<ul data-eligibleForWebStory="false"><li>Traditional software is deterministic and repeatable, inspiring confidence through testing and certification.</li><li>Modern AI, like large language models, operates based on probabilities from vast datasets, leading to varying outputs for similar inputs.</li><li>Trustworthy AI requires a shift in engineering mindset towards focusing on behavior over exact results, incorporating monitoring and human oversight.</li><li>While AI differs from traditional software engineering, embracing its adaptability and evolving trust, testing, and responsibility approaches can unlock unprecedented capabilities.</li></ul>

AI Doesn’t Repeat Itself — So How Do We Trust It?

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