今年德勤面试满分作文

今年秋招的我算是半只脚过关，接下来就是开启自己不一样的人生路程了。

其实，秋招是一场战役，兵马未动，粮草前行。首先准备简历。我曾说过，就算实践经历不出彩，也不要慌，好好抽时间，梳理一下，你做过的各类项目和参加的创新比赛。按照最难忘、最喜欢、最有成就感的事对自己的前二十年的学习生活进行梳理归类，提取出有记忆点的经历，经过语言包装，按照目标、时间、过程、结果的表述方式，把自己的故事说清楚，讲生动。

说下面试。我的面试过程也挺常规的，给大家说一下问的问题吧：

自我介绍

对于审计工作的了解

谈谈最近实习的经历

会不会觉得审计会很枯燥

未来的职业规划

说说个人的特点，为什么适合做审计

选择审计的原因是什么

有什么问题想要问的

德勤作文题

我记得笔试的时候，我抽到的作文题就是：

50 %工作交给机器人，你觉得世界会怎样?

当时在考场上写的比较慌乱，后来结束后自己整理了一下，这边给大家提供一篇范文，大家可以参考一下。如果有更好的版本，可以联系我，一起交流学习。

This is a type of “deep learning” that allows machines to process information for themselves on a very sophisticated level, allowing them to perform complex functions like facial recognition. Bigdata is speeding up the AI development process, and now there are some examples that AI is widely used in our daily life. First, it can be used for ridesharing Apps like Uber. With the help of AI, we can determine the price of your ride by computing optimal pickup locations, as well as for fraud detection.

Second, your regular, everyday financial transactions are also heavily reliant on AI and machine learning. It decreases mistakes and risks by using facial recognition or other AI technologies. Also, it will contribute to provide some financial decisions automatically by computing your daily trading data.

Third, it can be a robot to improve eldercare. By using the AI, the robot could help seniors with everyday tasks and allow them to stay independent and in their homes for as long as possible, which improves their overall well-being.

In the short term, there are concerns that clever machines capable of undertaking tasks done by humans until now will swiftly destroy millions of jobs. The AI is programmed to do something beneficial, but it develops a destructive method for achieving its goal. What’s worse, if we cannot catch up with the speed of AI’s learning, it is possible that we will lose our control of AI and even being controlled by the super machine made by ourselves.

But I am less gloomy about AI's prospects. First the machines will do a lot of jobs for us and help us to solve dangerous things. That should be positive if we manage it well. Secondly, if we fear to be surpassed and only want to be easy in present circumstances, that would be a great mistake for missing the opportunity to develop. I do believe that we should control the development of AI by directing it to the positive force. This not only allows the public to trust it more, but also helps its human counterparts to advance their fields of study. The hype over recent successes like Alpha Go, the first AI to beat a professional player of Go, might have us believe that we are on the cusp of an AI revolution. But, we are still in a long way from it. So, don’t stop it.