The expert spoke about the dangers of AI when writing a resume

The use of artificial intelligence (AI) when writing a resume can play a cruel joke on a candidate. Polina Petrova, HR Director at Huntflow HR-tech company, told Izvestia on July 26 about how AI tools cause harm instead of benefit when looking for a job.

According to her, recruiters are increasingly faced with perfectly written but lifeless resumes. Neural networks simplify the task: they help to quickly structure the experience, get rid of mistakes, and even find the "right" wording.

"It gives a clear and concise description. But at the same time, important details disappear from the resume — the context, the specifics of the tasks, the specific difficulties that the candidate faced. This is what allows a live recruiter to distinguish a strong candidate from a formal performer," explains Petrova.

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The specialist emphasizes that a resume created with the help of AI is easy to recognize by a number of signs. It is too precise, built according to a template, filled with cliches and common words. In addition, the use of neural networks often leads to inconsistencies between the resume style and other candidate materials such as cover letters or test assignments.

"The style is too smooth, the argumentation is streamlined, the language is unnaturally smooth. This indicates that the person himself is not fully immersed in what he has written," the expert comments.

The problem is compounded when AI confuses cause-and-effect relationships, provides hypothetical data or non-existent data, for example, unsubstantiated figures in the performance description. This is especially critical for applicants who have non—standard career paths behind them, such as moving from one field to another, working in startups, freelancing, or combining multiple roles. In such cases, the neural network will most likely simply simplify and "smooth out" the story: it will remove unstable periods, merge roles, and turn live experience into formal formulaic formulations.

As a result, the main thing is lost — the real context in which a person developed, made decisions, and coped with tasks. For a recruiter, this is the most important layer of information that allows you to understand how a candidate thinks he can do, and how well he fits a particular vacancy.

"It is possible to recognize the involvement of AI by repeating cliches and too general language of presentation. At the same time, a candidate who is confident in his expertise will always be able to explain the details. It is dialogue and deep work that help distinguish a live experience from an artificial one," says Petrova.

Earlier, on March 6, it was reported that the majority of creative specialists surveyed actively use neural networks in their work. At the same time, 43% of respondents resort to them on a regular basis, according to the results of a study by the Moscow Creative Industries Agency and MTS AI.

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