In this session we’ll explore how to design AI-powered experiences that remain resilient when things go wrong.
Drawing from real-world experiences, we’ll discuss the importance of preparing for AI failures, maintaining user trust through transparency and empathy, and providing practical strategies for creating effective fallback solutions. You’ll leave with actionable insights to ensure AI systems recover gracefully and continue to empower users even when the technology falls short.
In this session, you will:
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