SHADOW SELVES: LIVING WITH (OR WITHOUT) OUR BIG DATA DOUBLES

S H A D O W S E LV E S : L I V I N G W I T H ( O R W I T H O U T ) O U R B I G D ATA D O U B L E S

E M E R C E E D A Y

S C O T T S M I T H @ C H A N G E I S T

S T I L L F R O M “ U N N A M E D S O U N D S C U L P T U R E , ” B Y C E D R I C K I E F E R A N D D A N I E L F R A N K E

CHANGE I ST

2 4 H R S I N P H O T O S | E R I K K E S S E L S | B I G B A N G D ATA E X H I B I T I O N | C C C B

70% of stored data—900 exabytes, doubling annually—is generated by people directly.

S O U R C E : I D C / E M C

H T T P : / / W W W. E N G A D G E T. C O M / 2 0 1 2 / 1 1 / 1 2 / N E C - O U T S - 8 8 0 - FA C I A L - R E C O G N I T I O N - S Y S T E M /

H T T P : / / W W W. A M S C R E E N . E U /

Image: Flickr / Suman Park / (CC BY-NC-SA 2.0)

I M A G E ; B E R A L D O L E A L | F L I C K R

$4 trillion spent by businesses on IT hardware, software, people and

services since 2005. “ B I G D A TA : S E I Z I N G O P P O R T U N I T I E S ,

P R E S E R V I N G VA L U E S | W H I T E H O U S E

H T T P : / / W W W. A M S C R E E N . E U /

Data-driven marketing “added $156 billion in revenue to the U.S. economy and fueled more than 675,000 jobs in 2012 alone.”

D A TA - D R I V E N M A R K E T I N G I N S T I T U T E

http://missbudgetbeauty.co.uk/

Image: Flickr / Henrik Busch /(CC BY-NC-SA 2.0)

A D A M B A R T L E T T / F L I C K R

– N A TA L I E D K A N E , “ G H O S T S T O R I E S :

D O W E K N O W W H E R E O U R I M A G E S E N D U P O N L I N E ? ” M E D I U M

“Algorithms do not know the context of a photograph, they don’t understand, or pre-empt the

consequences of their own function.”

J A M E S B R I D L E : R E N D E R G H O S T S

http://www.itproportal.com/2014/04/16/aisight-the-surveillance-network-completely-run-by-ai/#ixzz2zciNYE8m

I M A G E : F L I C K R / F E Z B A S H A R AT I A N / ( C C B Y- N C - N D 2 . 0 )

“…it’s not possible to conceive a system that would let a robot understand hundreds of thousands of objects. But the cloud can have all that knowledge. A robot can use the cloud to start learning things about its environment. For example, this object is a cup and so I have to grab it like this…”

-Paolo Pirjanian, CTO, iRobot

I M A G E : F L I C K R / T O D K U R T / ( C C B Y- N C 2 . 0 )

H T T P : / / F O R U M . L I B C I N D E R . O R G / T O P I C / K I N E C T- S D K - B L O C K

S A R A M W A T S O N “ D A TA D O P P E L G Ä N G E R S A N D T H E U N C A N N Y VA L L E Y O F P E R S O N A L I Z A T I O N ” -

T H E A T L A N T I C

“Personalization purports to be uniquely meaningful, yet it alienates us in its mass application.”

http://www.jamessiddle.net/boris-viz/index.html

I M A G E : H A C K E R N E W S

D A N W I L L I A M S I N C V D A Z Z L E AT D C O N S T R U C T 2 0 1 3 | C V D A Z Z L E B Y A D A M H A R V E Y \ I M A G E : R A I N R A B B I T, F L I C K R V I A H O N O R H A R G E R .

— K A T E C R A W F O R D , “ T H E A N X I E T I E S O F B I G D A TA ” T H E N E W I N Q U I R Y

“Surveillant anxiety is always a conjoined twin: The anxiety of those surveilled is deeply connected to the

anxiety of the surveillers.”

I M A G E : M I K E B O S T O C K , H T T P : / / B O S T. O C K S . O R G / M I K E / A L G O R I T H M S /

T H A N K S T O : N A TA L I E D . K A N E S A R A W A T S O N K A T E C R A W F O R D FA R I D A V I S J O A N N E M C N E I L F O R T H E I R I N S P I R I N G R E S E A R C H I N T H I S A R E A .

Thank you!

@ C H A N G E I S T

S S M I T H @ C H A N G E I S T. C O M

C H A N G E I S T. C O M

CHANGE I ST