AI will take your job, AI can sort out even the messiest data, AI will take over the world, AI is new. AI has been touted in the recent past and with it comes myths that often lead to misunderstanding of the technology.

人工智能将接替您的工作，人工智能甚至可以整理最混乱的数据，人工智能将接管世界，人工智能是新的。 人工智能在最近被吹捧，随之而来的神话常常导致人们对该技术的误解。

Eliezer Yudkowsk says that “By far the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.” this is the greatest danger we face in order to conclude we need to grasp fully what AI is. In this article we take a look at the top myths about Artificial intelligence we get to see what is true and what is not.

Eliezer Yudkowsk 说：“到目前为止，人工智能最大的危险是人们得出结论太早，他们无法理解。” 为了得出结论，我们需要充分掌握什么是AI，这是我们面临的最大危险。 在本文中，我们了解了关于人工智能的顶级神话，我们了解了什么是真实的，什么不是真实的。

“understanding is much deeper than knowledge there are very many people who know artificial intelligence but very few understand AI”

“了解比知识要深得多，有很多人了解人工智能，但很少有人了解人工智能”

1. AI是新的。 (1. AI is new.)

Did you know that AI dates back to the 19th century when an English mathematician and writer, Lady Ada Lovelace predicted that “a machine might compose elaborate and scientific pieces of music of any degree of complexity or extent” this was later advanced in the 1940s when a Bombe machine was created by Alan Turing.

您是否知道AI可以追溯到19世纪，当时英国的数学家和作家Lady Ada Lovelace曾预测“一台机器可以合成任何程度或程度的精致而科学的音乐”，后来在1940年代得到了发展。 阿兰·图灵 ( Alan Turing )创建了一台Bombe机器。

When Arthur Lee Samuel computer program beat him in a game from self learning this changed the narrative in AI. With the change in times the explanation behind AI has also changed with more an more leads in AI being seen in the past decades.

当亚瑟·李·塞缪尔(Arthur Lee Samuel)的计算机程序通过自学在游戏中击败他时，这改变了AI的叙述。 随着时代的变化，人工智能背后的解释也发生了变化，在过去的几十年中，人工智能的领先优势越来越明显。

2.人工智能将接管世界 (2. AI will take over the world)

A common notion in AI is that it will take over the world. In the movie i robot where we see robots coming together an plan an AI takeover. Will this happen once we invest in this technology? NO artificial intelligence will not take over as we see in I Robot and the terminator movies this is science fiction which is a drafted reality where they follow the script.

人工智能的一个普遍观念是，它将占领整个世界。 在电影《 我是机器人》中 ，我们看到机器人汇聚一堂，进行了AI收购计划。 一旦我们投资这项技术，这种情况会发生吗？ 正如我们在《 I Robot》和《终结者》电影中所看到的那样，任何人工智能都不会接管这是科幻小说，这是他们遵循剧本的草拟现实。

The movie terminator we see a military AI takeover where the machines take over the world this is scenario is alarming and scary, but as we said before they follow the script.

电影终结者我们看到了军事AI的接管，机器占领了世界，这种情况令人震惊和恐惧，但是正如我们在脚本遵循之前所说的那样。

In the case of giving answers AI will much superior and fast due to its high processing power. Imaging looking for meaning of a word in the dictionary where it takes roughly two minutes where in a computer it takes seconds to define a word. If we are to be certain of no AI takeover we are to make ai to work for us.

在给出答案的情况下，由于AI的高处理能力，它会更加优越和快速。 想象一下在字典中查找单词的含义大约需要两分钟，而在计算机中定义单词需要几秒钟。 如果我们要确定没有AI接管，那就让AI为我们工作。

3. AI可以整理混乱的数据 (3. AI can sort out messy data)

NO AI cannot be able to sort out this data. Messy data brings confusion to any user. For an algorithm to use data an learn from it, the data needs to be clean. Data engineers take the raw data clean and arrange it then give it to a machine in order to give a meaningful conclusion. AI needs clean data in order to learn from it hence cannot sort the messy data.

没有AI不能整理这些数据。 凌乱的数据给任何用户带来混乱。 为了使算法能够使用数据并从中学习，数据需要干净。 数据工程师将原始数据清理干净并整理，然后将其提供给机器，以得出有意义的结论。 AI需要干净的数据以便从中学习，因此无法对凌乱的数据进行排序。

4. AI将接替您的工作 (4. AI will take your job)

This fear has been experienced in any developing technology. From the industrial revolution people have had this fear. AI will not take your job. It is AI and humans not against humans. AI will impose a challenge for one to advance in their fields making them eligible for the new openings to be created by AI.

任何开发技术都已经历过这种恐惧。 由于工业革命，人们对此感到恐惧。 AI不会接您的工作。 这是人工智能和人类，而不是人类。 人工智能将给人一个挑战，使他们在自己的领域中前进，使他们有资格获得由人工智能创造的新职位。

Check https://willrobotstakemyjob.com to confirm if AI will take your job.

检查https://willrobotstakemyjob.com以确认AI是否会接替您的工作。

5.人工智能是100％客观的 (5. AI is 100% objective)

AI is dependent on data and algorithms used by the AI are dependent on the people who make them. This will depend on the data being fed example if a machine has the task of choosing a candidate for a fashion and design post the AI is more likely to pick a female candidate to a male due to the dominance of females in the field. In this case a bias on the males is seen this makes AI not 100% objective.

AI依赖于数据，而AI使用的算法则取决于创建它们的人。 如果一台机器的任务是为时尚和设计选择候选人，那么由于该领域女性的主导地位，AI更有可能将女性候选人选为男性，这将取决于所提供的数据示例。 在这种情况下，可以看到男性有偏见，这使得AI并非100％客观。

6.所有的AI都一样 (6. all AI are the same)

AI is created similar to the other. This is a common understanding which happens not to be true AI is created different depending on the purpose intended. there are 3 types of AI Narrow AI, Artificial General Intelligence (AGI) and Super-intelligence.

AI的创建与其他类似。 这是一个普遍的理解，碰巧不是真的AI的创建取决于预期的目的。 AI窄AI有3种类型：人工智能(AGI)和超级智能。

AI Narrow

AI窄

This is the only class of AI that currently sees success It is based on a single task several tasks.

这是目前唯一获得成功的AI类。它基于单个任务和多个任务。

Artificial General Intelligence (AGI)-(hypothetical)

人工智能(AGI)-(假设的)

This is hypothetical and is yet to be implemented. this is a machine that has the ability to apply intelligence in any problem rather than use the data to give an answer.

这是假设的，尚待实现。 这是一台能够对任何问题应用智能而不是使用数据给出答案的机器。

Super-intelligence-(hypothetical)

超智能(假设)

It is yet to be achieved this is an AI that might surpass the human intelligence. Super intelligence AI is more uncertain bringing fears when once implemented.

尚未实现的是，这可能是超越人类智慧的人工智能。 超级人工智能一旦实施便更加不确定。

With the classification we see AI being created different from the other.

通过分类，我们看到创建的AI与其他AI不同。

摘要 (Summary)

Understanding AI is the primary goal.

了解AI是主要目标。

“understanding is much deeper than knowledge there are very many people who know artificial intelligence but very few understand AI”

“了解比知识要深得多，有很多人了解人工智能，但很少有人了解人工智能”

The breakthrough in AI will be completely fulfilled once we grasp Artificial intelligence. Once we understand it we are able to clear the misconceptions and to grasp what comes with AI.

一旦掌握了人工智能，人工智能的突破将完全实现。 一旦理解了它，我们就可以清除误解并掌握AI附带的功能。

Hope you liked our article leave a comment below on the myths on Artificial Intelligence

希望您喜欢我们的文章，在下面对人工智能的神话发表评论

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