Morten Berg Jensen
Papers
3
Total Citations
65
H-Index
3
About
Morten Berg Jensen investigates the intersection of human-robot interaction and organizational justice, with a focus on fairness in hiring processes. His research centers on how teleoperated social robots can serve as “fair proxies” in job interviews, reducing implicit biases and discrimination by eliminating visual cues that typically disadvantage applicants. Jensen’s most-cited work, “Applicant Fairness Perceptions of a Robot-Mediated Job Interview” (2020, 36 citations), pioneers a design using symmetrical visual anonymity—unlike prior studies that anonymized only one party—to prevent bias in interviewer assessments. In “Employers’ and applicants’ fairness perceptions in job interviews” (2022, 26 citations), he extends this work by comparing robot-mediated and face-to-face interviews, identifying four key factors influencing fairness perceptions through a mini-public study. His earlier paper (2019, 3 citations) laid the groundwork for this concept. Jensen’s contributions are notable for advancing ethical AI in recruitment, offering empirical evidence that robot-mediated interviews can enhance procedural justice. His work has implications for reducing hiring discrimination and shaping future workplace technologies, making him a key voice in fair automation research.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3