Exploring Perceptions of Algorithmic Bias in Video Interviewing Software: The Importance of AI Hiring Education
Many employers across various fields are incorporating artificial intelligence into their hiring processes. Existing research suggests that although artificial intelligence is often perceived as neutral by its advocates, it can inadvertently perpetuate both implicit and explicit biases present in the engineers and designers responsible for its development through the machine learning process. To delve deeper into this issue, we conducted a research study involving 25 recent graduates from 12 different industries. Our aim was to gain insights into the workings of AI video interviewing software and to understand the reactions of recent graduates who have used this technology. Considering the pivotal role of computing and technology education in shaping future careers, we believe that our investigation can assist educators in better preparing their students for a workforce that increasingly relies on artificial intelligence, while also being mindful of its potential biases, particularly in the context of hiring.
Fister, Theresa; Thiruvathukal, George K. (2024). Exploring Perceptions of Algorithmic Bias in Video Interviewing Software: The Importance of AI Hiring Education. figshare. Journal contribution. https://doi.org/10.6084/m9.figshare.25200524.
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