Archivo por días: 4 octubre, 2018

Analyzing Factors Intersecting with Sex and Gender It is important to analyze sex and gender (see Analyzing Sex; Analyzing Gender), but examining how other factors intersect with sex and gender is also necessary (Hankivsky et al., 2008). These factors or variables can be biological, socio-cultural, or psychological aspects of users, customers, experimental ... Leer más

Analyzing Factors Intersecting with Sex and Gender

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Analyzing Gender Gender comes into play when cultural attitudes are important to a project (see Term: Gender). This method looks specifically at: 1. Researchers’ and engineers’ gender assumptions and behaviors as these relate to the proposed research. 2. Research Subjects’ and Users’ gender needs, assumptions, and behaviors as these relate to the proposed ... Leer más

Analyzing Gender

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Machine Learning: Analyzing Gender The Challenge Machine learning algorithms can contain significant gender and ethnic bias. Where in the machine learning pipeline does bias reside: The input data? the algorithm itself? the types of deployment? More importantly, how can humans intervene in automated processes to enhance and, at least, not ... Leer más

Machine Learning: Analyzing Gender

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