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Jobs Created by Artificial Intelligence

Jobs Created by Artificial Intelligence

Jobs created by Artificial intelligence in numerous field of life. Like Prompt Engineer Jobs, AI Researcher jobs, Expert in natural language processing jobs, Robotic Process Jobs and many more.

Prompt Engineer Job

Imagine I ask you for something but I don’t give you the information or context you need. Of course, you will try to help me but your answer may not be that accurate. But if there was more information, the answer might be better. We take the example of various generative AI models that are proving to be more effective in understanding natural language, which is the language you and I communicate. A prompt engineer is someone who designs prompts. Prompts are requests given to the AI ​​tool.

AI tool best answers a question

An AI tool best answers a question when the prompt engineer gives it effective instructions in a truly textual format that requires precision and context. In March, the World Economic Forum named the prompt engineer ‘three new Jobs’, while Business Insider named it the most popular job in generative AI. Forbes magazine made the same point. In April, Time magazine said that this type of job doesn’t require a “computer engineering degree or advanced programming skills.”

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As an example, several generative AI models are showing to be more effective than traditional AI models at understanding natural language, which is what you and I communicate in every day. Engineers who design prompts are called prompt engineers. Read More

Technical training

Some agree that technical training is not necessary for this job, but say that the role requires decision-making, data analysis and creativity in difficult situations. Several job ads seen by said that the candidate should have knowledge of programming languages ​​such as Python and TensorFlow, as well as experience with machine learning models. But not all experts are enthusiastic about prompt engineering. He believes that this is a profession that could become extinct given the rapid development of artificial intelligence.

Prompt Engineering is not a Big Business

“I suspect that prompt engineering is not going to be a big business in the long run, it’s not the job of the future,” University of Pennsylvania associate professor Ethan Mullick tweeted.

Other skill to be more competitive

Others see it as a skill to be more competitive, for example, as Microsoft Excel used to be. BBC Future writer and editor Richard Fisher wrote that ‘It is said that if you prompt engineering If you’re good, artificial intelligence can’t replace you, and you can aspire to a bigger salary. Although it remains to be seen whether this will continue to be the case.

Artificial intelligence researchers

Their role is to identify ways to use artificial intelligence to overcome the problems and limitations that organizations have. It has been written that they ‘learn from large data sets and from what is learned create ideas and plans to build new artificial intelligence technologies that data scientists turn into reality.

Soft Skills

An artificial intelligence researcher must have soft skills, they must control their emotions, they must have the ability to make decisions in difficult situations, they must be able to tolerate adversity and quickly recover from its effects, and the ability to adapt to changing situations is essential. According to the University of Leeds, these are key skills, because ‘in the position you will be in, you will have to use your mind for new ways of thinking. Technically, ‘using data to make predictions about how artificial intelligence programs will perform and the ability to analyze data using ‘Rapid Miner’ or ‘Sketch Engine” will also be essential.

Software engineering, statistics and business

According to Elena Ibanez, an artificial intelligence researcher should have expertise in three areas, including software engineering, statistics and business. In other words, it is a complete profile that uses all of their technical knowledge to improve business.

Expert in natural language processing

About Natural Language Processing experts, we can say that they specialize in humanistic linguistics and help the software development team in language processing. This profession usually requires a degree in philosophy, linguistics or translation and interpretation. It does not require much technical knowledge, but if the candidate has expertise in natural language processing or a master’s degree in computational linguistics. The CV becomes stronger. Computational Linguistics is an interdisciplinary field that has been studied for decades. It tries to teach machines the logic of spoken and written language so that they can later execute commands through model training. It also makes sense that only data scientists are behind chatbots. And software engineers are not only philosophies and technologists.

Expert in robotic process automation

This position involves managing software systems that automate repetitive and manual tasks in a company. According to Elena Ibanez, there are several degrees to train in, such as programming and specializations related to robotic process automation in particular. According to companies like Microsoft, if a company adopts robotic process automation, their productivity increases. Microsoft’s website states that ‘RPA (Robotic Process Automation) automates various activities including data transfer, updating customer profiles, data entry, inventory management, and other complex tasks. It is beneficial for your business.

Algorithm Auditor

Elena Ibanez explains that algorithm auditors review the algorithms of applications or systems and ensure that they do not contain biases that would cause them to discriminate against people based on gender, race or age. In fact, algorithm auditors must have a practical understanding of how algorithms can affect people. Jobs and Careers Singularity Experts’ patch notes that this involves teaming up with data scientists to regularly review algorithms. Kerr notes the importance of doing work that ensures algorithms ‘are transparent, fair and explainable’ that maintain neutrality once published.

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AI poses legal and ethical issues such as privacy and surveillance, bias or discrimination, and perhaps the philosophical challenge of human judgment.

Law and ethics experts with knowledge of artificial intelligence

Professor Mathilde Powis, an expert in copyright law, ethics and new technologies. Also advises governments, organizations and businesses. On the impact of artificial intelligence on handling sensitive data. He explains that some of the key questions that artificial intelligence. Raises are whether intellectual property rights are violate. when artificial intelligence is train with information on the Internet or social networks. ‘Obviously there is a potential risk that the technology you develop. Will misuse by others, even if that was never your intention, warns Professor Mathilde Powis.

Avoid Misinformation

They further say that wealth, for example, can use to spread misinformation, commit fraud, destabilize elections, etc. Therefore, it is important that artificial intelligence is create and use. Procedures must designe from the outset to address the legal, social and ethical implications. And this is one area of ​​law that is being shape by artificial intelligence. There is a need for lawyers who can bridge these two worlds. One of them is commercial law, which includes intellectual property.

Cybersecurity

Criminal law and cybersecurity are two worlds. That are more or less intertwined, but artificial intelligence is something that straddles both. “This is a product that has great commercial potential and, at the same time, potential for abuse.” A lawyer who wants to enter the field of artificial intelligence. For example advises a company that wants to bring ‘a perfect artificial intelligence product. To market’ with a commercial law framework and a regulatory framework in the Internet.

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