Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance

• URL: http://arxiv.org/abs/2408.01458v1
• Date: Fri, 26 Jul 2024 22:10:49 GMT
• Title: Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance
• Authors: Mohammmad Tahaei, Daricia Wilkinson, Alisa Frik, Michael Muller, Ruba Abu-Salma, Lauren Wilcox,
• Abstract summary: We find that public surveys on AI topics are vulnerable to specific Western knowledge, values, and assumptions in their design. We distill provocations and questions for our community to recognize the limitations of surveys for meeting the goals of engagement.
• Score: 21.430179253600308
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Calls for engagement with the public in Artificial Intelligence (AI) research, development, and governance are increasing, leading to the use of surveys to capture people's values, perceptions, and experiences related to AI. In this paper, we critically examine the state of human participant surveys associated with these topics. Through both a reflexive analysis of a survey pilot spanning six countries and a systematic literature review of 44 papers featuring public surveys related to AI, we explore prominent perspectives and methodological nuances associated with surveys to date. We find that public surveys on AI topics are vulnerable to specific Western knowledge, values, and assumptions in their design, including in their positioning of ethical concepts and societal values, lack sufficient critical discourse surrounding deployment strategies, and demonstrate inconsistent forms of transparency in their reporting. Based on our findings, we distill provocations and heuristic questions for our community, to recognize the limitations of surveys for meeting the goals of engagement, and to cultivate shared principles to design, deploy, and interpret surveys cautiously and responsibly.

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