Kate Crawford Quotes
Algorithms learn by being fed certain images, often chosen by engineers, and the system builds a model of the world based on those images. If a system is trained on photos of people who are overwhelmingly white, it will have a harder time recognizing nonwhite faces.
Quotes to Explore
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Well, we like to let down our hair and pep it up at the dances, but we keep it slower when we broadcast. We have to please everybody, and that softer music appeals to the larger amount of people. It's like eating too much cake. You have to have your steak too.
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I always get sick of these conversations where people are so obsessed with pixels, with high definition, and even with technology in general. I find it just dull and heartless. And so I wanted to use only the worst machines.
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People have to evolve.
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People in love don't see gender, colour or religion. Or age. It's about the other person, the one that you love and who loves you. You don't think of them in terms of a label. You just go with your heart.
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I would like to spend Christmas in different countries all over the world. I love seeing how different cultures celebrate the holidays in their own unique ways.
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People who have a sense of peace that their priorities are in the right place also have a sense of humility and a realistic view on life.
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I don't know what I want to be when I grow up. It's funny - people ask me that, and I don't know what to tell them.
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I'll be in a series for three or four episodes, but then I'll be off the series, and downtime, as an actor, is a little more than most people understand. Most of the time you're just sitting around taking coffee with friends.
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We hunger to understand, so we invent myths about how we imagine the world is constructed - and they're, of course, based upon what we know, which is ourselves and other animals. So we make up stories about how the world was hatched from a cosmic egg or created after the mating of cosmic deities or by some fiat of a powerful being.
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I was in chains all the time, 24 hours a day, for three years. I tried to wear those chains with dignity, even if I felt that it was unbearable.
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It's always been a great survival value for people to believe they belong to a superior tribe. That's just in human relationships.
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There was no welfare state, and people had to rely mainly on the Poor Law - that was all the state provided. It was very degrading, very humiliating. And there was a means test for receiving poor relief.
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I have always hated machinery, and the only machine I ever understood was a wheelbarrow, and that but imperfectly.
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When I started off, I didn't only ride to fame on my looks though many people I know think otherwise.
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My mom told me a long time ago, 'Never get in a fight with a lady.'
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I got divorced, which was not a good thing for a revivalist minister. It did not go down well. I'd already been banned from a couple churches for my jokes. So one day I woke up and decided it was time to start living for myself.
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When you're devoted to a greater freedom in the world, you're willing to compromise something you love.
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I don't want to be disrespectful to people who are incredible at their craft, but the truth is, if I didn't get paid for it, I wouldn't act. The best-paying jobs are usually the worst films. You're a very small cog in a big machine.
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I don't spend time wondering what might be next; I just focus on trying to savor every day.
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There's a picture of my dorm room in the college yearbook as the most messy, most disgusting room on the Harvard campus, where I was an undergraduate.
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No one is a plain white room. I hate going into a home that is done to the nines but has nothing do with the homeowner - no knickknacks, no art that has anything to say about the person who lives there.
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It's really rare that you come across a Southern character that's not stereotyped, vilified or aggrandized.
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It never dawned on me at any particular time of my life that people are paid tremendous money to sing.
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Algorithms learn by being fed certain images, often chosen by engineers, and the system builds a model of the world based on those images. If a system is trained on photos of people who are overwhelmingly white, it will have a harder time recognizing nonwhite faces.
