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作为谷歌的研究科学家，玛格丽特·米切尔帮助开发电脑，它们能够沟通所看到和理解的事情。她警示，如今我们潜意识地将差距，盲点和偏见编码到人工智能中——我们应该考虑今天创造的技术对未来意味着什么。米切尔说：“我们现在所看到的是人工智能进化过程中的一个快照。如果我们希望人工智能以一种帮助人类的方式发展，那么我们需要定义目标和策略，来开通这这条路径。”
adj. 壮观的，令人惊叹的
n. 惊人之举，
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- So, digging more deeply into this,
- 因此，深入挖掘这一点，
- a few years ago I began working on helping computers to generate human-like stories from sequences of images.
- 我几年前开始致力于从图像序列帮助电脑产生类似人类的故事。
- So, one day, I was working with my computer to ask it what it thought about a trip to Australia.
- 所以，有一天，我正在用电脑工作时，询问它对澳大利亚之行的看法。
- It took a look at the pictures, and it saw a koala.
- 它看了看图片，看到一只树袋熊。
- It didn't know what the koala was, but it said it thought it was an interesting-looking creature.
- 它不知道树袋熊是什么，但电脑表示它认为树袋熊看起来是很有趣的生物。
- Then I shared with it a sequence of images about a house burning down.
- 然后我与电脑分享一系列关于房屋烧毁的图像。
- It took a look at the images and it said, "This is an amazing view! This is spectacular!"
- 电脑看了一下图片说：“这是个惊人的景观！这很壮观！”
- It sent chills down my spine.
- 它使我的脊背发冷。
- It saw a horrible, life-changing and life-destroying event and thought it was something positive.
- 电脑看到一个可怕的、改变生活和毁灭生命的事件，并认为这是积极的事情。
- I realized that it recognized the contrast, the reds, the yellows, and thought it was something worth remarking on positively.
- 我意识到电脑认识到红色和黄色的对比，并认为这是值得积极评价的事情。
- And part of why it was doing this was because most of the images I had given it were positive images.
- 部分原因是因为我输入电脑的大部分是积极的图像。
- That's because people tend to share positive images when they talk about their experiences.
- 那是因为人们谈论自己的经历时，倾向于分享积极的图像。
- When was the last time you saw a selfie at a funeral?
- 你上次在葬礼上看到自拍照是什么时候？
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