应届生面试，连真人面试官都见不到？

Core Viewpoint - The increasing use of AI interviewers in the recruitment process is transforming the job application landscape, leading to mixed feelings among job seekers regarding the effectiveness and transparency of AI evaluations [2][10][22]. Group 1: Job Seekers' Experiences - Many job seekers, like Xu Qing, have faced multiple AI interviews, often feeling that the experience lacks engagement and fails to showcase their strengths effectively [1][2][26]. - Job seekers express frustration over the opaque evaluation criteria used by AI interviewers, leading to uncertainty about how to succeed in these interviews [8][9][22]. - Some candidates find AI interviews easier, believing that straightforward answers and logical responses can lead to success, while others struggle to adapt to the format [9][10][22]. Group 2: Employers' Perspectives - Companies are increasingly adopting AI interview tools to manage the high volume of applications during recruitment seasons, aiming to enhance efficiency and accuracy in candidate selection [10][13][14]. - HR professionals report that AI interviewers can streamline the initial screening process, allowing for a more efficient evaluation of candidates' basic competencies [11][12][15]. - Employers believe that AI can maintain high standards in candidate selection, as it is less influenced by subjective factors compared to human interviewers [15][29]. Group 3: AI Interview Technology - The technology behind AI interviewers relies on large language models and a comprehensive question bank developed from expert knowledge and industry experience [18][20][21]. - AI interviewers are designed to assess various competencies, including communication skills and logical reasoning, through a structured questioning process [14][15][20]. - Despite the advancements, there are concerns about the reliability and accuracy of AI evaluations, as some candidates report inconsistencies and errors in the AI's questioning and scoring [22][23].