Frontier - From Lab Bench to Battlefield: Engineering AI You Can Actually Trust

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Frontier - From Lab Bench to Battlefield: Engineering AI You Can Actually Trust

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Ryan Cole examines the critical gap between AI capability and trustworthiness in high-stakes environments. Exploring research from Carnegie Mellon's SEI, UC Davis, and Virginia Tech, he discusses uncertainty quantification, explainability frameworks, and adversarial robustness—the unglamorous but essential engineering work determining whether AI systems can be reliably deployed where lives depend on their accuracy and calibrated confidence.

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This content was created in partnership and with the help of Artificial Intelligence AI

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