Introduction

Technologies like artificial intelligence are shaped by our societies, norms and cultures in ways that are both obvious and difficult to measure. AI systems reflect those biases which can influence who gets access to finance, services or opportunities, and risk amplifying social inequalities related to gender, ethnicity, income level in ways we may not be able to change in the future. We explain how those biases come to be embedded in algorithms. Finally, we look at how feminist principles and methodologies can intersect with the design, development and deployment of AI to reflect the vision of the future we want to see, and how we measure the impact of those tools in the long run.