評論
打印
I realized then that we had to think deeply about how the technology we work on today looks in five years, in 10 years.
那時我了解到，我們必須要深入思考我們現今努力發展的科技，在五年、十年后會是什么樣子。
Humans evolve slowly, with time to correct for issues in the interaction of humans and their environment.
人類演進很慢，有時間可以去修正在人類互動以及其環境中的議題。
In contrast, artificial intelligence is evolving at an incredibly fast rate.
相對的，人工智能的演進速度非常快。
And that means that it really matters that we think about this carefully right now
那就意味著，很重要的是我們現在要如何仔細思考這件事，
that we reflect on our own blind spots, our own biases,
我們要反省我們自己的盲點，我們自己的偏見，
and think about how that's informing the technology we're creating and discuss what the technology of today will mean for tomorrow.
并想想它們帶給我們所創造出的科技什么樣的信息，并討論現今的科技在將來代表的是什么含義。
CEOs and scientists have weighed in on what they think the artificial intelligence technology of the future will be.
對于未來的人工智能應該是什么樣子，首席執行官和科學家的意見是很有份量的。
Stephen Hawking warns that "Artificial intelligence could end mankind."
史蒂芬·霍金警告過：“人工智能可能終結人類。”
Elon Musk warns that it's an existential risk and one of the greatest risks that we face as a civilization.
伊隆·馬斯克警告過，它是個生存風險，也是我們人類文明所面臨最大的風險之一。
Bill Gates has made the point, "I don't understand why people aren't more concerned."
比爾·蓋茲有個論點：“我不了解為什么人們不更關心一點。”
But these views -- they're part of the story.
但這些看法--它們是故事的一部分。
The math, the models, the basic building blocks of artificial intelligence are something that we call access and all work with.
數學、模型、人工智能的基礎材料，是我們所有人都能夠取得并使用的。
We have open-source tools for machine learning and intelligence that we can contribute to.
我們有機器學習和智慧用的開放原始碼工具，我們都能對其做出貢獻。
And beyond that, we can share our experience.
在那之外，我們可以分享我們的經驗。
We can share our experiences with technology and how it concerns us and how it excites us.
分享關于科技、它如何影響我們、它如何讓我們興奮的經驗。
We can discuss what we love.
我們可以討論我們所愛的。
We can communicate with foresight about the aspects of technology that could be more beneficial or could be more problematic over time.
我們能帶著遠見來交流，談談關于科技有哪些面向，隨著時間發展可能可以更有幫助，或可能產生問題。
