At the recent SHRM23 gathering, the focus was on the meteoric rise of AI, specifically ChatGPT, and its implications for the hiring landscape. One prevalent concern echoed throughout conversations: the potential for candidates to exploit AI tools to gain an unfair advantage in securing jobs.
As job seekers increasingly rely on AI applications like ChatGPT to refine their resumes, craft cover letters, and prepare for interviews, recruiters and talent acquisition professionals find themselves grappling with the challenge of effectively assessing candidates’ qualifications. Rachel Cupples, a senior recruiter at Textio, proposes a strategy that revolves around employing open-ended questions tailored to specific job roles. This method aims to authentically gauge candidates’ experiences and capabilities, ensuring a more accurate evaluation.
The phenomenon of embellished resumes isn’t novel in the recruitment world. With the advent of AI tools like ChatGPT, candidates now can meticulously align their applications with job descriptions. Joseph Cole, VP of Marketing at Glider, sheds light on AI’s pivotal role in identifying fraudulent practices during assessments. His findings indicate a significant uptick, a 92% increase in fraudulent test-taking, post the COVID-19 pandemic.
Cupples underscores the importance of recruiters understanding the core needs of each role and constructing robust recruitment programs. Erik Schluntz, co-founder and CTO at Cobalt Robotics suggests leveraging ChatGPT as a tool to evaluate candidates’ skills. He advocates for setting job-related challenges that necessitate AI use, thereby evaluating not just AI proficiency but also critical thinking abilities.
In essence, the emphasis remains on aligning the qualifications of candidates with the specific requirements of the job. Cupples highlights the significance of asking targeted questions that delve into the core competencies needed for the role, ensuring a thorough understanding of the candidate’s capabilities in line with the job’s demands. This evolving landscape demands a nuanced approach to assessment, combining AI tools’ potential with traditional evaluation methods for a comprehensive understanding of candidates’ suitability for roles.
