AI's Gender Bias Problem: Breaking the Code of Inequality

AI Business
Jul 7, 2025 14:44
Natália Magalhães
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Summary

The article highlights the importance of incorporating diverse perspectives and inclusive data to address gender bias in AI systems. It emphasizes that without these efforts, AI technologies risk perpetuating harmful stereotypes, underscoring the need for intentional design choices to promote fairness and equality in the field.

Diverse voices and inclusive data are key to building AI systems that challenge stereotypes rather than reinforce them