Astha
Puri
Senior Data Scientist at CVS Health
"Breaking Bias: How NLP and LLMs Can Help or Hinder Gender Equality"
"Breaking Bias: How NLP and LLMs Can Help or Hinder Gender Equality"
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Session: Breaking Bias: How NLP and LLMs Can Help or Hinder Gender Equality
In today’s fast-changing digital era, Natural Language Processing (NLP) and Large Language Models (LLMs) play a pivotal role across industries, shaping everything from search engines and social media to customer service and hiring practices. Yet, these powerful technologies also come with significant challenges.This session examines how advanced AI systems both reinforce and challenge gender bias. It explores how biases are embedded within language models, their real-world impact on marginalized communities, and the innovative ways NLP can be harnessed to advance equity. The discussion will also address the ethical responsibilities of developers and organizations in recognizing and reducing bias to ensure AI serves everyone fairly.
By the end of the session, participants will gain a deeper understanding of AI’s transformative potential, along with practical strategies to prevent the reinforcement of harmful stereotypes.
Key Takeaways
- understanding of how bias enters and grows in our systems today
- actionable ways to remove bias from downstream applications
Bio
Astha is a Senior Data Scientist at CVS Health, where she leads the design of recommendation engines for digital platforms, helping customers discover the right products and enabling patients to access the appropriate health services and support. She specializes in home screen personalization, leveraging data-driven insights to enhance user experiences. With a strong background in the tech industry, she is now applying her expertise to transform and innovate within the healthcare sector.