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Summary
What are AI-mediated experiences made of? What new interactions and UI patterns should be part of your toolkit? How do these new patterns support trust, critical thinking, usability, and accessibility? Watch Josh Clark and Veronika Kindred, authors of our forthcoming book Sentient Design, explore emerging best practices for the design of machine-intelligent experiences. The session focuses on the practical: new interaction patterns, functional patterns, and UI patterns for AI-powered interfaces. Meet the Pinocchio pattern, see how trait tags work, learn to nudge, become a master of inpainting, and so much more. Learn how these solutions are tailored to suit the curious qualities of machine intelligence. You’ll see how they build healthy mental models for users, creating realistic expectations for system capabilities. Plus, learn to use these new patterns to guide behaviors in ways that amplify user judgment and agency, instead of replacing them.
Key Insights
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AI is intended to make experiences easier but often introduces unforeseen problems.
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The nuances of using AI, such as how to prompt effectively, remain a learning curve for users.
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Generative AI often provides answers that are probabilistic rather than deterministic, which can lead to reliance on inaccurate information.
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There is a need for UI patterns that help guide users in their interactions with AI, such as nudges and trait tags.
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The illusion of one true answer often leads to misinformation; therefore, it is crucial to present AI outputs with transparency regarding confidence levels.
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Managing cognitive load is essential; systems like version vaults allow users to track and select from multiple outputs.
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Interactive design should give users agency while also providing thoughtful suggestions and context.
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New technologies often come with risks distinct from their benefits; designers must acknowledge and mitigate these risks.
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User trust in AI must be balanced with critical thinking about automated suggestions and outputs.
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Emerging design patterns can enhance user experiences with AI by prioritizing both usability and ethical considerations.
Notable Quotes
"We usually get as much wrong as we get right."
"AI is supposed to make things easier, yet it comes with unexpected problems."
"The illusion of a singular, correct answer is a major risk with AI systems."
"New experiences often bring new problems along with them."
"It's essential to provide users agency while incorporating AI suggestions."
"Trust in AI must be complemented with a healthy skepticism."
"We need to shape the future of AI technology thoughtfully."
"The challenges presented by AI are significant but not insurmountable."
"User education is critical in navigating new AI technologies."
"It's crucial to celebrate the possibilities of AI while remaining vigilant about its risks."
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