How AI Can Enhance Survey Research

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A hybrid talk about using AI in survey research, including open-ended response classification, conversational interviewing, operational efficiency, data quality, and associated risks.

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Abstract: Survey organizations face persistent challenges: declining response rates, rising data collection costs, and increasing demands for timely, high-quality insights. As AI reshapes industries across the globe, its integration into survey research offers a powerful opportunity to enhance operational efficiency and data quality, but also introduces potential pitfalls. This talk will describe how researchers at NORC at the University of Chicago, a nationally recognized non-partisan research institution, leverage AI to enhance quantitative social science research while managing its risks. We will focus on two use cases in particular: open-ended response classification and conversational interviewing. Our talk underscores the breadth of AI’s potential across the survey lifecycle and the importance of a structured framework to guide AI integration. This is a *hybrid* event. To attend online, join us on Zoom here at 6pm: https://iit-edu.zoom.us/j/89379230295?pwd=NdETyE5sdYuSrvsrBZXSBFkUESBVkg.1 Meeting ID: 893 7923 0295 Passcode: 5t5WYn Sponsor: Grainger will provide the meeting site, as well as snacks for the onsite participants. * Address: 222 W Merchandise Mart Plaza, 18th Floor, Chicago, IL 60654 * Grainger's Overview: W.W. Grainger, Inc., is a leading broadline distributor with over $17 billion in revenue.

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