ACI Books & Book Chapters
Title
Deep Blue Wants You: Identifying and Addressing Sources of Bias in AI Systems to Support Human Resources Decisions
Document Type
Other
Files
Download Full Text
Contributing USMA Research Unit(s)
Army Cyber Institute
Description
Due to benefits like increased speed, Artificial Intelligence (AI)/Machine Learning systems are increasingly involved in screening decisions which determine whether or not individuals will be granted important opportunities such as college admission or loan/mortgage approval. To discuss concerns about potential bias in such systems, this chapter focuses on AI to support human resource decisions (e.g., selecting among job applicants). As AI systems do not inherently harbor prejudices, they could increase fairness and reduce bias. We discuss, however, that bias can be introduced via: (i) human influence in the system design, (ii) the training data supplied to the system, and (iii) human involvement in processing system recommendations. For each of the above factors we review and suggest possible solutions to reduce/remove bias. Notably, developing AI systems for screening decisions increased scrutiny for bias and raised awareness about pre-existing bias in human decision patterns which AI systems were trained to emulate.
Publication Date
2022
Keywords
Selection Bias, Hiring, Artificial Intelligence
First Page
162
Recommended Citation
Pyke, Aryn; Schonherr, Jordan Richard; and Thomson, Robert, "Deep Blue Wants You: Identifying and Addressing Sources of Bias in AI Systems to Support Human Resources Decisions" (2022). ACI Books & Book Chapters. 16.
https://digitalcommons.usmalibrary.org/aci_books/16
Record links to items hosted by external providers may require fee for full-text.