There is no single foolproof method to weed out AI-generated job applicants, but you can better identify them by looking for specific red flags and adjusting your hiring process. The goal is to move beyond basic resume and cover letter screening to a more thorough evaluation of a candidate's skills and personal fit.
Red Flags in Written Applications
AI-generated applications often exhibit a few common signs. Look for these to get a better sense of whether the content is authentic.
- Generic, polished language: AI tools are trained on vast amounts of data, so they often produce text that is grammatically flawless but lacks a unique human voice. The writing might be overly formal or filled with business buzzwords like "synergy," "value-add," and "cross-functional collaboration" without providing specific context.
- Lack of specific details: AI can't invent personal experiences. A resume or cover letter may list impressive-sounding accomplishments but fail to provide quantifiable results or specific examples. For instance, a candidate might say they "increased customer satisfaction" but can't provide a percentage or describe the specific project.
- Inconsistencies: The writing style may be uniform and monotonous across different sections, or it might contain subtle inconsistencies in tone or language that suggest a lack of personal investment.
Using AI Detection Tools
While not 100% accurate, AI detection tools can serve as a first-pass filter. These tools analyze text patterns to estimate the likelihood that a document was written by an AI. They work by measuring metrics like "burstiness" (the variation in sentence length) and "perplexity" (the predictability of the text). Some popular options include:
- GPTZero
- Winston AI
- Copyleaks
Remember that AI detectors can produce false positives, flagging human-written text as AI-generated. You can use these tools as a guide, not a definitive verdict.
Rethinking Your Hiring Process
The most effective way to identify a genuine candidate is to shift your focus from a resume to a skills-based hiring model.
-
Customized questions: Include a few unique questions in your hiring process that require a personal, thoughtful response. A question like, "Tell us about a time you failed and what you learned from it," is difficult for a generic AI to answer convincingly.
-
Practical assessments: Give candidates a practical task or a work sample test that measures their actual skills. For instance, this could be a design project, or a writing assignment relevant to the job. Check out a recent HR Minute on this topic:
Working Interviews.
-
In-depth interviews: During the interview, ask for specific examples of projects mentioned on their resume. An individual who used AI to generate their application may struggle to provide detailed, on-the-spot explanations. Asking behavioral questions and probing for specifics about their process can also help reveal a candidate's true abilities.