Natallie Rocha , The New York Times; Welcome to Your Job Interview. Your Interviewer Is A.I.
"Job seekers across the country are starting to encounter faceless voices and avatars backed by A.I. in their interviews. These autonomous interviewers are part of a wave of artificial intelligence known as “agentic A.I.,” where A.I. agents are directed to act on their own to generate real-time conversations and build on responses."
Danielle Abril, The Washington Post; AI is now screening job candidates before humans ever see them
"Increasingly, job candidates are running into virtual recruiters for screenings. The conversational agents, built on large language models, help recruiting firms and hiring companies respond to every applicant, conduct interviews around-the-clock and find the best candidate in increasingly large talent pools. People who have experienced AI interviews have mixed reviews: surprisingly good or cold and confusing...
According to the Society for Human Resource Management (SHRM), a growing number of organizations use AI for recruiting to automate candidate searches and communicate with applicants during the interview process. Job applicants also are increasingly turning to AI to quickly tailor their résumés and cover letters, and to apply instantly. LinkedIn said applications for job openings have jumped 30 percent in the past two years, partially because of AI, with some jobs receiving hundreds of applications within a couple of hours."
"The use of artificial intelligence in HR processes is a new, and likely unstoppable, trend. In recruitment, up to 86% of employers use job interviews mediated by technology, a growing portion of which are automated video interviews (AVIs).
AVIs involve job candidates being interviewed by an artificial intelligence, which requires them to record themselves on an interview platform, answering questions under time pressure. The video is then submitted through the AI developer platform, which processes the data of the candidate — this can be visual (e.g. smiles), verbal (e.g. key words used), and/or vocal (e.g. the tone of voice). In some cases, the platform then passes a report with an interpretation of the job candidate’s performance to the employer.
The technologies used for these videos present issues in reliably capturing a candidate’s characteristics. There is also strong evidence that these technologies can contain bias that can exclude some categories of job-seekers. The Berkeley Haas Center for Equity, Gender, and Leadership reports that 44% of AI systems are embedded with gender bias, with about 26% displaying both gender and race bias. For example, facial recognition algorithms have a 35% higher detection error for recognizing the gender of women of color, compared to men with lighter skin.
But as developers work to remove biases and increase reliability, we still know very little on how AVIs (or other types of interviews involving artificial intelligence) are experienced by different categories of job candidates themselves, and how these experiences affect them, this is where our research focused. Without this knowledge, employers and managers can’t fully understand the impact these technologies are having on their talent pool or on different group of workers (e.g., age, ethnicity, and social background). As a result, organizations are ill-equipped to discern whether the platforms they turn to are truly helping them hire candidates that align with their goals. We seek to explore whether employers are alienating promising candidates — and potentially entire categories of job seekers by default — because of varying experiences of the technology."
