Facebook has shut down a controversial chatbot experiment that saw two AIs
develop their own language to communicate.
近日Facebook緊急關停瞭一個備受爭議的聊天機器人實驗，原因是試驗中兩個AI竟然發明出瞭自己的語言並進行溝通交流。
The social media firm was experimenting with teaching two chatbots, Alice
and Bob, how to negotiate with one another.
當時Facebook正在進行一個實驗，教兩個機器人(愛麗絲和鮑勃)如何談判。
However, researchers at the Facebook AI Research Lab (FAIR)廚房油煙處理 found that they
had deviated from script and were inventing new phrases without any human
input.
然而Facebook人工智能研究實驗室的研究人員發現，機器人們偏離瞭既定的腳本，在沒有人類輸入的情況下自己發明瞭新的語言。
The bots were attempting to imitate human speech when they developed their
own machine language spontaneously - at which point Facebook decided to shut
them down.
在機器人們自發地發明自己的機器語言時，它們還試圖模仿人類講話——而此時Facebook決定將其立即關停。
’Our interest was having bots who could talk to people,’ Mike Lewis of
Facebook’s FAIR programme told Fast Co Design.
來自Facebook人工智能研究實驗室的麥克·劉易斯向Fast Co Design表示稱：“我們的本意是想研發可以和人類交談的機器人。”
Facebook’s Artificial Intelligence Researchers (Fair) were teaching the
chatbots, artificial intelligence programs that carry out automated one to one
tasks, to make deals with one another.
當時Facebook的人工智能研究人員正在教授兩臺機器人(這些機器人是AI程序，載有自動一對一任務)如何跟對方做交易。
As part of the learning process they set up two bots, known as a dialog
agents, to teach each other about human speech using machine learning
algorithms.
作為學習過程的一部分，他們建造瞭兩個機器人，被稱之為對話代理，用機器學習算法互相教授人類的語言。
The bots were originally left alone to develop their conversational
skills.
最開始研究人員讓機器人們自己發展會話技巧。
When the experimenters returned, they found that the AI software had begun
to deviate from 油煙靜電機normal speech.
而當實驗人員返回時，他們發現AI軟件已經開始偏離正常語言瞭。
Instead, they were using a brand new language created without any input
from their human supervisors.
事實上，它們正在使用一種全新的語言，而這種語言是在沒有任何人類輸入的情況下由機器人自己發明的。
The new language was more efficient for communication between the bots, but
was not helpful in achieving the task they had been set.
這種語言在機器人間交流更有效率，但是對於完成既定任務卻沒有任何幫助。
’Agents will drift off understandable language and invent codewords for
themselves,’ Dhruv Batra, a visiting research scientist from Georgia Tech at
Facebook AI Research (FAIR) told Fast co.
來自佐治亞理工學院的巴特拉的Facebook人工智能研究實驗室的一名訪問研究科學傢，他對Fast
co表示稱：“機器人代理偏離瞭可理解的語言，發明瞭自己的語言。”
The programmers had to alter the 油煙處理機價格way the machines learned language to
complete their negotiation training.
程序員們不得不改變機器人學習語言的方式，從而完成既定的談判訓練。
Writing on the Fair blog, a spokesman said: ’During reinforcement learning,
the agent attempts to improve its parameters from conversations with another
agent.
在該實驗室博客上發佈聲明時，一位發言人表示：”在強化學習過程中，機器人代理企圖通過和其他代理的對話來提高自己的參數。“
（編輯：何瑩瑩）
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