Almost every day we stumble across articles that give a detailed overview of how Artificial Intelligence will take over all the human jobs and will cause a high rise in the unemployment rate. Sure, that’s one perspective of visualizing the future in the AI age but I believe there are many aspects of human nature that cannot be mimicked by an AI bot or a program. And those are the actual core values that make us ‘human’.

几乎每天我们都偶然发现文章，这些文章详细介绍了人工智能将如何接管所有人类工作，并会导致失业率急剧上升。 当然，这是可视化AI时代的未来的一种观点，但我相信AI机器人或程序无法模仿人性的许多方面。 这些是使我们“人性化”的实际核心价值。

I do agree that many of the jobs done right now by humans can be automated and replaced by faster, more accurate, and precise bots leaving very little room for error. The focus of this post will be to go through the jobs involving intricate human qualities that are not threatened by AI any time soon.

我确实同意，人类现在完成的许多工作都可以实现自动化，并可以由更快，更准确，更精确的机器人代替，而几乎没有错误的余地。 这篇文章的重点将是从事涉及复杂人类素质的工作，这些工作不会很快受到AI的威胁。

We all understand that ‘Change is the only constant!’ This goes for the revamping of jobs too. The advent of technology and the rapid pace of development of devices and services which can replace human jobs in some sectors is not something unheard of. This has been going on since the 18th- 19th century. With the agricultural industry getting transformed with new technological developments, many manual labor jobs were replaced with machines. Then again with the IT and computer revolution, a lot of blue-collar and white-collar jobs were again lost to computers. But a parallel focus point has always been the creation of new jobs along the way too. The new, unheard of before services become a requirement, and if people are in touch with ground reality and they are always on the look-out for the new advancements that are being introduced to the society, then they can always guess timely that their job might become redundant soon. And again, the survival instinct (to earn your sustenance comfortably) pushes them to up-skill themselves. After upskilling, they can be absorbed back, albeit in a different role than before and most of the time, more fulfilling than the previous one.

我们都知道，“变化是唯一不变的！” 这也可以用于重新调整工作。 并非没有听说过技术的出现以及可以取代某些领域的人类工作的设备和服务的快速发展。 自18至19世纪以来一直如此。 随着农业随着新技术的发展而改变，许多体力劳动被机器取代。 然后，随着IT和计算机的革命，计算机再次失去了许多蓝领和白领工作。 但是，与此同时，平行的焦点始终是创造新的工作机会。 全新的，闻所未闻的服务成为必需，如果人们与地面现实保持联系，并且他们一直在寻找引入社会的新进步，那么他们总是可以及时猜测自己的工作可能很快就会变得多余。 再者，生存本能(舒适地维持生计)促使他们提高自己的技能。 在提高技能之后，他们可以被吸收回来，尽管他们的角色与以前不同，而且在大多数情况下比以前更令人满意。

Let’s study about the pillars which actually make us human and understand how the jobs involving these are the safest as of now and are not going to be replaced by AI anytime soon.

让我们研究一下实际上使我们变得人性化的Struts，并了解目前涉及这些Struts的工作如何最安全，并且不会很快被AI取代。

1. Empathy

   同情

2. Creativity

   创造力

3. Judgment

   判断

4. Planning

   规划

5. Physical skill

   体力

1.涉及移情的工作 (1. Jobs involving Empathy)

Can you see AI adopting the job of a nurse or a doctor who is helping a patient calm down before a big surgery? or a teacher who is able to gauge the reason for the slump in the grades of a child due to family stress by observing his/her actions? or a harrowed customer calling a bank’s customer service asking for help after he has noticed a fraudulent activity robbing his whole life’s savings? or a surgeon breaking the news to a patient about a life-altering condition like Cancer? No, right!?

您能看到AI接受护士或医生的工作来帮助患者在大手术前平静下来吗？ 还是能够通过观察孩子的行为来衡量由于家庭压力导致孩子成绩下降的原因的老师？ 还是一个痛苦的客户在发现欺诈活动夺走了他一生的积蓄后，打电话给银行的客户服务寻求帮助？ 还是外科医生向患者发布有关改变生命的疾病(例如癌症)的新闻？ 无权利！？

Thus, we can conclude that empathy is one of the pillars which makes humans — ‘humans’ and no matter how developed AI becomes, it’ll not be replacing jobs which require high empathy, at least not anytime soon. There are so many important jobs that require intricate human understanding, managing emotions, and until, and unless AI can start to ‘feel’, the jury will be out on this sector!

因此，我们可以得出结论，同理心是使人成为“人”的Struts之一，无论AI如何发展，它都不会取代需要高度同情心的工作，至少在不久的将来不会。 有这么多重要的工作需要复杂的人类理解，管理情绪，直到人工智能开始“感觉”到此为止，陪审团将不再从事这一领域！

Here’s an exhaustive article on how AI cannot replace physicians and it makes some really strong points apart from the empathy standpoint that we just discussed. It takes into account non-linear working methods of healthcare professionals (sometimes the causation of a diseases/symptoms is not clear, for instance: in case of poisoning, sometimes the reason can be hidden in places which an AI bot cannot uncover easily) and how bots cannot uncover the multi-layered challenges involved, they can sure help speed up the process and make it more precise but nonetheless, humans will be required to administer and supervise the results and procedures being undertaken by AI for a long time.

这是一篇关于AI如何无法替代医生的详尽文章，除了我们刚刚讨论的同理心观点之外，它还提出了一些真正的要点。 它考虑了医疗保健专业人员的非线性工作方法 (例如，疾病/症状的原因尚不清楚，例如：在中毒的情况下，有时原因可能隐藏在AI机器人无法轻易发现的地方) 机器人如何发现所涉及的多层挑战 ，它们可以肯定地帮助加快流程并使其更加精确，但是尽管如此，仍然需要人类长时间地管理和监督AI正在进行的结果和程序。

Another job that requires highest level of empathy is the Teaching profession. Teachers are the true heroes as they mold the future generation by guiding them when the children are at the most impressionable age. Technological advancements have always been a boon rather than a bane when it comes to education. In the times of this pandemic, teachers benefitted a lot from the technological advancements. Sure, there were some challenges too but hey, change is the only constant, right? Read the following article to read more about this.

另一个需要最高同理心的工作是教学专业。 老师是真正的英雄，因为他们在孩子处于最可印象的年龄时通过指导他们来塑造下一代。 在教育方面，技术进步一直是福音，而不是祸根。 在这种大流行时期，教师从技术进步中受益匪浅。 当然，也有一些挑战，但嘿，变化是唯一不变的，对吧？ 阅读以下文章，以了解有关此内容的更多信息。

2.涉及创造力的工作 (2. Jobs involving Creativity)

In this area, it can be argued that AI has made significant leaps and is now ready to disrupt the creative industry. So, all the chaos that can be explained using howsoever difficult mathematics, equations, logics, etc. can be taken up by an algorithm or an AI bot. But, can all the creativity be replicated by AI? There have been attempts made and let’s take a look at them.

在这一领域，可以说人工智能取得了重大飞跃，现在已经准备好颠覆创意产业。 因此，可以用算法或AI机器人解决所有可以用困难的数学，方程式，逻辑等解释的混乱。 但是，所有创造力都能被AI复制吗？ 已经尝试过，让我们看一下。

Here is an instance when an AI bot tried to write a Harry Potter book and the critics as well as readers have come to the conclusion that the result was nowhere near to the Rowling genius. It did not even make sense in some places. So, after taking a look at this, humans-1: AI:0. Let’s move on to read more.

这是一个例子，当时有一个AI机器人试图写一本《哈利·波特》，而评论家和读者们得出的结论是，结果远不及罗琳·天才。 在某些地方甚至没有意义。 因此，在看了这一点之后，人类1：AI：0。 让我们继续内容。

Here, an AI bot attempted to write Tinder bios and after glancing through the results, you’ll be so disappointed but hey, fret not as humans:2, AI:0. Imagine if AI would have been become successful at this, how scary the dating world would seem (not that it’s easy right now!) but there’ll be a constant fear as to what’s real and what’s AI, the day these attempts become successful.

在这里，一个AI机器人试图编写Tinder的BIOS，浏览结果后，您会非常失望，但是，嘿，烦恼不如人类：2，AI：0。 试想一下，如果AI能够在此方面获得成功，那么约会世界看起来会多么可怕(现在还不那么容易！)，但是当这些尝试成功之日，人们将一直对真正的东西和什么是AI充满恐惧。

Let’s read about the last example that will help us derive the conclusion that AI is still far from replacing human beings in creative jobs. Over here an attempt was made by AI to create inspirational quotes. No need to say but humans:3, AI:0.

让我们阅读最后一个示例，该示例将帮助我们得出结论，即AI仍无法取代从事创造性工作的人类。 AI在这里尝试创建鼓舞人心的报价。 除了人类：3，AI：0。

So, all you beautiful humans who are involved in the creative jobs, we are safe for the time being though upskilling is very important for all of us.

因此，所有从事创意工作的美丽人类，尽管提高技能对我们所有人都非常重要，但我们暂时还是安全的。

3.涉及判断的工作 (3. Jobs involving Judgement)

All the jobs where making judgments constitute an important aspect of the daily responsibilities are safe from AI advancements because they deal in the grey areas of human lives. AI can become an expert in all the black and white areas which can be defined and explained using the mathematics or can be learned by a machine/bot through the reinforcement process but the grey areas are going to be ruled by humans for a long time to come.

做出判断构成日常职责的重要方面的所有工作都不受AI进步的影响，因为它们涉及人类生活的灰色领域。 AI可以成为所有黑色和白色领域的专家，这些领域可以使用数学来定义和解释，或者可以由机器/机器人通过强化过程来学习，但是灰色区域将由人类长时间统治来。

Let’s take a look at some examples. In the domain of the judgments that fall under the purview of legal processes, we have seen several cases where the reason for a crime is not something straightforward, sometimes it occurs in self-defense or some other personal reasons. These types of cases require extreme human understanding to be able to define the sentence for a particular negative activity that has been undertaken by someone. We can’t trust a bot with this, right? At least, not yet!

让我们看一些例子。 在属于法律程序权限的判决范围内，我们看到了一些案件，其中犯罪的原因并不简单，有时是出于自卫或其他个人原因。 这些类型的案例需要极端的人类理解，才能为某人进行的特定负面活动定义句子。 我们不能相信机器人，对不对？ 至少还没有！

Even in the day to day managerial positions, people have to make judgment calls about a plethora of things every day and all of them certainly do not follow a straight line concept while delivering the solutions, ask any manager in any domain for that instance. Thus, jobs involving judgment can be deemed safe from the AI revolution.

即使在日常的管理职位上，人们也必须每天对很多事情做出判断，而在提供解决方案时，所有人当然都不遵循直线概念，因此请任何领域的任何经理问。 因此，可以将涉及判断的工作视为AI革命的安全对象。

4.涉及规划的工作 (4. Jobs involving Planning)

This is actually an amalgamation of all the other traits that we have discussed above. While planning any event, we have to take into consideration-

这实际上是我们上面讨论的所有其他特征的融合。 在计划任何活动时，我们必须考虑-

1. Empathy for all the people involved, there are sensitive areas that have to be tackled delicately when it comes to humans.对于所有参与的人来说，同情心是涉及人类的敏感领域。
2. Creativity is the extra spice needed to transform an ordinary event into a meticulously planned one.创造力是将普通活动转变为精心策划的活动所需的额外香料。
3. Judgment is a trait that is inherently involved in every step while you are planning for anything.当您计划任何事情时，判断是每一个步骤固有的特质。

So, with this we can easily conclude that until and unless the 3 discussed traits of empathy, creativity and judgment can be taken over by AI, jobs involving planning are not going to be transferred to bots.

因此，我们可以很容易地得出结论，除非并且除非人工智能讨论的三个同理心，创造力和判断力能够被接管，否则涉及计划的工作不会转移给机器人。

5.涉及身体技能的工作 (5. Jobs involving Physical skill)

There are so many professions that require physical skills and are also one of the highest paying jobs around the world. Take a look at our athletes, footballers, cricketers, wrestlers and you get my point, right? There is no need to even justify that these jobs are safe from AI revolution :p

有很多需要身体技能的职业，也是全世界薪水最高的工作之一。 看看我们的运动员，足球运动员，板球运动员，摔跤手，你明白我的意思吧？ 甚至没有理由证明这些工作是可以避免AI革命的：p

We shall continue to revel in the sports and rejoice/lament like we have been doing since time immemorial. This is the #1 domain which is not at risk of becoming redundant due to AI superpowers.

自从远古以来，我们将继续陶醉于运动和欢喜/哀叹中。 这是排名第一的域，不会因为AI的超能力而成为冗余域。

This brings us to the end of this post. It's not really tech VS us, at least, not in all the domains. And in the areas where AI is becoming strong, we can upskill ourselves and move to a better position before our job becomes redundant.

这使我们到本文的结尾。 至少在所有领域，这并不是真正的技术对我们。 在AI日益强大的领域，我们可以提高自己的技能，并在工作变得多余之前搬到更好的位置。

This was just a light post to look at the areas where AI is not strong enough yet and is not expected to become strong anytime soon. But, as a data scientist, I would like to end this post with a note that Artificial Intelligence can really be a boon for us rather than being a bane if we are cautious and do not let AI overstep its boundaries in the future as those boundaries are very much in the hands of the developers and the scientists who are taking this domain forward.

这只是一个简短的帖子，介绍了AI不够强大的领域，并且预计很快不会变得强大。 但是，作为一名数据科学家，我想在这篇文章的结尾处加注一点：如果我们谨慎行事，并且将来不要让AI越过边界，那么AI确实可以为我们带来福音，而不是成为祸根这些都在推动这一领域向前发展的开发人员和科学家手中。

Keep watching this space for more on Data Science, Machine learning, and Artificial Intelligence!

请继续关注此空间，以获取有关数据科学，机器学习和人工智能的更多信息！

Happy Learning, Happy Growing!

快乐学习，快乐成长！