Fostering Diversity in AIs Evolution

Women in data science contribute to a more diversified perspective in the development and application of AI technologies. Their involvement ensures that AI models are built and tested on varied datasets, reducing biases and fostering inclusiveness. This diversity of thought and experience is crucial for developing AI systems that are equitable and represent the needs and nuances of the global population.

Women in data science contribute to a more diversified perspective in the development and application of AI technologies. Their involvement ensures that AI models are built and tested on varied datasets, reducing biases and fostering inclusiveness. This diversity of thought and experience is crucial for developing AI systems that are equitable and represent the needs and nuances of the global population.

Empowered by Artificial Intelligence and the women in tech community.
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Aditi Godbole
Senior Data Scientist at SAP
Sun, 07/21/2024 - 21:11

In my experience, having a diverse team that includes women and people from diverse backgrounds always leads to better outcomes. Their involvement is crucial to ensure various perspectives are included in the decision-making process, it's especially important when we are training AI models that could suffer from bias and unfairness stemming from the data that's being collected.
The presence of a diverse team leads to the development of AI tools and systems that ensure equity and fairness.

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