Bias and Productivity in Humans and Algorithms: Theory and Evidence from Résumé Screening
By Bo Cowgill. 2018
Citations in the corpus
- Diagnosing Gender Bias in Image Recognition Systems (2020, neutral): “The promise of machine-learning algorithms has been that they would bypass this aspect of human bias, leading to more accurate or equitable results (Cowgill 2018; Gates, Perry, and Zorn 2002; Kleinberg, Ludwig et al. 2018).”