Question

【題目】 Let us all raise a glass to AlphaGo and the advance of artificial intelligence. AlphaGo，

DeepMind’s Go-playing AI，just defeated the best Go-playing human，Lee Sedol. But as we drink to its success. we should also begin trying to understand what it means for the future.

The number of possible moves in a game of Go is so huge that. in order to win against a player like Lee. AlphaGo was designed to adopt a human—like style of gameplay by using a relatively recent development--deep learning. Deep learning uses large data sets，“machine learning”algorithms （計(jì)算程序） and deep neural networks to teach the AI how to perform a particular set of tasks. Rather than programming complex Go rules and strategies into AlphaGo，DeepMind designers taught AlphaGo to play the game by feeding it data based on typical Go moves. Then，AlphaGo played against itself, tirelessly learning from its own mistakes and improving its gameplay over time. The results speak for themselves.

Deep learning represents a shift in the relationship humans have with their technological creations. It results in AI that displays surprising and unpredictable behaviour. Commenting after his first loss，Lee described being shocked by an unconventional move he claimed no human would ever have made. Demis Hassabis. one of DeepMind's founders，echoed this comment：“We're very pleased that AlphaGo played some quite surprising and beautiful moves. ”

Unpredictability and surprises are—or can be—a good thing. They can indicate that a system is working well，perhaps better than the humans that came before it. Such is the case with AlphaGo. However，unpredictability also indicates a loss of human control. That Hassabis is surprised at his creation's behaviour suggests a lack of control in the design. And though some loss of control might be fine in the context of a game such as Go，it raises urgent questions elsewhere.

How much and what kind of control should we give up to AI machines? How should we design appropriate human control into AI that requires us to give up some of that very control? Is there some AI that we should just not develop if it means any loss of human control? How much of a say should corporations，governments，experts or citizens have in these matters? These important questions, and many others like them，have emerged in response，but remain unanswered. They require human，not human - like，solutions.

So as we drink to the milestone in AI, let's also drink to the understanding that the time to answer deeply human questions about deep learning and AI is now.

【1】What contributes most to the unconventional move of AlphaGo in the game?

A. The capability of self-improvement.

B. The constant input of large data sets.

C. The installation of deep neutral networks.

D. The knowledge of Go rules and strategies.

【2】A potential danger of Al is _____.

A. the loss of human control B. the friendly relationship

C. the fierce competition D. the lack of challenge

【3】How should we deal with the unpredictability of AI?

A. We should stop AI machines from developing even further.

B. We should call on the government to solve these problems for us.

C. We should rely on ourselves and come up with effective solutions.

D. We should invent even more intelligent machines to solve everything.

【4】What's the author’s attitude towards this remarkable advance in AI?

A. Supportive. B. Optimistic.

C. Doubtful. D. Cautious.

Answer 1

【答案】

【1】 A

【2】 A

【3】 C

【4】 D

【解析】

這是一篇夾敘夾議的文章。這篇文章作者結(jié)合人工智能AlphaGo戰(zhàn)勝韓國棋手李世石的圍棋比賽展開，闡述了AI的運(yùn)作原理以及作者的思考．

【1】推理判斷題。答案定位在第二段Then，AlphaGo played against itself, tirelessly learning from its own mistakes and improving its gameplay over time. The results speak for themselves.可知，AI的學(xué)習(xí)過程是通過不斷和自己比賽，吸取經(jīng)驗(yàn)獲得自我提高，故選A。

【2】細(xì)節(jié)理解題。答案定位在第四段However，unpredictability also indicates a loss of human control.可知，不可預(yù)測(cè)性也表明失去了人類的控制，故選A。

【3】推理判斷題。答案定位在第五段They require human，not human - like，solutions.可知，他們需要人類，只有人類自己努力才最可能找出解決方案，故選C。

【4】細(xì)節(jié)理解題。答案定位在最后一段So as we drink to the milestone in AI, let's also drink to the understanding that the time to answer deeply human questions about deep learning and AI is now.

可知作者對(duì)于AI的先進(jìn)性持謹(jǐn)慎態(tài)度，讓時(shí)間來證明這一切。A. Supportive.支持的； B. Optimistic.樂觀的；C. Doubtful.可疑的；D. Cautious.謹(jǐn)慎的，故選D。