[20180430] 對 AI 的盲目樂觀情緒

Talking with Meredith Broussard about ‘Artificial Unintelligence’

By Christine Zhang @LATimes

(Credit: 我由 The Self-Driving Office Edition @SlateMoney 得知本書, Broussard 在該集 podcast 上的討論也值得一聽。)

這是 LATimes 對 Artificial Unintelligence 作者 Meredith Broussard 的訪問。Broussard 認爲目前社會充斥着對 AI ,或更廣泛的來說 —— 科技的盲目樂觀,有不少商人刻意以誇大的不實廣告來博取注意力以及資金,她呼籲我們停下腳步認真思考新科技的局限性,評估 AI 有那些容易被濫用的地方,以適當預防濫用。

作爲一名從資訊轉到新聞專業的紐約大學 (NYU) 新聞學院教授,Broussard 也解釋了 data journalism 在現代社會中的重要性。

Broussard 發明了“Technochauvinism” 這個詞 —— 來形容對科技的盲目樂觀、認爲科技可以解決一切問題的態度。

I needed a term to encompass the kind of bias that says the technological solution is always better than every other solution. What I’ve realized after being a software developer and being in the high-tech world for many years is that we can’t automatically assume the technological solution is the best one. There’s more nuance.

“One Laptop per Child” 計劃是 “Technochauvinism” 的一個案例:

… they didn’t think about all of the things that go along with implementing the technology… They were assuming that everybody would just take a laptop and figure it out. So what happened? Well, the same thing that always happens. People used the laptops to watch movies, watch TV and watch porn… All of these logistical issues that technochauvinists did not think through contributed to the failure of One Laptop per Child.

Data Journalism:

One of the things about data journalism is that it’s actually far more expensive and time-consuming than anybody expects. Doing a very high-level computational investigation takes 10 times as long as a regular investigation, and it takes far more people… They’re extremely valuable, and they’re high-impact. But they’re not easy to do.

不對科技業做明確規範已證明是失敗的做法,現在需要政治家做出努力:

I think at this point, we do need more regulation. The whole self-regulation thing has not worked out very well.

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