A Quote by Sarah Jeong
Artificial intelligence is just a new tool, one that can be used for good and for bad purposes and one that comes with new dangers and downsides as well. We know already that although machine learning has huge potential, data sets with ingrained biases will produce biased results - garbage in, garbage out.
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If you put garbage in a computer nothing comes out but garbage. But this garbage, having passed through a very expensive machine, is somehow ennobled and none dare criticize it.
Mayor de Blasio wants to eliminate garbage. He believes New York City produces way too much garbage. Well, heck, forget about producing too much garbage. What about late-night talk shows?
We need to be vigilant about how we design and train these machine-learning systems, or we will see ingrained forms of bias built into the artificial intelligence of the future.
It's just the garbage in/garbage out trick. If you're not taking any fiction in, good or bad, then how can you be spitting any back out (good or bad)? I can't even imagine trying to write without reading. Really, I can hardly write a novel at all if I'm not reading just book after book.
Forget artificial intelligence - in the brave new world of big data, it's artificial idiocy we should be looking out for.
You forget how crazy people are in New York, all the people on the sidewalk. When you leave here, everyone's in their car. But I get back here - I just went to throw something in the garbage, and there was a guy in the garbage. And he wasn't looking in it; he is in it, looking out over 9th Ave like a fisherman.
New York City has finally hired women to pick up the garbage, which makes sense to me, since, as I've discovered, a good bit of being a woman consists of picking up garbage.
New technologies can be used for destructive purposes. The answer is to develop rapid-response systems for new dangers like a bioterrorist creating a new biological virus.
Machine learning and artificial intelligence applications are proving to be especially useful in the ocean, where there is both so much data - big surfaces, deep depths - and not enough data - it is too expensive and not necessarily useful to collect samples of any kind from all over.
By their very nature, heuristic shortcuts will produce biases, and that is true for both humans and artificial intelligence, but the heuristics of AI are not necessarily the human ones.
We discovered a mechanism which is like the garbage machine of the body. We need to remove damaged proteins and create new ones in their place, and we discovered the machine that does this.
The organic gardener does not think of throwing away the garbage. She knows that she needs the garbage. She is capable of transforming the garbage into compost, so that the compost can turn into lettuce, cucumber, radishes, and flowers again...With the energy of mindfulness, you can look into the garbage and say: I am not afraid. I am capable of transforming the garbage back into love.
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.
Being on 'The Vampire Diaries' feels almost like a game you play when you're a kid. When I was a kid, I used to have to take the garbage out at night on Wednesdays. I lived out in the country. I'd take the garbage out, and I used to pretend that I was the only person in the whole world, except for one other person, and he was looking for me.
You can't blame science for being used for evil purposes. What you can do is say, 'This is an exceedingly powerful tool.' And you want to make sure it is used for good purposes, not bad ones. That is a political decision.
Good thoughts and actions can never produce bad results; bad thoughts and actions can never produce good results … We understand this law in the natural world, and work with it; but few understand it in the mental and moral world—although its operation there is just as simple and undeviating— and they, therefore, do not cooperate with it.
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