The Impact of AI-driven Recruitment on Diversity and Inclusion in Organization

Sammanfattning

This thesis focuses on how AI-based recruitment affects diversity and inclusion in organizations. As more companies use artificial intelligence to help in hiring processes, concerns have grown about the potential for bias and unfair treatment of candidates. The study looks at how AI recruitment tools assess candidates and whether they might reinforce existing biases related to age, gender or background. A mixed-methods approach was used, including a literature review, interviews with HR professionals, and experimental testing of three publicly available AI recruitment tools. The findings reveal that while AI tools can improve efficiency and consistency, some tools still show signs of bias. The interviews confirmed these concerns and highlighted the need for transparency and human involvement. The thesis ends with suggestions for reducing bias in AI recruitment and brings up the importance of building ethical and inclusive systems.