2026 AI Regulation Opinion Survey Template

An AI regulation opinion survey is a structured questionnaire designed to measure stakeholder perspectives on regulatory frameworks, governance models, and policy priorities affecting artificial intelligence deployment. It gathers quantifiable feedback on compliance preferences, enforcement concerns, and industry-specific regulatory impacts across diverse respondent groups.

Use this survey when regulatory bodies are developing new AI governance frameworks, industry groups preparing formal policy comments, research institutions tracking longitudinal sentiment shifts, or compliance teams identifying which regulatory concerns matter most to key stakeholders before a legislative window closes.

Most effective AI regulation surveys use 3-5 scaled opinion questions paired with 2-3 ranking or open-response items to balance quantitative measurement with qualitative insight. This approach captures overall sentiment while uncovering specific regulatory priorities that simple yes-no questions miss.

Segment responses by industry, respondent role (policy, compliance, technical), and geography to identify structural preferences that vary by context. Cross-tabulate governance model rankings against enforcement concern responses to surface patterns like whether regulated industries favor self-regulation or third-party oversight.

Target high-regulation sectors first: finance, healthcare, transportation, and employment. Then extend to content platforms, security, and manufacturing to capture diverse governance preferences. Sector stratification in your sampling design ensures findings reflect actual compliance burden variation across industries.