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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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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When you're devoted to a greater freedom in the world, you're willing to compromise something you love.
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People understand what is good for them in the long run. In the long run, what is good for people is that India's economy continues to grow at clipping pace, 8% and above, that itself brings host of benefits to the people. It brings better roads, it brings better schools, brings more money to the communities, it brings more jobs.
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Football is made up of all kinds of conflict. In a dressing room, between players, between us and the manager, between us and loads of people who don't seem to matter. It's constant and harsh sometimes.
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My father-in-law just happens to be a global procurement guru. Now retired, he was the global head of procurement for some of the biggest companies in the world as well as our very own treasury.
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It was so popular, so more people identify me from 'Friends' than anything else.
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I have no time for the endless nostalgia: 'Oh gosh I used to . . . ' Life is too short; I don't have any time for sitting and saying I miss things. What's the point? Go and do something else.
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I'm very fortunate to have the privilege of working with directors like Bill Condon and Paul Thomas Anderson, who I think is one of the greatest filmmakers of our time.
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Everyone keeps asking me when I have time to rest. I'll tell you when: I get all my sleep on planes. If the flight is five hours, my nap is five hours! I'll sleep through the whole flight.
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If I was to get money, that's the first thing you would get: a '96 Impala.
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You know how people say awards don't mean anything? Hello! I think the energy around them makes everyone cuckoo.
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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.
