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Data and data sets are not objective; they are creations of human design. We give numbers their voice, draw inferences from them, and define their meaning through our interpretations.
Kate Crawford
Design
Sets
Our
Define
Draw
Objective
Give
Data
Voice
Through
Inference
Human
Them
Meaning
Creations
Interpretations
Numbers
Data will always bear the marks of its history. That is human history held in those data sets.
Kate Crawford
History
Will
Sets
Marks
Those
Data
Bear
Always
Human
Held
Human History
Big data sets are never complete.
Kate Crawford
Big
Sets
Complete
Data
Never
Vivametrica isn't the only company vying for control of the fitness data space. There is considerable power in becoming the default standard-setter for health metrics. Any company that becomes the go-to data analysis group for brands like Fitbit and Jawbone stands to make a lot of money.
Kate Crawford
Fitness
Health
Money
Space
Power
Control
Group
Analysis
Considerable
Data
Only
Like
Make
Becomes
Becoming
Lot
Brands
Any
Stands
Company
Default
Surveillant anxiety is always a conjoined twin: The anxiety of those surveilled is deeply connected to the anxiety of the surveillers. But the anxiety of the surveillers is generally hard to see; it's hidden in classified documents and delivered in highly coded languages in front of Senate committees.
Kate Crawford
Anxiety
Those
Hidden
See
Classified
Delivered
Generally
Highly
Documents
Always
Senate
Front
Committees
Languages
Hard
Connected
Twin
Deeply
Histories of discrimination can live on in digital platforms, and if they go unquestioned, they become part of the logic of everyday algorithmic systems.
Kate Crawford
Digital
Become
Live
Everyday
Systems
Logic
Unquestioned
Part
Go
Histories
Discrimination
Platforms
While many big-data providers do their best to de-identify individuals from human-subject data sets, the risk of re-identification is very real.
Kate Crawford
Best
Sets
Data
Risk
Individuals
Real
Providers
Very
While
Many
While massive datasets may feel very abstract, they are intricately linked to physical place and human culture. And places, like people, have their own individual character and grain.
Kate Crawford
Character
Culture
People
Own
Physical
Individual
Abstract
Feel
Like
Massive
Linked
Very
May
Human
Grain
Place
While
Places
When dealing with data, scientists have often struggled to account for the risks and harms using it might inflict. One primary concern has been privacy - the disclosure of sensitive data about individuals, either directly to the public or indirectly from anonymised data sets through computational processes of re-identification.
Kate Crawford
Privacy
Risks
Sets
Has-Been
About
Data
Directly
Struggled
Indirectly
Computational
Through
Individuals
Primary
Concern
Disclosure
Dealing
Scientists
Been
Account
Often
Inflict
Either
Processes
Sensitive
Public
Might
Using
Only by developing a deeper understanding of AI systems as they act in the world can we ensure that this new infrastructure never turns toxic.
Kate Crawford
World
AI
Understanding
Ensure
Systems
Only
Never
Developing
New
Toxic
Infrastructure
Act
Turns
Deeper
As AI becomes the new infrastructure, flowing invisibly through our daily lives like the water in our faucets, we must understand its short- and long-term effects and know that it is safe for all to use.
Kate Crawford
Daily
Water
AI
Our
Must
Through
Long-Term
New
Like
Know
Safe
Understand
Becomes
Effects
Short
Infrastructure
Use
Lives
Daily Lives
Flowing
The fear isn't that big data discriminates. We already know that it does. It's that you don't know if you've been discriminated against.
Kate Crawford
You
Fear
Big
Data
Know
Does
Been
Discriminated
Against
We should always be suspicious when machine-learning systems are described as free from bias if it's been trained on human-generated data. Our biases are built into that training data.
Kate Crawford
Training
Free
Our
Systems
Data
Bias
Biases
Always
Built
Been
Trained
Suspicious
Should
There's been the emergence of a philosophy that big data is all you need. We would suggest that, actually, numbers don't speak for themselves.
Kate Crawford
You
Speak
Big
Philosophy
Would
Emergence
Data
Been
Themselves
Actually
Suggest
Need
Numbers
Facebook is not the world.
Kate Crawford
Facebook
World
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
Kate Crawford
You
People
Problem
Big
Think
Sets
Data
More
More And More
Fact
Because
Dealing
Discrimination
Precise
Being
In Fact
Form
Forms
Used
Being Used
Think Big
If we start to use social media data sets to take the pulse of a nation or understand a crisis - or actually use it to deploy resources - we are getting a skewed picture of what is happening.
Kate Crawford
Social Media
Picture
Nation
Sets
Pulse
Resources
Crisis
Data
Take
Understand
Getting
Deploy
Happening
Social
Skewed
Use
Media
Actually
Start
I was attacked by a dog when I was a toddler, and my injuries were so bad, I spent quite a bit of my childhood in and out of hospital. Books were absolutely my salvation during those years.
Kate Forsyth
Dog
Books
Spent
Bit
Those
Out
Bad
Attacked
Absolutely
Hospital
Were
Years
Salvation
Quite
Quite A Bit
Childhood
Toddler
Injuries
I wrote my novel 'Bitter Greens' as the creative component of a Doctorate of Creative Arts and am now looking at the history of the Rapunzel tale as my theoretical component.
Kate Forsyth
History
Creative
Looking
Bitter
Component
Tale
Doctorate
Wrote
Am
Greens
Arts
The History Of
Theoretical
Novel
Now
Once upon a time, I was a little girl sick in the hospital, and my mother gave me a copy of 'Grimm's Fairy Tales' to comfort me.
Kate Forsyth
Time
Me
Mother
Girl
Sick
Gave
Once
Hospital
Tales
Comfort
Fairy
Fairy Tales
Little
Little Girl
Copy
Many people think fairy tales and retellings of fairy tales are only for children, but I'm not the only writer to take an old tale and retell it for a sophisticated adult audience.
Kate Forsyth
People
Old
Think
Only
Writer
Take
Adult
Tale
Sophisticated
Tales
Fairy
Fairy Tales
Audience
Children
Many
Every word we speak calls on 37 muscles and thousands of nerves. It's not surprising that sometimes these nerves and muscles fail us.
Kate Forsyth
Speak
Sometimes
Word
Every
Thousands
Nerves
Fail
Calls
Surprising
Us
Muscles
We all want to win against all odds. We all want to be loved. We all wish it was possible to change our world and to make our world a better place.
Kate Forsyth
Change
World
Win
Better
Wish
Odds
Our
Our World
Possible
Better Place
Make
Want
Loved
Place
Against
Fairytales were never really meant for children; they were meant as cautionary tales for teenagers on the verge of growing up.
Kate Forsyth
Teenagers
Never
Tales
Verge
Were
Cautionary
Up
Children
Really
Meant
Growing
Growing Up
To tell the truth, fairytales have never gone out of style. They have been told and retold for thousands of years, finding new shapes and structures with each new generation of tellers.
Kate Forsyth
Truth
Generation
Style
Gone
Out
Tell
Thousands
Finding
Thousands Of Years
Structures
Shapes
Never
New
New Generation
Been
Years
Each
I would never write a sentence that didn't have a nice rhythm, or at least I wouldn't leave it to be published like that. It seems to me that prose mustn't be prosaic.
Kate Grenville
Me
Nice
Would
Seems
Write
Never
Prose
Like
Least
Leave
Rhythm
Sentence
Published
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