Shalmali
Patil
Business Intelligence Engineer at Amazon AWS
"Unveiling Bias in AI: The Hidden Challenges of Recommender Systems"
"Unveiling Bias in AI: The Hidden Challenges of Recommender Systems"
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Session: Unveiling Bias in AI: The Hidden Challenges of Recommender Systems
Recommender systems have become integral to our digital experiences, guiding everything from our next favorite TV show to the content that fills our social media feeds. Yet, beneath their convenience lies a pressing challenge: the inherent bias in AI-driven algorithms. In this talk, I’ll dive into the hidden dynamics that allow these biases to persist, the widespread impact they have on society, and the ethical questions they raise. Together, we’ll explore practical ways to identify and address these issues, paving the way for recommender systems designed to be fair, inclusive, and beneficial for everyone.Key Takeaways
- Bias in AI
Bio
Shalmali Patil is an accomplished business intelligence leader with over a decade of expertise in data science, machine learning, advanced analytics, and ethical AI. Currently serving as the BI Engineer at Amazon AWS, she develops innovative machine learning models and data pipelines that drive strategic decision-making. An IEEE Senior Member and an active contributor to international conferences, Shalmali is passionate about addressing bias in AI systems and fostering inclusivity in technology. Through her research, mentorship, and advocacy, she is committed to shaping a future where AI empowers diverse communities and drives equitable innovation.