AI-generated job applications are becoming prevalent, with an estimated 25% of applications appearing AI-generated. Recruiters can easily identify these due to generic language, lack of personal details, and overuse of buzzwords. Common issues include robotic tone, formulaic templates, and failure to edit AI-generated text. Recruiters advise using AI tools only as a starting point, emphasising personalisation with specific experiences and targeted information. Quality over quantity is recommended when submitting job applications.
ChatGPT's voice mode offers real-time interview practice with adaptive questions, helping users improve spontaneous responses for job interviews. It simulates realistic scenarios by providing follow-up questions based on user responses. The system can be enhanced with job descriptions and CVs for tailored guidance. However, it lacks non-verbal cues and may struggle with niche topics. It's recommended as a supplement to human mock interviews for comprehensive preparation.
Research on open-source large language models (LLMs) revealed significant racial and gender biases in resume screening. The models strongly favoured white and male candidates, with Black men facing the most discrimination. These biases likely stem from societal privileges reflected in the LLMs' training data.
