Inclusive Search and Recommendations

Explore the critical aspects of inclusive AI in personalized discovery systems through this 39-minute conference talk by Nadia Fawaz, former Tech Lead for Inclusive AI engineering at Pinterest. Delve into the importance of personalization, fairness, and privacy in AI for search and recommendation systems. Learn about reducing bias, modeling biases, experimentation bias, and implementing inclusive AI in production environments. Gain insights from Fawaz's experience as a Senior Staff Software Engineer and Applied Research Scientist in AI, leading technical efforts on algorithmic fairness, diversity in search and recommendations, and inclusive Machine Learning system design. Understand the challenges and solutions in creating more equitable and effective personalized discovery systems in this comprehensive overview of inclusive search and recommendations in AI.

- Introductions
- Visualizing Pinterest
- Search and Recommendation Systems
- Inclusive AI
- Outline
- Reducing Bias
- Modeling Biases
- Experimentation Bias
- Inclusive AI in Production
- Conclusion