AI for Survey Construction: Innovations, Challenges, and Future Directions |
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| Coordinator 1 | Mrs Sandra Jaworeck (Technical University of Chemnitz) |
| Coordinator 2 | Mr Carsten Schwemmer (Ludwig-Maximilians-University Munic) |
As technological advancements continue to revolutionize survey research, the emergence of AI tools like ChatGPT presents transformative opportunities for constructing and enhancing surveys. This session explores the integration of AI in survey research, particularly in developing, refining, and optimizing survey instruments. With AI's capabilities in natural language processing and machine learning, there is significant potential to automate and improve the survey design process, from question formulation to adaptive questionnaire pathways.
AI-powered tools offer innovative approaches to creating survey content that is contextually relevant and tailored to diverse populations. They can assist in generating high-quality, unbiased questions, providing translations, and predicting potential biases or ambiguities in wording, thus enhancing the validity and reliability of survey instruments. Additionally, AI can optimize surveys for mobile devices and different platforms, increasing accessibility and participation rates while ensuring data quality.
However, the integration of AI in survey construction is not without its challenges. Ethical considerations around data privacy, consent, and potential biases introduced by AI algorithms need to be carefully managed. Furthermore, the lack of transparency in AI-driven decision-making processes raises concerns about interpretability and trustworthiness. This session aims to delve into these critical issues, fostering a dialogue on how to balance innovation with methodological rigor and ethical responsibility.
This session will provide a comprehensive overview of the promises and pitfalls of using AI for survey construction. We invite contributions that showcase empirical research, theoretical developments, and practical applications of AI in survey design, as well as critical perspectives on the ethical, technical, and conceptual challenges involved. Together, we aim to explore the future directions of AI in survey research, promoting a robust and nuanced understanding of how these technologies can be leveraged to meet the evolving needs of the survey community.