Session
Building Trust with AI: Mastering the Balance Between Personalization and Privacy in Recommendation
In this session, discover how to design and deploy ethical AI recommendation systems that delight users while respecting their privacy. We’ll explore real-world strategies for mitigating algorithmic bias, protecting sensitive data, and complying with emerging regulations—without sacrificing the personalization that drives engagement. Attendees will learn scalable, actionable techniques that set the foundation for building user trust, fostering innovation, and staying ahead in today’s AI-driven marketplace.

Shashank Kapadia
Machine Learning Engineering | Building Scalable AI Solutions | NLP & Personalization | Ethical AI Advocate | Mentor | Writer
Sunnyvale, California, United States
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