CHAPTER 12. “HELLO SIRI, HOW DOES THE PATRIARCHY INFLUENCE YOU?”
— UNDERSTANDING ARTIFICIAL INTELLIGENCE AND GENDER INEQUALITY

This chapter examines the gendered implications of artificial intelligence (AI), especially in low- and middle-income countries in Latin America and the Caribbean, Africa, and Asia. It identifies the ways in which AI shapes gender relationships — and vice versa — by exploring examples of AI applications from various disciplinary fields.

Far from being neutral, AI-based applications are gendered from their creation — by the inherent bias of their creators, or through bias in the data they rely on. For example:

  • The training data used for machine learning may under-represent women and lead to skewed results;

  • Advertising may reward the targeting of men more than women;

  • Ride-sharing algorithms may pay men more than women;

  • AI systems typically replicate the way their designers view language (usually from a male perspective).


AI development is likely to encode patterns of bias and discrimination against women, unless intentionally directed otherwise. The lack of women working in the field contributes to inequality and bias.

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