Timeline of Gender Bias in AI
The Women in Data Science and AI project sits within the Public Policy programme at The Alan Turing Institute, the UK’s National Institute for Data Science and Artificial Intelligence. We work alongside policy makers and industry stakeholders, offering actionable insights and recommendations to tackle the multifaceted ethical, economic and governance-related issues stemming from gender inequalities in AI.
Only 26% of data science and AI professionals are women. In this animation video, we highlight how the lack of diversity results in harmful feedback loops of bias being built into machine learning systems. Using AI as a hiring tool in the tech sector as an example, we draw out a ‘timeline’ of gender bias in AI showing how inequalities in the world are reproduced and amplified at various stages during the tool’s construction.
The Women in Data Science and AI project sits within the Public Policy programme at The Alan Turing Institute, the UK’s National Institute for Data Science and Artificial Intelligence. We work alongside policy makers and industry stakeholders, offering actionable insights and recommendations to tackle the multifaceted ethical, economic and governance-related issues stemming from gender inequalities in AI.
Only 26% of data science and AI professionals are women. In this animation video, we highlight how the lack of diversity results in harmful feedback loops of bias being built into machine learning systems. Using AI as a hiring tool in the tech sector as an example, we draw out a ‘timeline’ of gender bias in AI showing how inequalities in the world are reproduced and amplified at various stages during the tool’s construction.
