From Data to Decisions: MITRE’s Approach to Responsible AI with Christopher Teixeira

Dive into the complexities of building reliable AI models in high-stakes environments, where data integrity can mean the difference between success and unintended consequences. In this thoughtful conversation, discover:

• How MITRE leverages high-quality data to support agencies like the CDC and CMS, driving impactful public health outcomes.
• Real-world lessons from Chris’s career, including how strategic data selection can optimize AI performance without sacrificing accuracy.
• The importance of diverse teams and continuous model evaluation to ensure ethical, effective AI applications.
• Strategies for balancing AI’s potential with human oversight to address challenges in child welfare and beyond.

Ideal for data scientists, policymakers, and tech enthusiasts eager to understand how AI and data can shape a better future when guided by rigor and responsibility.