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Explore how to develop and deploy responsible AI agents for credit decisioning using Databricks' Data Intelligence Platform in this 41-minute conference talk. Learn to implement bias and fairness monitoring through Lakehouse Monitoring to track demographic metrics and set up automated alerts for fairness thresholds. Discover how to enhance transparency and explainability using the Mosaic AI Agent Framework, SHAP values, and LIME for comprehensive feature importance auditing. Master regulatory alignment techniques through Unity Catalog for maintaining data lineage and AIBI dashboards for effective compliance monitoring. Understand how to ensure LLM reliability and security by implementing AI guardrails and utilizing synthetic datasets to validate model outputs while preventing discriminatory patterns. Gain insights into integrating real-time subject matter expert and user feedback through Databricks Apps and AI/BI Genie Space to maintain responsible AI practices throughout the development lifecycle.
