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Summary
Rapid advances in Artificial Intelligence and machine learning are transforming the world in many ways. For the product designer or design strategy practitioner this megatrend manifests itself in 2 orthogonal dimensions: AI as a product design material – AI enables solutions that are smarter, faster and can answer questions well beyond human capability alone, but you must deploy them effectively and responsibly to be successful. AI designing the product for you – AI generation of competent oil paintings and music based solely on a set of input requirements has been repeatedly demonstrated in the past decade. Emerging AIs can design entire digital user experiences, code them, and deploy to the cloud with one button click. While AI automation can provide huge benefits in both megatrend dimensions it carries spectacular risk when deployed within life and death systems such as autonomous vehicles and medical products. Concurrently, generative AI for product design carries significant liability risk plus the potential of employment disruption for creative and strategic job careers.
Key Insights
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AI as a material can enhance UX design by automating elements of the process.
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Trust and accuracy are paramount in medical AI applications, influencing user acceptance.
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Generative AI tools can reduce workload for designers but might lead to sameness in outputs.
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Understanding different types of AI—hard and soft—helps in applying them effectively in UX contexts.
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The balance between human agency and AI's capabilities is crucial when designing automated systems.
Notable Quotes
"If you wish to come first with me, you have to Define your terms."
"The AI is looking through material, and that material is changing every day."
"Trust accuracy, that's really the answer."
"This system does need to persuade you and that perceived trust is critical."
"You will find pretty much all the way gag, best practices in the generated code."
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