Directions: There are 2 passages in this section. Each passage is followed by some questions or unfinished statements. For each of them there are four choices marked A), B), C) and D). You should decide on the best choice and mark the corresponding letter on Answer Sheet 2 with a single line through the centre.
Questions 46 to 50 are based on the following passage.
California has been facing a drought for many years now, with certain areas even having to pump freshwater hundreds of miles to their distribution system. The problem is growing as the population of the state continues to expand. New research has found deep water reserves under the state which could help solve their drought crisis. Previous drilling of wells could only reach depths of 1,000 feet, but due to new pumping practices, water deeper than this can now be extracted (抽取) . The team at Stanford investigated the aquifers (地下蓄水层) below this depth and found that reserves may be triple what was previously thought.
It is profitable to drill to depths more than 1,000 feet for oil and gas extraction, but only recently in California has it become profitable to pump water from this depth. The aquifers range from 1,000 to 3,000 feet below the ground, which means that pumping will be expensive and there are other concerns. The biggest concern of pumping out water from this deep is the gradual settling down of the land surface. As the water is pumped out, the vacant space left is compacted by the weight of the earth above.
Even though pumping from these depths is expensive, it is still cheaper than desalinating (脱盐) the ocean water in the largely coastal state. Some desalination plants exist where feasible, but they are costly to run and can need constant repairs. Wells are much more reliable sources of freshwater, and California is hoping that these deep wells may be the answer to their severe water shortage.
One problem with these sources is that the deep water also has a higher level of salt than shallower aquifers. This means that some wells may even need to undergo desalination after extraction, thus increasing the cost. Research from the exhaustive study of groundwater from over 950 drilling logs has just been published. New estimates of the water reserves now go up to 2,700 billion cubic meters of freshwater.
 就油气开采而言，钻探深度超过1000英尺是有利润的，但是钻探到这个深度抽水直到最近在加利福尼亚州才变得划算。地下蓄水层位于地下1000至3000英尺的地方，这意味着抽水的成本非常高昂，并且还有其他顾虑。 从这么深的地方抽水最令人担忧的问题就是陆地地面的逐渐下陷。随着水被抽出来，上层土地的重量会压缩被抽空的空间。
Questions 51 to 55 are based on the following passage.
The AlphaGo program’s victory is an example of how smart computers have become.
But can artificial intelligence (AI) machines act ethically, meaning can they be honest and fair?
One example of AI is driverless cars. They are already on California roads, so it is not too soon to ask whether we can program a machine to act ethically. As driverless cars improve, they will save lives. They will make fewer mistakes than human drivers do. Sometimes, however, they will face a choice between lives. Should the cars be programmed to avoid hitting a child running across the road, even if that will put their passengers at risk? What about making a sudden turn to avoid a dog? What if the only risk is damage to the car itself, not to the passengers?
Perhaps there will be lessons to learn from driverless cars, but they are not super-intelligent beings. Teaching ethics to a machine even more intelligent than we are will be the bigger challenge.
About the same time as AlphaGo’s triumph, Microsoft’s ‘chatbot’ took a bad turn. The software, named Taylor, was designed to answer messages from people aged 18-24. Taylor was supposed to be able to learn from the messages she received. She was designed to slowly improve her ability to handle conversations, but some people were teaching Taylor racist ideas. When she started saying nice things about Hitler, Microsoft turned her off and deleted her ugliest messages.
AlphaGo’s victory and Taylor’s defeat happened at about the same time. This should be a warning to us. It is one thing to use AI within a game with clear rules and clear goals. It is something very different to use AI in the real world. The unpredictability of the real world may bring to the surface a troubling software problem.
Eric Schmidt is one of the bosses of Google, which owns AlphaGo. He thinks AI will be positive for humans. He said people will be the winner, whatever the outcome. Advances in AI will make human beings smarter, more able and “just better human beings.”
 大概在阿尔法围棋胜利的同时，微软的“聊天机器人”的情况却开始向坏的方向发展。这款软件被命名为泰勒，被设计用来回复18到24岁之间的年轻人发来的消息。泰勒应该能从她收到的消息中学习。 最初的设计是，她能够慢慢地增强处理对话的能力，但是有些人教给泰勒种族主义观念。当她开始为希特勒说一些好话的时候，微软将其关掉并删除了她最令人厌恶的消息。
阿尔法围棋的胜利和泰勒的失败差不多是同时发生的。这对我们来说应该是一个警示。在有着清晰的规则和明确的目标的比赛中使用人工智能是一回事。在真实世界中使用人工智能是另外一回事。真实世界的不可预测性可能会使棘手的软件问题浮出水面。 埃里克·施密特是谷歌的老板之一，谷歌即阿尔法围棋程序的拥有者。 他认为人工智能将会对人类有益。他说，无论结果如何，人类都将是赢家。人工智能的发展进步将会使人类更加聪明，更有能力，并且“只会成为更好的人类”。