Kate Crawford Quotes

Kate Crawford
Kate Crawford
Australian Writer
Been Big Data People Will You
Related authors: Clive James Garth Nix Henry Lawson Mem Fox Morris West P. L. Travers Robyn Davidson Tansy Rayner Roberts
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

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