<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/0f27a12997b54dc6ba48f8433ed79a35&quot; frameborder=&quot;0&quot; width=&quot;1672&quot; height=&quot;1254&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1254</height><width>1672</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1254</thumbnail_height><thumbnail_width>1672</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/0f27a12997b54dc6ba48f8433ed79a35-c04a402000152b56.jpg</thumbnail_url><duration>3416.6</duration><title>Designing for User Trust in AI Experiences</title><description>In this video, I discuss the critical importance of designing for user trust in AI experiences, highlighting that currently, 54% of AI users do not trust the technology. I outline the paradigm shift from traditional user experience design to a collaborative partnership between humans and AI, emphasizing the need for transparency, adaptability, and shared agency. I also address the challenges we face, such as the unpredictability of generative AI and the necessity of designing for graceful failure. I encourage all viewers to rethink their approach to user experience design and consider how we can build trust in AI systems moving forward. Please feel free to reach out with any questions or comments as we navigate this evolving landscape together.</description></oembed>