The article discusses the shortcomings of LLMs and other AI technologies within the field of UX Research. It highlights the inherent bias introduced by human contributors who prefer AI responses affirming their beliefs. The author critiques the superficial prominence of many so-called AI experts, urging a critical perspective towards their understanding of the technology. While the author acknowledges the productivity benefits AI brings to tasks like reporting and analysis, it emphasizes the need for AI to serve as a supportive tool rather than a replacement for human insight.
AIs are reliant upon human raters and contributors, which leads to biases as people favor responses that confirm their pre-existing beliefs.
Many self-proclaimed 'AI Experts' are often former 'Blockchain Evangelists,' promoting LLMs without a proper understanding of their complexities.
AI should be viewed as a research assistant in UX research, aiding with tedious tasks rather than replacing human judgment and insight.
While AI offers significant productivity boosts in specific areas, caution must be exercised regarding its limitations and the biases inherent in its design.
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