Real-world artificial Intelligence can seem overwhelming. It\u2019s a complicated thing and when you try to look into it, it\u2019s filled with intimidating computational jargon. For designers, though, the basics of AI can be made pretty simple. By understanding the basics of data, models, algorithms, and machine learning, you can make sense of almost any AI, separate out what is meaningful for design, and continue with your user-centered practice, mostly as before. (And yes, we\u2019ll cover generative AI.) In this workshop we\u2019ll go over these basics, talk about the interactions germane to narrow AI, and get some hands-on practice in teams.<\/p>\n
Target Audience<\/strong> NOTE: Attendees will not<\/em> learn new and nifty AI tools to use in their practice. (Like, say, Midjourney or chatGPT\/Dall\u00b7E.) If there\u2019s time in the Q&A and interest from the attendees at the end, we can discuss and share some, but this workshop is about designing for systems that include insights and recommendations from AI<\/em>. (There has been confusion about this in the past, so good to emphasize.)<\/p>\n Pre-requisites<\/strong> Take-aways<\/strong><\/p>\n [BREAK]<\/span><\/p>\n
\nThis workshop is meant mostly for mid-level designers already familiar with the basic practice of user-centered design, and who want a practical, actionable understanding of what AI is and does for users.<\/p>\n
\nUsers should have a working knowledge of user-centered design, especially from an interaction design perspective.<\/p>\n\n
Agenda<\/h4>\n
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