7 professional skills of the future (that AI and robots can not do better than humans)



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When I talk to people from AI (artificial intelligence) and the 4th industrial revolutionI am often asked what skills we should develop to prepare ourselves.

My answer is twofold: First, it is important to understand developments in AI and technology. & nbsp; Find out what progress has been made and understand what the AI ​​can do. And second, focus on building skills in areas where robots can not succeed.

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Jobs AI can do better than humans

As artificial intelligence progresses every year from year to year, popular media often like to exaggerate what it is capable of to make the headlines that catch the eye and cause concern.

In fact, while technology is making great strides in simplifying and automating some of the work, the truth is that many of these tasks are actually much simpler and less numerous than you think.

Machine learning, for example, is effective at taking an input type, call it Input A, and produce a simple answer, Exit B. Think of a program that learns to recognize whether or not there is a cat in a Photo. We grab a series of photos, A, and the program tells us if the pictures contain cats, B.

(If you have photos on your Mac, you can see for yourself.Open the program and look for your own collection of cat or dog pictures or even something like a cake or tea. More results will be accurate, and some, often fun, will not be.)

Although this can potentially simplify and automate many types of work, it also has two main disadvantages. First, the program requires huge amounts of training data to begin producing the result B reliably. So, in our example, you will have to provide the program with tens or even hundreds of thousands of examples of photographs, and indicate to the program whether or not it contains cats so that it can know to what a cat looks like in many different contexts.

Andrew Ng, professor at Stanford, written for the Harvard Business Review, has a good rule for determining what types of jobs are ripe for automation: "If a typical person can do a mental task in less than a second, we can probably automate it using AI now or in the near future. ," he writes.

Therefore, even if there is a great potential here to automate the types of tasks requiring this type of model, entries A to B, including scanning a security video to detect any suspicious behavior, warn them conduct pedestrians on the road, mark hateful or abusive comments online, and etc. – using AI to automate these tasks also requires a lot of investment and upstream work.

As these technologies develop and become more universal, we will likely see humans losing jobs to computers (but not Star Wars-style responsive robots) in the near future. Jobs currently occupied by human beings requiring the same type of entry A to B are probably entrusted to computers, including those of receptionist, telemarketer, accounting clerk, proofreader, deliverymen and even sellers. .

Jobs AI can not do better than humans

Fortunately for us, mere humans, there are a significant number of jobs that require more than just a calculation from Entry A to Exit B.

Many jobs require additional human qualities, such as communication, empathy, creativity, strategic thinking, questioning and dreaming. Collectively, we often call these qualities "soft skills", but do not be fooled by their name; These soft skills will become a strong currency in the job market, as AI and technology take over some of the tasks that can be done without the help of staff.

For example:

  1. Empathy and communication: Although AI is used in medical applications to more accurately detect diseases by scanning, I certainly would not want to receive an automated call to announce the news of my cancer. Even though we are progressing towards emotional computingwe are very far from any technology that can truly recognize human emotions and respond appropriately. It is therefore unlikely that any work requiring empathy, such as that of primary care physician, caregiver or therapist, will be outsourced in the near future.
  2. Critical ThinkingI love the old sci-fi shows in which the human being asks the computer what he has to do in a dreadful situation. The computer predicts a probability of failure of 99% – but the human goes and does the thing anyway, and usually succeeds. For me, it's a beautiful metaphor for the fact that no matter how much our artificial intelligence improves, we still need a human to make judgments and make critical decisions, even for: "go with our guts," in certain situations. A more contemporary example might be that law firms use Amnesty International to identify relevant documents in court cases, but we still need a human judge to rule on a decision. (A computer judge and jury would be a totally different science fiction horror story.)
  3. Creativity: Computer programs are effective at creating a number of options, but they are not necessarily effective at providing creative quality choices. Although AI can technically produce food, music, or works of art, the results can be … Well, less than inspiring. We've probably all seen the fun generated AI lists receipts or paint colors or even inspirational quotes. All works that require real creativity, such as writers, engineers, inventors, entrepreneurs, artists, musicians, etc., are probably safe for a long time, depending on these results.
  4. Strategy: In business in particular, we are starting to see a lot of automation of marketing and other practices. For example, I can ask a program to send me a tweet at a specific time of day, every day. And while they can save a lot of time, automation tools are just that: tools. They do not provide the overall strategy needed to give individual tasks meaning and relevance. Any work requiring strategic thinking is likely to be secure, and improving your skills in this area can help you put your job to the test of robots.
  5. Technology management, installation and maintenance: As long as robots do not have their own robots to install and maintain them, it will take men to design, plan, install, manage and maintain any robotics, technology or artificial intelligence systems. This brings us back to my first point about understanding what technology can do; the more you master the technology, the more you will help to implement it and maintain it.
  6. Physical skills: While robots are created, they can do things more and more difficult, like make your morning latte, there is still a significant number of physical skills that robots do not master. In addition, we humans love to watch each other perform incredible physical feats (the World Cup is just one example). So, if you have amazing physical abilities, from crafts to sports, you are also safe for the moment.
  7. Imagination and vision: Finally, a quality that I really can not imagine that a robot or an AI owns is precisely this: the imagination. The current artificial intelligence is to take existing data and make logical inferences based on the parameters we give them. The imagination and the dream are simply not programmable skills. Activists, entrepreneurs, visionaries, opinion leaders, writers, speakers and others have a distinct advantage over technology in this area, and that is not going to change any time soon.

In short, if you are worried that your job might be outsourced to technology, the best thing to do right now is to work on your overall skills. Work on communication, strategic thinking, problem solving, empathy and creativity. This could possibly prevent your career from being supported by robots and even earn you a salary increase in the near future.

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When I talk to people from AI (artificial intelligence) and the 4th industrial revolutionI am often asked what skills we should develop to prepare ourselves.

My answer is twofold: First, it is important to understand developments in AI and technology. Learn about progress and understand what the AI ​​can do. And second, focus on building skills in areas where robots can not succeed.

Jobs AI can do better than humans

As artificial intelligence progresses every year from year to year, popular media often like to exaggerate what it is capable of to make the headlines that catch the eye and cause concern.

In fact, while technology is making great strides in simplifying and automating some of the work, the truth is that many of these tasks are actually much simpler and less numerous than you think.

Machine learning, for example, is effective at taking an input type, call it Input A, and produce a simple answer, Exit B. Think of a program that learns to recognize whether or not there is a cat in a Photo. We grab a series of photos, A, and the program tells us if the pictures contain cats, B.

(If you have photos on your Mac, you can see for yourself.Open the program and look for your own collection of cat or dog pictures or even something like a cake or tea. More results will be accurate, and some, often fun, will not be.)

Although this can potentially simplify and automate many types of work, it also has two main disadvantages. First, the program requires huge amounts of training data to begin producing the result B reliably. So, in our example, you will have to provide the program with tens or even hundreds of thousands of examples of photographs, and indicate to the program whether or not it contains cats so that it can know to what a cat looks like in many different contexts.

Andrew Ng, professor at Stanford, written for the Harvard Business Review, has a good rule for determining what types of jobs are ripe for automation: "If a typical person can do a mental task in less than a second, we can probably automate it using AI now or in the near future. ," he writes.

Therefore, even if there is a great potential here to automate the types of tasks requiring this type of model, entries A to B, including scanning a security video to detect any suspicious behavior, warn them conduct pedestrians on the road, mark hateful or abusive comments online, and etc. – using AI to automate these tasks also requires a lot of investment and upstream work.

As these technologies develop and become more universal, we will likely see humans losing jobs to computers (but not Star Wars-style responsive robots) in the near future. Jobs currently occupied by human beings requiring the same type of entry A to B are probably entrusted to computers, including those of receptionist, telemarketer, accounting clerk, proofreader, deliverymen and even sellers. .

Jobs AI can not do better than humans

Fortunately for us, mere humans, there are a significant number of jobs that require more than just a calculation from Entry A to Exit B.

Many jobs require additional human qualities, such as communication, empathy, creativity, strategic thinking, questioning and dreaming. Collectively, we often call these qualities "soft skills", but do not be fooled by their name; These soft skills will become a strong currency in the job market, as AI and technology take over some of the tasks that can be done without the help of staff.

For example:

  1. Empathy and communication: Although AI is used in medical applications to more accurately detect diseases by scanning, I certainly would not want to receive an automated call to announce the news of my cancer. Even though we are progressing towards emotional computingwe are very far from any technology that can truly recognize human emotions and respond appropriately. It is therefore unlikely that any work requiring empathy, such as that of primary care physician, caregiver or therapist, will be outsourced in the near future.
  2. Critical ThinkingI love the old sci-fi shows in which the human being asks the computer what he has to do in a dreadful situation. The computer predicts a probability of failure of 99% – but the human goes and does the thing anyway, and usually succeeds. For me, it's a nice metaphor for the fact that no matter how advanced our artificial intelligence, we still need a human to make judgments and make critical decisions, even for "going with our guts, "in certain situations. A more contemporary example might be that law firms use AI to identify relevant documents in court cases, but we still need a human judge to rule on a decision. (A computer judge and jury would be a totally different science fiction horror story.)
  3. Creativity: Computer programs are effective at creating a number of options, but they are not necessarily effective at providing creative quality choices. Although AI can technically produce food, music, or works of art, the results can be … Well, less than inspiring. We've probably all seen the fun generated AI lists receipts or paint colors or even inspirational quotes. All works that require real creativity, such as writers, engineers, inventors, entrepreneurs, artists, musicians, etc., are probably safe for a long time, depending on these results.
  4. Strategy: In business in particular, we are starting to see a lot of automation of marketing and other practices. For example, I can ask a program to send me a tweet at a specific time of day, every day. And while they can save a lot of time, automation tools are just that: tools. They do not provide the overall strategy needed to give individual tasks meaning and relevance. Any work requiring strategic thinking is likely to be secure, and improving your skills in this area can help you put your job to the test of robots.
  5. Technology management, installation and maintenance: As long as robots do not have their own robots to install and maintain them, it will take men to design, plan, install, manage and maintain any robotics, technology or artificial intelligence systems. This brings us back to my first point about understanding what technology can do; the more you master the technology, the more you will help to implement it and maintain it.
  6. Physical skills: While robots are created, they can do things more and more difficult, like make your morning latte, there is still a significant number of physical skills that robots do not master. In addition, we humans love to watch each other perform incredible physical feats (the World Cup is just one example). So, if you have amazing physical abilities, from crafts to sports, you are also safe for the moment.
  7. Imagination and vision: Finally, a quality that I really can not imagine that a robot or an AI owns is precisely this: the imagination. The current artificial intelligence is to take existing data and make logical inferences based on the parameters we give them. The imagination and the dream are simply not programmable skills. Activists, entrepreneurs, visionaries, opinion leaders, writers, speakers and others have a distinct advantage over technology in this area, and that is not going to change any time soon.

In short, if you are worried that your job might be outsourced to technology, the best thing to do right now is to work on your overall skills. Work on communication, strategic thinking, problem solving, empathy and creativity. This could possibly prevent your career from being supported by robots and even earn you a salary increase in the near future.