參考動態網3月1晚報道

How I Learned To Stop Worrying And Love AI

放下擔憂，愛上報酬智能

hile AI will dramatically transform how work is done and who does it， its overall impact won't be to displace humans but to augment them. And the myriad， miraculous ways that this technology will be able to improve people's lives should excite and inspire.

Most of the fears of artificial intelligence are overblown if not altogether unfounded. For one thing， the machine-learning models that are being deployed in enterprises today are lightyears away from the kind of general intelligence that humans possess and that the public （with their Terminator and Ex Machina ideas of artificial intelligence） thinks of when it thinks of AI/ML. These models are all depth and no breadth: very powerful at what they've been trained to do—image recognition， speech-to-text， disease diagnosis—but extremely limited in the imaginative scope of what they can do beyond that. Today's AI lacks a human child's common sense ability to do something as simple as， say， reliably pick out a chihuahua from a blueberry muffin.

In fact， far from replacing people， the most promising products being developed are the ones that marry human judgment and intuition with AI's brute-force processing power. The reality is that because code has been commoditized， most innovation is now being created at the interface with end users—at the level where empathy is essential. Consumers don't care， ultimately， how advanced a company's technology is; they care about how simple the solution it offers is.

Artificial intelligence isn't a Sarah Connor-killing， jobs-eradicating threat. It's a tool， which in the past decade， has arrived at a point where it is finally practical to deploy across the tech ecosystem. There isn't and won't be a single AI company. Instead， you will see artificial intelligence woven into the fabric of everything—whether you're interacting with a virtual personal assistant like Siri or Alexa， or trying to find the fastest route to the airport， or optimizing which color blouse you'd be most likely to buy from your monthly subscription commerce service， or how to detect which drones flying above Levi's Stadium are friend or foe.

And perhaps it's only when a technology is fully integrated into daily life， and recedes into the background of our imagination， that people stop fearing it. After all， the most successful automations are no longer called robots—they're called cruise control， washing machines， and elevators. So: be not afraid. The machines are rising，and they will carry us higher.

縱然報酬智能將極大地變幻處世還好嗎故及由誰來舉行，但它的總體熏陶并不是包辦生人，而是堅韌生人。這項本事無妨以普遍神奇的方法革新人類的存在，我們該為此歡天喜地。

對于報酬智能的大普遍擔憂縱然并非毫無依照，也受到了延遲。發端，姑且企業中應用的板滯深造情勢與生人具備的那種一致智能以及群眾（抱著片子《落幕者》和《呆板姬》里那種對報酬智能的回顧）在計劃報酬智能或板滯深造時想到的那種一致智能有著并行不悖。那些模型只有深度，沒有廣度：在生人演示它們做的處事上，它們特殊洪大，比如圖像辯別、語音轉翰墨、病癥確診，但在它們除此之外還能做什么這個標題上的構想力極為有限。不日的報酬智能不及生人童子的知識本事，連一些特殊大概的處事都沒轍舉行，比如領略辯別吉娃娃和藍莓松餅。

畢竟上，研制中的那些最有長進的產品遠不會包辦人，而是會將生人簡直定力和直覺同報酬智能的洪大處治本事貫穿起來。本質局面是，由于代碼保持商品化，變革現在大多出身于結果用戶界面——在同理心至關心重視要的層面。歸根結底，奢侈者并不留心一家公司的本具有多超過，她們留心的是它需要的處治安置有多大略。

報酬智能并不是一項會殺死薩拉·康納（影戲《落幕者》中的要害腳色——翻譯注）、驅除處事崗位的威嚇。它是一種貨色，在將來10年里，它保持震撼到究竟能實質安排到一切本事生態體制的水平。世上沒有、也不會有獨一無二的報酬智能公司。你會創作報酬智能無處不在——縱然你是與像Siri或Alexa那么的臆造局部扶助互動，試圖找到去往飛機場的最快路途，維持優化你最有大約從每月訂閱的商務工作效率中購買哪件彩色襯衫，抑或還好嗎查明在利維斯體育場上空漫游的無人駕駛飛機哪些是敵、哪些是友。

大約只有當一項本事十足融入但凡存在，并慢慢淡出我們的構想時，人們才不團聚對它感受擔憂。究竟，最勝利的機械化不復被稱為板滯人——它們被稱為巡弋遏止、洗衣機和電梯。以是，不要萎縮。板滯正在興盛，它們會帶我們飛得更高。（李莎譯自2月4日美利堅合眾國《福布斯》雙周報網站）