،كه له ڕاستیدا ئه‌و كاره پیشده‌خه‌ن
،كه له ڕاستیدا ئه‌و كاره پیشده‌خه‌ن
10:23
the centralization of the power,
the separation of those things.
the separation of those things.
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،كۆكردنه‌وه و ده‌سه‌ڵات
.و جیاكردنه‌وه‌ی ئه‌و شتانه
.و جیاكردنه‌وه‌ی ئه‌و شتانه
10:26
And I think however you feel
about the use of advertising
about the use of advertising
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من پێم وایه هه‌ستده‌كه‌ی
له‌چۆنیه‌تی به‌كارهێنانی ڕیكلامدا
له‌چۆنیه‌تی به‌كارهێنانی ڕیكلامدا
10:29
to kind of support stuff,
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،له پشتگیری ئه‌و ستافه‌دا
10:31
the sight of grown men in diapers
rolling around in the sand
rolling around in the sand
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دیمه‌نی بینینی پیاوێكی
به‌ده‌رپێی منداڵان له‌ناو خۆڵ بێوبچێت
به‌ده‌رپێی منداڵان له‌ناو خۆڵ بێوبچێت
10:34
in the hope that an algorithm
that they don't really understand
that they don't really understand
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به‌هیوای ئه‌وه‌ی ئه‌لگۆریزم
كه ته‌واو لێی تێناگه‌ن
كه ته‌واو لێی تێناگه‌ن
10:37
will give them money for it
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پاره‌یان پێ بدات بۆ ئه‌وه
10:38
suggests that this
probably isn't the thing
probably isn't the thing
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پیشنیار ده‌كات ئه‌وه ئه‌و شته نییه
10:40
that we should be basing
our society and culture upon,
our society and culture upon,
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بتوانین كۆمه‌وڵگە وكلتوره‌كه‌مانی
،له‌سه‌ر بنیاتبنێین
،له‌سه‌ر بنیاتبنێین
10:43
and the way in which
we should be funding it.
we should be funding it.
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بەو ڕێگه‌یه‌ی بتوانین
.پشتگیری دارای بكه‌ین
.پشتگیری دارای بكه‌ین
10:45
And the other thing that's kind of
the major driver of this is automation,
the major driver of this is automation,
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و خاڵی دوه‌م كه ڕۆڵی هه‌یه
،له‌و به ئۆتۆماتیك كردنه
،له‌و به ئۆتۆماتیك كردنه
10:49
which is the deployment
of all of this technology
of all of this technology
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كه بڵاوكردنه‌وه‌ی ئه‌و
هه‌مو ته‌كنه‌لۆجیایه‌یه
هه‌مو ته‌كنه‌لۆجیایه‌یه
10:51
as soon as it arrives,
without any kind of oversight,
without any kind of oversight,
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،به‌خێراترین شێوه ده‌رده‌كه‌ون
،به‌بێ هیچ چاودێریه‌ك
،به‌بێ هیچ چاودێریه‌ك
10:53
and then once it's out there,
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،و له‌ده‌ره‌وه‌ی ئه‌وێ
10:55
kind of throwing up our hands and going,
"Hey, it's not us, it's the technology."
"Hey, it's not us, it's the technology."
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شێوازی به‌رزكردنه‌وه‌ی ده‌ستمان
".ڕۆیشتنمان، "ئێمه نین ته‌كنه‌لۆجیایه
".ڕۆیشتنمان، "ئێمه نین ته‌كنه‌لۆجیایه
10:59
Like, "We're not involved in it."
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".وه‌ك "ئێمه تێوه نه‌گلاوین
11:00
That's not really good enough,
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،ئه‌وه زۆر باش نییه یان به‌س نییه
11:02
because this stuff isn't
just algorithmically governed,
just algorithmically governed,
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چونكه ئه‌و ستافه به‌شێوه‌یه‌كی
،ڕێكخراو به‌ڕیوه نابرێت
،ڕێكخراو به‌ڕیوه نابرێت
11:05
it's also algorithmically policed.
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.له‌ڕوی ڕێكخراوه‌وه چاودێری ده‌كرێت
11:07
When YouTube first started
to pay attention to this,
to pay attention to this,
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كاتێك یوتیوب ده‌ست ده‌كات
،به‌وه‌ی گرنگی پێبده‌یت
،به‌وه‌ی گرنگی پێبده‌یت
11:10
the first thing they said
they'd do about it
they'd do about it
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یه‌كه‌م شت ده‌یڵێن
شتێكی له‌باره‌وه ده‌كه‌ن
شتێكی له‌باره‌وه ده‌كه‌ن
11:12
was that they'd deploy
better machine learning algorithms
better machine learning algorithms
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ده‌یانه‌وێ ئامێری باشترفیربونی
ئه‌لگۆریزم بڵاوبكه‌نه‌وه
ئه‌لگۆریزم بڵاوبكه‌نه‌وه
11:15
to moderate the content.
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.بۆ نوێگه‌ری ناوه‌رۆكه‌كه
11:17
Well, machine learning,
as any expert in it will tell you,
as any expert in it will tell you,
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باش، ئامێری فێربون، وه‌ك
،هه‌رئه‌زمونێك به‌تۆ ده‌ڵێت
،هه‌رئه‌زمونێك به‌تۆ ده‌ڵێت
11:20
is basically what we've started to call
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بەو ناوە دەستمان پێکرد
11:22
software that we don't really
understand how it works.
understand how it works.
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سۆفتوێر كه له‌سه‌ره‌تاوه
.نازانین چۆن كارده‌كات
.نازانین چۆن كارده‌كات
11:25
And I think we have
enough of that already.
enough of that already.
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.پێموایه ئێستا به‌شی پێویستمان هه‌یه
11:29
We shouldn't be leaving
this stuff up to AI to decide
this stuff up to AI to decide
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پێویست ناكات ئه‌م ستافه جێبێڵین
بۆ ئه‌ی ئای تا بڕیار بدات
بۆ ئه‌ی ئای تا بڕیار بدات
11:32
what's appropriate or not,
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،كه چی گونجاوه یان نا
11:33
because we know what happens.
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.چونكه ده‌زانین چی ده‌بیت
11:34
It'll start censoring other things.
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.ده‌ست ده‌كات به سه‌رژمێری شته‌كان
11:36
It'll start censoring queer content.
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.سه‌رژمێری ناوه‌ڕۆكی سه‌یرو نائاسای
11:38
It'll start censoring
legitimate public speech.
legitimate public speech.
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.و سه‌رژمێری قسه‌ی دروستی گشتی
11:40
What's allowed in these discourses,
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،ئه‌وه‌ی له‌و گفتوگۆیانه ڕێگه پێدراوه
11:42
it shouldn't be something
that's left up to unaccountable systems.
that's left up to unaccountable systems.
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نابێت شتێك بێت كه به‌رز بكرێته‌وه
.بۆ سیسته‌مێكی نه‌ژمێردراو
.بۆ سیسته‌مێكی نه‌ژمێردراو
11:45
It's part of a discussion
all of us should be having.
all of us should be having.
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ئه‌مه به‌شێكه له گفتوگۆیه‌ك
.كه پێویسته هه‌مانبیت
.كه پێویسته هه‌مانبیت
11:48
But I'd leave a reminder
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بیرهێنه‌ره‌وه‌یه‌ك جێدێڵم
11:50
that the alternative isn't
very pleasant, either.
very pleasant, either.
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جێگرەوەیەکی
.زۆر بەهێز نییە
.زۆر بەهێز نییە
11:52
YouTube also announced recently
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یوتیوب ئاشكرای كردوه
11:54
that they're going to release
a version of their kids' app
a version of their kids' app
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به نیازن ڤێرژنێك بڵاو بكه‌نه‌وه
تایبەت بە منداڵان
تایبەت بە منداڵان
11:57
that would be entirely
moderated by humans.
moderated by humans.
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كه ڕۆڵی نێوانگیری ببینێت
.له‌لایه‌ن مرۆڤه‌وه
.له‌لایه‌ن مرۆڤه‌وه
12:00
Facebook -- Zuckerberg said
much the same thing at Congress,
much the same thing at Congress,
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فه‌یسبوك--زوكبێرگ له‌كۆبونه‌وه‌دا
،زۆرشتی هاوشێوه‌ی وت
،زۆرشتی هاوشێوه‌ی وت
12:03
when pressed about how they
were going to moderate their stuff.
were going to moderate their stuff.
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كاتێك باسی چونیه‌تی ڕۆڵی
.نیوه‌نگیری ستافه‌كه‌یانی كرد
.نیوه‌نگیری ستافه‌كه‌یانی كرد
12:06
He said they'd have humans doing it.
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گوتی كه‌سانێك هه‌ن ئه‌وانه
.ده‌كه‌ن
.ده‌كه‌ن
12:08
And what that really means is,
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،مه‌به‌ستی ئه‌وه بوو
12:10
instead of having toddlers being
the first person to see this stuff,
the first person to see this stuff,
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پێش ئه‌وه‌ی منداڵه‌كان یه‌كه‌م
،كه‌س بن ئه‌و ستافه ببینن
،كه‌س بن ئه‌و ستافه ببینن
12:13
you're going to have underpaid,
precarious contract workers
precarious contract workers
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،ده‌بێ كرێیه‌كی كه‌مت دابێ
وه‌ك عه‌قدێكی ئیشكردن
وه‌ك عه‌قدێكی ئیشكردن
12:16
without proper mental health support
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به‌بێ یارمه‌تی ته‌ندروست باشی عه‌قڵی
12:17
being damaged by it as well.
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.خراپ ده‌بێت
12:19
(Laughter)
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(پێكه‌نین)
12:20
And I think we can all do
quite a lot better than that.
quite a lot better than that.
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من پێم وایه ده‌توانین زۆر له‌وه
.باشتر بكه‌ین
.باشتر بكه‌ین
12:22
(Applause)
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(چەپڵە)
12:26
The thought, I think, that brings those
two things together, really, for me,
two things together, really, for me,
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،ئه‌و بیرۆكه، پێموایه دوو شت
،بۆمن پێكه‌وه ده‌نیت
،بۆمن پێكه‌وه ده‌نیت
12:30
is agency.
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بریکار
12:32
It's like, how much do we really
understand -- by agency, I mean:
understand -- by agency, I mean:
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چه‌ند له ئێمه له بریکار
:تێده‌گه‌ین، مه‌به‌ستم
:تێده‌گه‌ین، مه‌به‌ستم
12:35
how we know how to act
in our own best interests.
in our own best interests.
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ئێمه چۆن ده‌زانین چۆن كارده‌كه‌ین
.به‌پێی ئه‌و توانایه‌ی هه‌مانه
.به‌پێی ئه‌و توانایه‌ی هه‌مانه
12:39
Which -- it's almost impossible to do
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كه--ئه‌وه‌ی ئه‌سته‌مه كردنی
12:41
in these systems that we don't
really fully understand.
really fully understand.
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له‌م سیسته‌مه كه ئێمه به‌ته‌واوی
.لێی تێناگه‌ین
.لێی تێناگه‌ین
12:45
Inequality of power
always leads to violence.
always leads to violence.
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و نه‌بونی یا كه‌می هێز سه‌رده‌كێشێت
.بۆ توندو تیژی
.بۆ توندو تیژی
12:48
And we can see inside these systems
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و ئێمه ده‌زانین له‌م سیسته‌مانەدا
12:49
that inequality of understanding
does the same thing.
does the same thing.
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كه‌می یا نه‌بونی تێگه‌شتن
.هه‌مان شت ده‌كات
.هه‌مان شت ده‌كات
12:52
If there's one thing that we can do
to start to improve these systems,
to start to improve these systems,
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ئه‌گه‌ریه‌ك شت هه‌بێت كه
،بۆ به‌ره‌و پێشبردنی ئه‌و سیسته‌مه بیكه‌م
،بۆ به‌ره‌و پێشبردنی ئه‌و سیسته‌مه بیكه‌م
12:56
it's to make them more legible
to the people who use them,
to the people who use them,
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كه وای لێبكه‌م زیاتر ڕونبێت
،بۆ ئه‌وانه‌ی به‌كاری دێنن
،بۆ ئه‌وانه‌ی به‌كاری دێنن
12:59
so that all of us have
a common understanding
a common understanding
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له‌به‌رئه‌وه‌ی تێگه‌شتنی
هاوبه‌شمان هه‌یه
هاوبه‌شمان هه‌یه
13:01
of what's actually going on here.
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.كه لێره چی ده‌گوزه‌رێت
13:03
The thing, though, I think
most about these systems
most about these systems
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شتێك، پێموایه زۆرترین شت
ده‌رباره‌ی ئه‌م سیسته‌مه
ده‌رباره‌ی ئه‌م سیسته‌مه
13:06
is that this isn't, as I hope
I've explained, really about YouTube.
I've explained, really about YouTube.
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كه به هیوام توانیبێتم به‌ته‌واوه‌تی
،ده‌رباره‌ی یوتیوب ڕوونم كردبێته‌وه
،ده‌رباره‌ی یوتیوب ڕوونم كردبێته‌وه
13:10
It's about everything.
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.و هه‌موو شتێكه
13:12
These issues of accountability and agency,
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،ئه‌و بابه‌ته به‌رپرسیاریه‌تی و بریكاریه
13:14
of opacity and complexity,
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،هی ناڕونی و ئاڵۆزی
13:16
of the violence and exploitation
that inherently results
that inherently results
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توندوتیژی وبه‌ركارهێنان
كه سه‌رچاوه ده‌گرێت
كه سه‌رچاوه ده‌گرێت
13:20
from the concentration
of power in a few hands --
of power in a few hands --
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له‌كۆكردنه‌وه‌ی ده‌سه‌ڵات
له‌هه‌ندێك ده‌ستی كه‌مدا
له‌هه‌ندێك ده‌ستی كه‌مدا
13:22
these are much, much larger issues.
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.ئه‌وانه ،كێشه‌ی زۆر زۆر گه‌وره‌ن
13:26
And they're issues not just of YouTube
and not just of technology in general,
and not just of technology in general,
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به‌ته‌نها بۆ یوتیوب كێشه نین
،و نه بۆ ته‌كنه‌لۆجیا به‌گشتی
،و نه بۆ ته‌كنه‌لۆجیا به‌گشتی
13:30
and they're not even new.
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.كێشه‌یه‌كی نوێ نییه
13:31
They've been with us for ages.
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.ماوه‌یه‌كی زۆره له‌گه‌ڵمانن
13:32
But we finally built this system,
this global system, the internet,
this global system, the internet,
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له‌كۆتایدا ئه‌و سیسته‌مه جیهانیه‌مان
،دروست كرد، ئینته‌رنێت
،دروست كرد، ئینته‌رنێت
13:37
that's actually showing them to us
in this extraordinary way,
in this extraordinary way,
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كه به‌ڕیگه‌یه‌كی له ڕاده به‌ده‌ر
،پیشانی ئێمه‌ی ده‌ده‌ن
،پیشانی ئێمه‌ی ده‌ده‌ن
13:40
making them undeniable.
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.كه حاشا هه‌ڵنه‌گر بن
13:41
Technology has this extraordinary capacity
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ته‌كنه‌لوجیا ئه‌و توانا زۆره‌ی هه‌یه
13:44
to both instantiate and continue
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بۆ هه‌ردوو نوێنه‌رایه‌تی و به‌رده‌وامی
13:48
all of our most extraordinary,
often hidden desires and biases
often hidden desires and biases
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،ئێمه به ڕاده‌یه‌كی زۆر
حه‌زه شاراوه ولایه‌نگیریمان به كۆد
حه‌زه شاراوه ولایه‌نگیریمان به كۆد
13:53
and encoding them into the world,
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،ده‌خاته پێش چاوی دونیا
13:54
but it also writes them down
so that we can see them,
so that we can see them,
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به‌ڵام له هه‌مانكاتیش ده‌یاننوسێته‌وه
،بۆیه به ئاسانی ده‌یبینین
،بۆیه به ئاسانی ده‌یبینین
13:58
so that we can't pretend
they don't exist anymore.
they don't exist anymore.
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كه ناتوانین پیشانیان بده‌ین
،چونكه له هیچ كوێ بونیان نییه
،چونكه له هیچ كوێ بونیان نییه
14:01
We need to stop thinking about technology
as a solution to all of our problems,
as a solution to all of our problems,
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بیرنه‌كه‌ینه‌وه له ته‌كنه‌لۆجیا هه‌موو
،كێشه‌كانمان چاره‌سه‌ر ده‌كات
،كێشه‌كانمان چاره‌سه‌ر ده‌كات
14:06
but think of it as a guide
to what those problems actually are,
to what those problems actually are,
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به‌ڵام وه‌ك نیشانه‌یه‌ك بۆدیاریكردنی
،جۆری كێشه‌كه بیریلێبكه‌وه
،جۆری كێشه‌كه بیریلێبكه‌وه
14:09
so we can start thinking
about them properly
about them properly
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ده‌توانین به دروستی بیریان لێبكه‌ینه‌وه
14:12
and start to address them.
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.و ده‌ست به ناسینیان بكه‌ین
14:13
Thank you very much.
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.زۆر سوپاستان ده‌كه‌م
14:15
(Applause)
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(چه‌پڵه لێده‌ده‌ن)
14:21
Thank you.
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.سوپاستانده‌كه‌م
14:22
(Applause)
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(چەپڵە)
14:28
Helen Walters: James, thank you
for coming and giving us that talk.
for coming and giving us that talk.
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هیلان واڵته‌رز: جیمس، سوپاس بۆ
.پێدانی ئه‌و قسانەت
.پێدانی ئه‌و قسانەت
14:32
So it's interesting:
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:كه‌وایه سه‌رنج ڕاكێشه
14:33
when you think about the films where
the robotic overlords take over,
the robotic overlords take over,
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كاتێك كه سه‌یری فیلمێك ده‌كه‌یت
،ڕۆبۆتێكی گه‌وره شتێك به‌ده‌ست ده‌هێنێت
،ڕۆبۆتێكی گه‌وره شتێك به‌ده‌ست ده‌هێنێت
14:36
it's all a bit more glamorous
than what you're describing.
than what you're describing.
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ئه‌وه تۆزێك خۆشیه به
.به‌راورد به‌وه‌ی باستكرد
.به‌راورد به‌وه‌ی باستكرد
14:40
But I wonder -- in those films,
you have the resistance mounting.
you have the resistance mounting.
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به‌ڵام من له‌و فیلمانه ترسم
.له‌وه‌یه ڕێگریت هه‌بێت
.له‌وه‌یه ڕێگریت هه‌بێت
14:43
Is there a resistance mounting
towards this stuff?
towards this stuff?
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ئایا هیچ ڕێگریه‌ك هه‌یه
له‌به‌رده‌م ئه‌و ستافه؟
له‌به‌رده‌م ئه‌و ستافه؟
14:47
Do you see any positive signs,
green shoots of resistance?
green shoots of resistance?
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ئایا هیچ ئاماژه‌یه‌كی پۆزەتیڤ به‌ره‌و
پێش چون ده‌بینیت، له‌و ڕێگریه؟
پێش چون ده‌بینیت، له‌و ڕێگریه؟
14:52
James Bridle: I don't know
about direct resistance,
about direct resistance,
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جه‌یمس: من هیچ
،ده‌رباره‌ی ڕێگری ڕاسته‌وخۆ نازانم
،ده‌رباره‌ی ڕێگری ڕاسته‌وخۆ نازانم
14:54
because I think this stuff
is super long-term.
is super long-term.
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چونكه ستافه‌كه نایابن
.و هه‌رواش ده‌مێننه‌وه
.و هه‌رواش ده‌مێننه‌وه
14:57
I think it's baked into culture
in really deep ways.
in really deep ways.
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هه‌ستده‌كه‌م به‌باشی و قوڵی
.تێكه‌ڵی كه‌لتوربوونه
.تێكه‌ڵی كه‌لتوربوونه
14:59
A friend of mine,
Eleanor Saitta, always says
Eleanor Saitta, always says
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،هاوڕێیه‌كم، ئیلینه سایتا
هه‌میشه ده‌ڵێت
هه‌میشه ده‌ڵێت
15:01
that any technological problems
of sufficient scale and scope
of sufficient scale and scope
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هه‌ر كێشه‌یه‌كی ته‌كنه‌لۆجیا له
بوارێكی پێویستدا
بوارێكی پێویستدا
15:05
are political problems first of all.
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.پێش هه‌ر شتێك كێشه‌یه‌كی سیاسیه
15:07
So all of these things we're working
to address within this
to address within this
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هه‌موو ئه‌و شتانه‌ی
ئیشی له‌سه‌ر ده‌كه‌ین تا بیانناسێنین
ئیشی له‌سه‌ر ده‌كه‌ین تا بیانناسێنین
15:10
are not going to be addressed
just by building the technology better,
just by building the technology better,
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ناتوانرێ ته‌نها به
،بونیادنانی ته‌كنه‌لجیا باشتر بناسرێن
،بونیادنانی ته‌كنه‌لجیا باشتر بناسرێن
15:13
but actually by changing the society
that's producing these technologies.
that's producing these technologies.
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بەڵکو بە گۆڕینی ئەو کۆمەڵگەیەی
.کە تەکنەلۆژیا بەرهەمدێنێت
.کە تەکنەلۆژیا بەرهەمدێنێت
15:17
So no, right now, I think we've got
a hell of a long way to go.
a hell of a long way to go.
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پێم وایه ڕێگه‌یه‌كی زۆر قورس
.و دوور له ڕێمان دایه
.و دوور له ڕێمان دایه
15:20
But as I said, I think by unpacking them,
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وه‌ك وتم، به‌هۆی قسه‌كردن
،له‌سه‌ریان
،له‌سه‌ریان
15:22
by explaining them, by talking
about them super honestly,
about them super honestly,
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وزیاتر ڕونكردنه‌وه‌یان
،به‌شێوه‌یه‌كی ڕاستگۆییانه
،به‌شێوه‌یه‌كی ڕاستگۆییانه
15:25
we can actually start
to at least begin that process.
to at least begin that process.
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ده‌توانین ده‌ست بكه‌ین
.به دروستكردنی ئه‌و پڕۆسه
.به دروستكردنی ئه‌و پڕۆسه
15:27
HW: And so when you talk about
legibility and digital literacy,
legibility and digital literacy,
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و كاتێك تۆ ده‌دوێیت له‌سه‌ر
،ڕوونی خوێنده‌واری
،ڕوونی خوێنده‌واری
15:31
I find it difficult to imagine
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قورسه بیهێنمه پێش چاوی خۆم
15:32
that we need to place the burden
of digital literacy on users themselves.
of digital literacy on users themselves.
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ئه‌و خوێنده‌واریه ژماره‌یه‌ك ئه‌ركی
.بخه‌ینه ئه‌ستۆی به‌كارهێنه‌ران خۆیان
.بخه‌ینه ئه‌ستۆی به‌كارهێنه‌ران خۆیان
15:36
But whose responsibility
is education in this new world?
is education in this new world?
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به‌ڵام به‌رپرسیاریه‌تیه‌كه‌ی
ده‌كه‌وێته ئه‌ستۆی په‌روه‌رده؟
ده‌كه‌وێته ئه‌ستۆی په‌روه‌رده؟
15:41
JB: Again, I think this responsibility
is kind of up to all of us,
is kind of up to all of us,
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جیمس: پێموایه ئه‌م به‌رپرسیاریه‌ته
،په‌یوه‌سته به هه‌مومانه‌وه
،په‌یوه‌سته به هه‌مومانه‌وه
15:44
that everything we do,
everything we build, everything we make,
everything we build, everything we make,
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،له هه‌موو شتێك كه ده‌یكه‌ین
،و دروستی ده‌كه‌ین
،و دروستی ده‌كه‌ین
15:47
needs to be made
in a consensual discussion
in a consensual discussion
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ده‌بێت دروستبكرێت به شێوه‌ی داتاو
گفتوگۆی له‌باره‌وه بكرێت
گفتوگۆی له‌باره‌وه بكرێت
15:51
with everyone who's avoiding it;
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;له‌گه‌ڵ هه‌ر كه‌سێك خۆشی دوور بگرێت
15:53
that we're not building systems
intended to trick and surprise people
intended to trick and surprise people
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كه پڕۆگرامێك دروست ناكه‌ین خه‌ڵك
فریو بدات یا توشی سه‌رسوڕمانیان بكات
فریو بدات یا توشی سه‌رسوڕمانیان بكات
15:57
into doing the right thing,
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،به شێوه‌یه‌ك تا دروستترین شت بكه‌ن
16:00
but that they're actually involved
in every step in educating them,
in every step in educating them,
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به‌ڵام له ڕاستیدا تێوه‌گلاون له‌هه‌ر
،هه‌نگاوێكی په‌روه‌رده كردنیان
،هه‌نگاوێكی په‌روه‌رده كردنیان
16:03
because each of these systems
is educational.
is educational.
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چونكه هه‌ریه‌ك له‌و پڕۆگرامانه
.په‌روه‌رده‌ین
.په‌روه‌رده‌ین
16:05
That's what I'm hopeful about,
about even this really grim stuff,
about even this really grim stuff,
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ئه‌وه‌ش تاكه هۆیه ده‌رباره‌ی ئه‌و
،بابه‌ت و گروپه دڵخۆشی كردوم
،بابه‌ت و گروپه دڵخۆشی كردوم
16:08
that if you can take it
and look at it properly,
and look at it properly,
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،ئه‌گه‌ر بتوانی به‌جوانی لێی بڕوانیت
16:11
it's actually in itself
a piece of education
a piece of education
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له‌ناو خۆیدا هه‌ندێك په‌روه‌رده‌ی
هه‌ڵگرتوه
هه‌ڵگرتوه
16:13
that allows you to start seeing
how complex systems come together and work
how complex systems come together and work
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كه ڕێگه‌ت ده‌دات ببینیت پڕۆگرامه‌كان
چه‌ند ئاڵۆزن و پێكه‌وه كارده‌كه‌ن
چه‌ند ئاڵۆزن و پێكه‌وه كارده‌كه‌ن
16:17
and maybe be able to apply
that knowledge elsewhere in the world.
that knowledge elsewhere in the world.
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له‌وانه‌یه هه‌ر زانیاریه‌كت ده‌ست
.بكه‌وێ له هه‌ر كوێیه‌كی جیهان بێت
.بكه‌وێ له هه‌ر كوێیه‌كی جیهان بێت
16:20
HW: James, it's such
an important discussion,
an important discussion,
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،پێشكه‌شكار: جه‌یمس
،گفتوگۆیه‌كی گرینگبوو
،گفتوگۆیه‌كی گرینگبوو
16:22
and I know many people here
are really open and prepared to have it,
are really open and prepared to have it,
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و ده‌زانم خه‌ڵكێكی زۆر لێره‌ن مێشكیان
،كراوه‌یه و وه‌ری ده‌گرن
،كراوه‌یه و وه‌ری ده‌گرن
،سوپاس ئه‌و به‌یانیه له‌گه‌ڵمان بوویت
16:26
so thanks for starting off our morning.
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.جه‌یمس: سوپاس
16:27
JB: Thanks very much. Cheers.
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16:29
(Applause)
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(چەپڵە)
ABOUT THE SPEAKER
James Bridle - Artist, writerWorking across technologies and disciplines, James Bridle examines technology, knowledge and the end of the future.
Why you should listen
James Bridle is an artist and writer working across technologies and disciplines. His artworks and installations have been exhibited in Europe, North and South America, Asia and Australia, and have been viewed by hundreds of thousands of visitors online. He has been commissioned by organizations including the Victoria & Albert Museum, the Barbican, Artangel, the Oslo Architecture Triennale and the Istanbul Design Biennial, and he has been honored by Ars Electronica, the Japan Media Arts Festival and the Design Museum, London. His writing on literature, culture and networks has appeared in magazines and newspapers including Frieze, Wired, Domus, Cabinet, The Atlantic, the New Statesman and many others, and he has written a regular column for The Observer.
New Dark Age, Bridle's book about technology, knowledge and the end of the future is forthcoming from Verso (UK & US) in 2018. He lectures regularly on radio, at conferences, universities and other events including SXSW, Lift, the Global Art Forum and Re:Publica. He has been a resident at Lighthouse, Brighton, the White Building, London and Eyebeam, New York, and an adjunct professor on the interactive telecommunications program at New York University.
James Bridle | Speaker | TED.com