I'm here at Davos,

我現在在達佛斯 (瑞士)

and if there's a hashtag for this year, it would be AI.

若要說今年的主題標籤，那會是人工智慧

Everybody is talking about big data, robotics

大家都在談論大數據和機器人

How is the society gonna cope with all these change?

而社會應該如何因應這些改變呢？

How are businesses gonna cope with the disruption with their models?

企業又該用什麼對策面對 (人工智慧帶來的) 革新？

There is a dark side that a lot of tech companies are starting to grapple.

在許多科技公司著手解決問題的過程中卻出現問題

It has to do with privacy, autonomy as individuals.

而問題包含了個人隱私及自主權

How are we gonna navigate regulation and growth?

我們又該如何制定規範呢？

A very interesting session I was in looking into disruption and insurance business where personalized a sensor in your cars, in your kitchens or you can name it.

我曾參加了一個有趣的會議，是有關保險公司在車上、廚房或是你想要的地方客製感應器

Insurance companies can write individuals policy just for you.

保險公司甚至可以幫你客製保單

That's gonna create risk and rewarded mail so to increase bifurcation.

但這有可能會增加風險和分歧

There could be groups of people that won't be insurable anymore.

甚至會有很多人無法列入保險名單之中

These are just one of the challenges I am hearing about.

而這只是我聽說的其中一項難題而已

I've heard a robotics professor talked about a data built of rights.

我曾聽一個機器人學的教授談論有關數據的權利

People are being able to have more equality with the companies that are using their data and metadata in ways that they may not know.

人們有權知道企業是如何使用他們的數據和後設資料

A lot of people are saying the US are gonna have to move more toward what Europe's doing in terms of data privacy.

很多人都在說美國應該要多多向歐洲學習數據資料的隱私

If we gonna bridge the major gaps of not only the information equality but actual wealth equality.

如果要縮小美國的資訊及貧富差距