Artificial Intelligence and Gender: Unveiling Hidden Biases

Dr. Tanushree, Dr. Rohit Kumar

Abstract: Artificial Intelligence is increasingly influencing the behaviours, opinions of human beings. Research shows that there is an over-representation of men in this domain. Machine intelligence learns primarily from observing and using embedded data which is gender biased. Researchers have exposed this bias, since it perpetuates the gender inequality cycle. The problem of gender bias isn?t confined to pre-existing issues contained within historical data. Some male developer teams are liable to inadvertently create ineffective Artificial intelligence on account of their failure to pre-empt how their algorithms which may produce discriminatory outcomes. Women need to be part of the process at every stage. The best way to prevent this type of bias from infecting Artificial intelligence technology is to involve people from under-represented backgrounds at every stage of the development cycle. Having gender-balanced development teams is the first line of defence against biased algorithms and their potentially devastating consequences.

Keywords: Gender, Artificial Intelligence and Technology