A Quote by Kate Crawford

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
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.
Anybody who has been discriminated against, who comes from a group that's been discriminated against, knows what it's like.
We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.
Facebook collects a lot of data from people and admits it. And it also collects data which isn't admitted. And Google does too. As for Microsoft, I don't know. But I do know that Windows has features that send data about the user.
If there's age discrimination - and there may be - I've always felt that the person who discriminates is hurt more than the person being discriminated against, if the second person shucks it off and moves forward.
Amateurism is the strongest form of discrimination in sports. Because it discriminates against the underprivileged, it discriminates against the poor. If we want sports to go back to the wealthy, let's make it amateur again.
I know from personal experience what it's like to be discriminated against. I remember people telling me, 'Ladies don't become lawyers,' and now I look at America and know what can be done.
I have to be honest: I don't get many, if any - I don't know that I've ever received a phone call in my office from somebody that says they've been discriminated against based on their sexual orientation.
Those labeled felons may be denied the right to vote, are automatically excluded from juries, and may be legally discriminated against in employment, housing, access to education, public benefits, much like their grandparents or great grandparents may have been discriminated against during the Jim Crow era.
He who says, "I know no fear," is no hero. No man knows courage unless he does know fear, and has that in him which is superior to fear, and conquers it.
MapReduce has become the assembly language for big data processing, and SnapReduce employs sophisticated techniques to compile SnapLogic data integration pipelines into this new big data target language. Applying everything we know about the two worlds of integration and Hadoop, we built our technology to directly fit MapReduce, making the process of connectivity and large scale data integration seamless and simple.
We were born with natural rights. We don't need civil rights. [African-Americans] don't need civil rights. They don't need them. They have inalienable rights granted by God in the Constitution. I mean, I'm discriminated against all the time. I don't care. It doesn't bother me. [I'm discriminated against] because I'm old. I'm too old to get a job as a game show host. They say, well, the guy's 71 and in five years he'll be 76. And I'm a one per center, and I'm absolutely discriminated against as a one per center.
Have you ever been hated, or discriminated against I have, I’ve been protested and demonstrated against.
As a British Muslim, I am no stranger to prejudice. I know what it's like to be discriminated against just because of your background or religion.
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.
Kids coming from very difficult economic circumstances in urban areas are in some ways discriminated against in ways that are similar to the way people with intellectual disabilities are discriminated against. People are afraid of them. People sometimes assume that they don't have skills, gifts or abilities to contribute.
Big data has been used by human beings for a long time - just in bricks-and-mortar applications. Insurance and standardized tests are both examples of big data from before the Internet.
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