Notes on W(5) H(1) for Three New Research Articles, and Compare & Contrast Research (p. 16a)

2

Artificial Intelligence Drawbacks

Student’s name

Professor’s name

Course title

Institution

Date

Artificial Intelligence Drawbacks

Research question: What are the implications of utilizing artificial intelligence in assessing and hiring employees?

Title of research article: Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development.

Methodology: The article applies systematic review in collecting and analyzing data.

“This systematic literature review aims at offering a coherent, transparent, and reliable picture of existing knowledge and providing insights into fruitful research avenues about the discrimination potential and fairness when using algorithmic decision-making in HR recruitment and HR development. This is in line with other systematic literature reviews that organize, evaluate, and synthesize knowledge in a particular field and provide an overall picture of knowledge and suggestions for future research (Petticrew and Roberts  2008; Crossan and Apaydin  2010; Siddaway et al.  2019). To this end, we followed the systematic literature review approach described by Siddaway et al. ( 2019) and Gough et al. ( 2017) to ensure a methodical, transparent, and replicable approach.”

Findings: “Performance evaluations carried out by an algorithm are less likely to be perceived as fair and trustworthy, and at the same time, they evoke more negative feelings than human decisions.”

Reference

Köchling, A., & Wehner, M. C. (2020). Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development.  Business Research,  13(3), 795-848. https://doi.org/10.1007/s40685-020-00134-w