Shaping the Future of AI-Enabled Surveys

Abstract:

AI-enabled surveys use state-of-the-art artificial intelligence (AI) systems to support, augment, or partially automate stages of the survey lifecycle—including questionnaire design, data collection, annotation, and analysis. AI-enabled surveys could help alleviate response burdens and measurement issues, while also raising profound methodological and ethical challenges.
This interdisciplinary workshop is designed to map, advance, and critically assess the emerging domain of AI-enabled surveys. It brings together researchers from the social sciences, survey methodology, natural language processing, and human–AI interaction to articulate a coordinated research agenda. The workshop is structured around three central scholarly questions: (1) What are the most effective novel survey modes enabled by AI? (2) How can evaluation standards be reconciled for AI-enabled surveys? (3) How do AI-enabled surveys change the study of society?
By convening an interdisciplinary community around these guiding questions, the workshop aims to delineate the design space of AI-enabled surveys, identify responsible and effective development pathways, and promote consensus on methodological, technical, and ethical best practices. Special focus lies on the definition of core evaluation standards, and on the development of a forward-looking roadmap for future research and implementation in this rapidly evolving field.