How can AI reduce bias in recruiting? (Interview with Polly, a talent matching platform)
Pinna, Roberta;Cicotto, Gianfranco
2022-01-01
Abstract
Unconscious bias is a massive problem in the workplace, especially in recruitment, promotion, and performance management and is a significant barrier in efforts to improve diversity and inclusion. Moreover, one of the most crucial sources of competitive advantage is based on human resource efforts through attracting and retaining talented individuals. Competitiveness in recruitment has led organizations to spend more time, effort, and resources in developing tools for the efficient selection of employees with the required skills and aptitude to meet current and future organizational needs (Albert E., 2019; Stone et al., 2015). So how can technology, data, and science help? And what steps does it need to take to minimize bias through technologies like artificial intelligence (AI) rather than perpetuate it? That’s the topic for this week’s podcast, where my guest is Polly, a talent matching platform. With Polly, we will try to understand how AI and behavioral science can help companies reduce bias in recruiting and finding the right person for the right place.Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.