Alter Everything 193: Women, Data Science, and Building Inclusive AI
14 snips
Sep 10, 2025 
Christina Stathopoulos, founder of Dare to Data and a former strategist at Google and Waze, discusses the pressing issues of data bias and AI technology’s impact on women and minorities. She highlights the crucial need for diversity in tech teams to foster fairer algorithms. Christina shares her personal journey battling imposter syndrome and emphasizes the role of education and allyship in creating inclusive environments. The conversation stresses the significance of representation in data science and the steps needed to empower underrepresented individuals in this field.
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Homogeneous Teams Bake In Bias
- Homogeneous teams embed shared unconscious biases into AI systems during development.
- Diverse teams catch bias earlier and reduce harmful outcomes for marginalized groups.
Use Books To Spot The Gender Data Gap
- Read Invisible Women to understand the gender data gap across sectors like healthcare and transport.
- Use the book's examples to spot where men have been treated as the default in data and design.
Podcast AI Voice Editor Favored Men
- Megan described an AI audio editor that performed better on male voices than female voices.
- The team suspected the training data favored male voices, causing poorer female performance.
