Learn a flexible framework to identify where current AI capabilities can best serve your team’s needs, and what tasks still require a human behind the wheel.
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Research synthesis is one of the most popular AI UX use cases, but is AI really up to the task? Learn how to answer this question for yourself, and practice running an analysis.
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Learn methods for user testing AI products and features, enabling you to contribute throughout the AI product development process.
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Learn about AI data privacy risks, and how to get started with safer alternatives, such as commercial API keys and locally run AI models.
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Learn how to conduct a new kind of usability test–one for AI agents, rather than human users.
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Learn what’s new and notable in AI, and work through its applications (and implications) for product research workflows.
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