Artificial knowing: gender and the thinking machine

By John P. Sullins. 1999

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. K. Chaloner
2. Alfredo Maldonado

Citations in the corpus

• Consumers and Artificial Intelligence: An Experiential Perspective (2020, unknown): “…Maria in Metropolis to Apple’s Siri, patriarchal norms and preferences embedded in seemingly benign AI experiences have the potential to engage only certain types of users, such as white men, while alienating others, such as women and racial minorities (Adam 1998; Hayles 1999; Haraway 1985).”
• Measuring Gender Bias in Word Embeddings across Domains and Discovering New Gender Bias Word Categories (2019, background): “inscribed in implicit ways in AI systems more broadly (Adam, 2006), this paper focuses on gender bias on word embeddings.”