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WAPOR Webinar: The Legal Aspects of Using AI in Public Opinion Research This webinar will examine how artificial intelligence is reshaping the ways we collect, analyze, and interpret data on public attitudes. As AI tools become increasingly integrated into survey design, sentiment analysis, and large-scale data processing, they also raise questions about privacy, consent, transparency, and accountability, and this session will connect these legal and ethical challenges directly to the practice of public opinion research, offering participants both conceptual guidance and practical considerations for responsible application. The session will provide a structured overview of how AI is already being deployed across different stages of the research workflow: from survey drafting, multilingual localization, and fraud detection to coding open responses and generating visualizations. It will also address the emerging use of synthetic respondents, clarifying both the potential and the limitations of this practice. Participants will gain a clearer sense of not only what AI can do for public opinion research today, but also of the risks it introduces, including bias, hallucinations, confidentiality breaches, and the instability that comes from changing model versions. The discussion will also situate these challenges within the global regulatory environment. With the EU’s AI Act entering into force, Brazil’s LGPD guidance on AI, China’s restrictions on generative models and cross-border transfers, India’s forthcoming DPDP enforcement, and governance frameworks in countries like Singapore and the UK, researchers must operate across a patchwork of compliance requirements. This webinar will also highlight practical measures to align with these standards, from implementing AI management systems and documenting model provenance to ensuring lawful data transfers and maintaining strong privacy and security protocols. Finally, attention will be given to intellectual property and contractual safeguards. Clear rules around ownership of outputs, restrictions on AI training using respondent data, and the inclusion of AI-specific clauses in contracts with clients and vendors are becoming essential to protect the integrity of research. By connecting these legal, ethical, and technical issues directly to the day-to-day work of survey and opinion research, this webinar will equip attendees with tools to navigate an increasingly complex environment responsibly. Our invited speaker for this webinar is Stuart Lloyd Pardau. He is Associate Professor of Professional Practice at the University of Miami Herbert Business School and serves as Outside General Counsel to the American Association for Public Opinion Research (AAPOR) as well as General Counsel to the Insights Association. With a background in law and a focus on data security, privacy, business ethics, and intellectual property, he advises leading organizations in the field of survey and marketing research while also contributing to academic teaching and research on the regulatory and ethical dimensions of public opinion studies.