在未來，智能城市會帶來很多好處，比如減少污染和提高交通系統效率。但是，在《財富》雜志最近舉辦的科技頭腦風暴大會上，一個專家小組稱，智能城市也可能給我們帶來許多未曾意料到的后果。

本周的早些時候，來自能源、交通、政府、金融和其他行業的專家們匯聚一堂，討論了時下大家最關心的話題，其中被多次提及的一個迫切問題是，如何防止黑客入侵日益數字化的智能電網系統和運輸網絡。

銀泉網絡公司是一家位于硅谷的智能電網公司。首席執行官麥克·貝爾稱：“很多城市的政府部門在采購時，會選擇最便宜的，而不是最安全的。那些做采購決策的人不了解技術?！?

1Concern是一家利用人工智能對自然災害帶來的潛在損失進行評估的公司。其首席執行官阿罕默德·萬尼也持相同的看法，他認為：“政府有責任至少對這些技術進行審查?！?

并非只有覆蓋整個城市的智能技術容易成為攻擊對象。這次圓桌會議也提到了家庭智能電器的問題。在“物聯網”環境中，所有東西都與家庭網絡相連，許多人甚至不知道自己可能已經暴露在黑客的攻擊范圍中。

智能城市可能會帶來的另一個意想不到的后果是什么？如果自動駕駛的車輛成為主流，人類將會逐漸學得比機器更聰明，所以有可能在城市中心造成大量的混亂。比方說，人們走在無人駕駛汽車的前面是不會被車撞到的，因為這種汽車被設定的程序就是，當感知到有人在車輛前方時，車輛就自動停下來。但是，那些位于它們后方的車輛會做什么樣的反應呢？

許多專家認為，要想解決這些日益迫近的問題（不管是好是壞），政府和公司之間應該開展公私合作（PPP）。（財富中文網）

譯者：Amelia Huang

In the future, smart cities will likely bring about many benefits, like less pollution and more efficient transportation systems. But they could also bring about many unintended consequences, according to a panel of speakers at Fortune’s recent Brainstorm Tech conference in Aspen, Colo.

The group of experts from energy, transportation, government, finance, and other sectors gathered to debate the top-of-mind topic earlier this week. One of the most pressing questions that repeatedly came up was how to keep hackers from breaching increasingly digitized smart grid systems and transportation networks.

“A lot of cities are buying what’s cheapest, not what’s most secure,” said Mike Bell, CEO of Silicon Valley-based smart grid company Silver Spring Networks.“People who are making buying decisions don’t understand the technology.”

Ahmad Wani, CEO of 1Concern agreed: “Cities have to have the responsibility to at least vet these technologies.” (1Concern uses artificial intelligence to assess potential damages from natural disasters.)

It’s not only city-wide, municipal technologies that could be vulnerable to attack. The roundtable also touched on home appliances—in an “Internet of Things” environment, where everything is connected to home networks, many people don’t even know that they may be exposing themselves to hackers.

Another unintended consequence of smarter cities? If autonomous vehicles become more mainstream, people could learn to outsmart the robots, creating mass confusion in urban centers. For example, if people walk in front of a driverless car, it won’t hit them—it is programmed to stop if it sees pedestrians in its path. But what about the car behind them?

The solution, according to many of the panelists, is public/private partnerships that work toward solving some of these looming issues—the good and the bad.