<ul><li>Generative AI introduces a new way for humans to interact with systems by focusing on intent-based outcome specification.</li><li>The article discusses 21 GenAI UX patterns including evaluating if GenAI improves UX, converting user needs to data needs, and defining the level of automation.</li><li>It emphasizes the importance of understanding user intent and aligning user control preferences with technology in GenAI applications.</li><li>Other patterns include providing data sources for transparency, conveying model confidence, and designing for memory and recall in AI systems.</li><li>The article also addresses error states in AI models, the importance of capturing user feedback for continuous improvement, and designing AI guardrails to minimize harm and biases.</li><li>Furthermore, communicating data privacy and controls is highlighted as essential in GenAI applications.</li><li>Overall, these GenAI UX patterns aim to create a shared language for product teams to develop human-centered, trustworthy, and safe AI products.</li></ul>

20+ GenAI UX patterns, examples and implementation tactics

Discover more