• Anushree Kumar

Artificial intelligence systems increasingly shape decisions in critical areas such as hiring, healthcare, and law enforcement. However, these systems are often perpetuated and encoded with certain biases that reinforce discriminatory practices in the digital society. It manifests in several forms, including facial recognition systems leading to wrongful arrests of black women; recruitment algorithms favoring male candidates; and voice assistants perpetuating gender stereotypes through submissive, female-coded responses, alongside biases in online ad targeting.

From Data to Discrimination: Addressing Gender Inequality in AI Systems

"From Data to Discrimination: Addressing Gender Inequality in AI Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.194-208, March-2025, Available :http://www.jetir.org/papers/JETIRGT06016.pdf

"From Data to Discrimination: Addressing Gender Inequality in AI Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. pp194-208, March-2025, Available at : http://www.jetir.org/papers/JETIRGT06016.pdf