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Feminist AI: transforming and challenging the current Artificial Intelligence (AI) Industry
As a discipline and as a practice, data science has traditionally been led by a narrow cohort of people, representing a homogeneous demographic. This lack of diversity has contributed to the (often unconscious) perpetration of biases and stereotypes, which pose significant risks to society. Increasing diversity in data science and Artificial Intelligence (AI) not only mitigates these risks, but also fosters creativity and produces better outcomes.
Feminist AI offers a new perspective on the AI industry by challenging the notion that AI design, development, and deployment should be guided by – and should mainly benefit, a limited group of individuals, predominantly from Western male backgrounds. Sara Colombo, who leads the Feminist Generative AI Lab at TU Delft, advocates for other voices in data science and AI. “Only by making other voices heard can we ensure a more fair and equitable development of data science and AI, and the products and services that are built on them.”