Julia Hanson
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View article: Taking Data Out of Context to Hyper-Personalize Ads
Taking Data Out of Context to Hyper-Personalize Ads Open
Data brokers and advertisers increasingly collect data in one context and use it in another. When users encounter a misuse of their data, do they subsequently disclose less information? We report on human-subjects experiments with 25 in-pe…
View article: An empirical study on the perceived fairness of realistic, imperfect machine learning models
An empirical study on the perceived fairness of realistic, imperfect machine learning models Open
There are many competing definitions of what statistical properties make a machine learning model fair. Unfortunately, research has shown that some key properties are mutually exclusive. Realistic models are thus necessarily imperfect, cho…