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It requires some very smart thinking to maintain privacy and yet learn from all the data that's out there.
維護隱私,但仍然可以從既有的資訊中學習是需要一些聰明機制的。
The things that are most private are the content of your email messages, your medical records, your financial status, including what you do on taxes.
最私人的事是你的電子信件內容、你的醫療紀錄、你的財務狀況,包含你怎麼納稅。
And for me, the upside is in social services and health.
而對我來說,好處是在社會服務和健康方面。
If we had a way of saying yes, we collect data, but it's not revealing individual records.
如果我們有共識,那麼我們就可以蒐集資訊,卻不會透露個人紀錄。
Well, you can have, I believe, data privacy and still see things.
事實上,我相信你可以擁有資訊的隱私,同時仍可以獲得資訊。
Like, oh is this drug causing side effects for a certain group of people?
像是,喔這種藥會對特定的族群造成副作用嗎?
Now you don't want the medical record to be revealed publicly.
現在你不希望你的醫療紀錄被公開。
But you know if you permission in certain researchers to look for correlations, they have to see a lot of that data in order to find and say, wait a minute, this drug shouldn't be used by this group of people.
但你知道的如果你同意讓特定的研究人員去觀察這些資料的關聯性,他們必須看很多資料以找到並說,等等,這種藥不應該給這群人使用。
Likewise, social programs.
同樣地,社會計畫也是如此。
You know the government puts in all these different, okay, here's this tax credit for this, this low cost housing thing.
你知道的政府以各種不同的方式推動這些計畫,好的,這是為了扣抵稅額,這是為了降低房價。
Actually examining, are the beneficiaries really getting what you expected?
實際地檢驗後,受益人真的有得到你所期待的嗎?
The data gathering could let you be a lot smarter about that.
蒐集資料可以讓你對於這些事有更多的了解。