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Generating AI Use Cases with the Pico and PiCAA Frameworks
This chapter introduces the Pico framework, a method for brainstorming machine learning use cases, and the PiCAA framework, a method for generating AI use cases from a UX perspective. The speakers discuss various examples of AI use cases, such as weather forecasting and recommendation engines, and emphasize the importance of augmenting experiences with AI rather than fully automating solutions. They also highlight the risks associated with automation and the need to factor in human factors and business considerations when working on AI projects.