"Finding the Magic Sauce": Exploring Perspectives of Recruiters and Job Seekers on Recruitment Bias and Automated Tools
Not on the map. Why?
Abstract (arXiv)
Automated recruitment tools are proliferating. While having the promise of improving efficiency, various risks, including bias, challenges the potential of these tools. An in-depth understanding of the perceived risk factors and needs from the perspective of both recruiters and job seekers is needed. We address this through an interview study in the high-tech industry to compare and contrast the concerns of these two roles. We found that the importance of clarifying position requirements and assessing candidates as "whole individuals" are commonly discussed by both recruiters and job seekers. In contrast, while recruiters tended to be more aware of cognitive bias and desired more tool support during interviews, job seekers voiced more desire towards a healthy candidate-company relationship. Additionally, both roles considered the uncertainty of the current technology capability and reduced human contact as concerns for using automated tools. Based on these results, we provided design implications for automated recruitment tools and related decision-support technologies.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Jan 2023.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 1; 2025: 0; 2026: 2.
3 papers.
- 2024Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPTcited by 5
- 2026Beyond the Resum'e: A Rubric-Aware Automatic Interview System for Information Elicitationcited by 0
- 2026How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applicationscited by 0
- 2026How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications24 Apr 2026
- 2026Beyond the Resum'e: A Rubric-Aware Automatic Interview System for Information Elicitation2 Mar 2026
- 2024Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPT16 Jan 2024