A systematic review of socio-technical gender bias in AI algorithms
P Hall, D Ellis - Online Information Review, 2023 - emerald.com
Purpose Gender bias in artificial intelligence (AI) should be solved as a priority before AI
algorithms become ubiquitous, perpetuating and accentuating the bias. While the problem …
algorithms become ubiquitous, perpetuating and accentuating the bias. While the problem …
Algorithmic fairness and economics
We develop an economic perspective on algorithmic fairness and the surrounding empirical,
theoretical and policy issues. Our perspective draws from clear parallels between algorithms …
theoretical and policy issues. Our perspective draws from clear parallels between algorithms …
Where AB Testing Goes Wrong: What Online Experiments Cannot (and Can) Tell You About How Customers Respond to Advertising
M Braun, EM Schwartz - SMU Cox School of Business Research …, 2023 - papers.ssrn.com
Marketers use online advertising platforms to compare user responses to different ad
content. However, platforms' experimentation tools deliver ads to distinct, optimized …
content. However, platforms' experimentation tools deliver ads to distinct, optimized …
[引用][C] The A/B Test Deception: Divergent Delivery, Ad Response Heterogeneity, and Erroneous Inferences in Online Advertising Field Experiments
M Braun, EM Schwartz - SMU Cox School of Business Research Paper,(21-10), 2021