Summary
Join Savina Hawkins as she presents a focused exploration of large language models in User Experience Research (UXR). This talk zeroes in on practical, actionable strategies for leveraging these advanced AI tools to enhance UXR outcomes. Savina will discuss the dual nature of large language models, illuminating their potential to both revolutionize and challenge UXR practices. Attendees will learn to identify and mitigate risks while maximizing the benefits of these models in real-world scenarios. The session promises a clear, concise roadmap for UX researchers to effectively integrate large language models into their workflow, ensuring positive, impactful results.
Key Insights
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AI tools will fundamentally transform knowledge work, providing unprecedented speed and scale to research processes.
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Prompt engineering is an emerging skill that every researcher will likely adopt by 2025.
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LLMs can synthesize large quantities of data quickly, potentially replacing traditional qualitative analysis methods.
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The craft of prompt design parallels research methodologies, making researchers well-suited for this new skill.
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AI-generated content is based on probabilistic outcomes and lacks the contextual understanding of a human.
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The rapid advancement of AI raises concerns about ‘magic eight ball thinking,’ where users accept AI outputs without critical evaluation.
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Collaboration between technologists and humanists is essential to ensure AI tools align with deeper human values and ethics.
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Innovations in AI present both transformative opportunities and significant risks to established workflows.
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AI has the potential to democratize knowledge work, reducing barriers but also raising concerns about job displacement.
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As AI capabilities evolve towards artificial general intelligence, the challenge will be to maintain a balance between technology and human insight.
Notable Quotes
"Who in here is familiar with the fifth tool, prompt engineering?"
"I bet every researcher in this room will add prompt engineering to their skillset by the end of 2025."
"These tools can help us do things we previously thought were impossible."
"Researchers like us were born to be prompt engineers."
"Large language models are not without their shortcomings."
"AI tools can do qualitative analysis at the click of a button."
"Our work is critical humanistic thinking, not just information processing."
"The labor of information processing will increasingly be delegated to machines."
"We must co-design a new era of knowledge work reflecting our deepest values."
"Only together can we have the power to co-design a future that meets the challenges of our time."
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