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Summary
Four of your research colleagues discussed and defended their respective positions (below) on the impact of AI on user research. Participants engaged in a discussion and Q&A, facilitated by Dr. Jamika D. Burge. “AI has the potential to be the researcher's best friend, by doing all the heavy lifting associated with analysis - but it also has the potential to cause unimaginable damage”. – Nick Fine “Researchers absolutely must learn to create AI prompts. Not only will prompt engineering become an essential, required research skill, but it will also offer a much-needed opportunity to rethink our role as facilitators of change.” – Alexandra Jayeun Lee Soon, AI will be able to utilize the participant's feedback as a prompt to create RITE design variations on the fly, offering the researcher multiple flow options organically and in real time, which will radically transform our research practice.” – Greg Nudelman “UX Researchers can reinvent themselves as “delightful ethicists” who oversee ethics on critical issues when generative AI supplies abundant solutions without providing the why." – Bo Wang
Key Insights
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AI offers researchers superpowers in data analysis and design iteration but carries risks if not utilized correctly.
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Experienced researchers must bridge the gap between AI outputs and user needs, ensuring quality and validity.
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Ethical considerations in AI use are paramount to avoid biases and ensure inclusive design.
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The role of UX researchers may evolve to include ethical oversight, advocating for human-centered practices in AI deployment.
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Collaboration among researchers and technologists is essential to navigate the complexities of AI tools in user experience research.
Notable Quotes
"AI has as much capacity to do harm as it does good."
"Inexperienced researchers risk putting invalid AI outputs into corporate knowledge bases."
"Learning prompt engineering will make us better researchers, similar to how coding enhances design skills."
"AI is a tool; we should use it to elevate our practice rather than diminish it."
"Ethics in AI is crucial, but often overlooked in favor of commercial interests."
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