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So, how do you differentiate between a resume penned by a human and one by a machine? For one, look for subtleties. Algorithms often miss the nuances that come with human experience.
They may cram in job-specific jargon but miss the mark on the emotional intelligence that can only be conveyed through human words.
To increase your chances of identifying AI resumes and weeding them from the recruitment process, here are some things to note:
AI-crafted resumes frequently resort to monotonous and repetitive expressions. These documents are shaped by expansive data algorithms that inherently include recurring language structures, specific phrases and keywords. For instance, you may encounter the phrase, “I am a highly motivated and results-oriented individual,” echoed multiple times in an AI-powered resume.
An AI-generated resume often uses generic language and all the “right words” that could apply to anyone in a particular field. Phrases such as “Possessing strong analytical and problem-solving skills” may surface, but without the substantive examples one would expect from a human applicant.
“AI-generated resumes often sound like generic job descriptions, lacking personal voice and authentic experience. They would contain very general action words without tangible or relevant information,” adds Imeiniar Chandra, Regional Director at Michael Page Indonesia.
AI-generated resumes often lack the personal touch that a human writer would bring to the document. For example, an AI-generated resume might not mention the specific job that the applicant is applying for or the skills and experience that are relevant to the position.
Related: Why an effective onboarding process is more important than you think
AI resumes may occasionally betray themselves through awkward sentence constructions. Rooted in machine learning algorithms, these documents are trained on text datasets that may not strictly adhere to conventional grammatical norms.
Here are some examples:
A multi-faceted review and selection process involving several team members can offer invaluable insights into a resume’s authenticity. For enhanced scrutiny, consider including individuals who have honed their resume evaluation skills before the ChatGPT era.
In the battle against AI-powered resumes, consider using machine learning countermeasures. Screening tools like Sapling AI Detector and Copyleaks are not merely surface-level scanners; they delve deep into the text, identifying language patterns, flagging unnatural sentence structures, and even sniffing out plagiarised content.
If you are a seasoned hiring manager or recruiter, you already possess a treasure trove of insights from hiring processes in the era before machine-generated resumes flooded the job market.
Your firsthand experience can serve as your best sensor. When the language of a resume appears too polished or utilises almost perfect phrases, it could very well be the handiwork of AI algorithms.
As AI continues to transform the hiring process, expect to see more AI-developed resumes flooding your inbox. In this AI-dominated world, the resume game has clearly changed. It’s time to adapt or get left behind.
AI is here to stay; if you can’t beat them, join them. But first, learn to identify them. Consider this your cheat sheet in the era of the AI-driven resume revolution. Welcome to the future; it’s written in algorithms.
Start a hiring conversation with Michael Page to find out how you, too, can reap the many benefits of a leading global recruitment agency.
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