This project is building a database that includes survey questions about AI attitudes, opinions, and policy preferences across polls and surveys run by academic institutions, think tanks, and news organizations. This will assist in understanding how AI attitudes vary over time, across countries, and across subgroups of the population

‍

Executive Summary

‍

Survey questions about AI attitudes, opinions, and policy preferences across polls and surveys run by academic institutions, think tanks, and news organizations.

This will assist in understanding how AI attitudes vary over time, across countries, and across subgroups of the population (e.g., the public, experts, policymakers).

To identify trends, as well as gaps, in our understanding of the AI opinion landscape.

The plan is to use this information to conduct meta-analyses, to validate survey questions/instruments, to develop a public-facing tool (like the Roper iPoll) for accessing survey questions and associated data related to AI, and to develop an annual survey on AI attitudes.

Database of AI-related survey questions from academia, think tanks, and polling firms to study the landscape of evolving public, elite, and expert attitudes on AI

Checking on the current analysis in Artificial Intelligence in order to further goals considering questions in AI.

An ambitious project focused on reducing carbon footprint through innovative recycling methods.

To find out about AI is to fathom AI.

The vision here is to perceive Artificial Intelligence in many ways and understand, in the base level, the survey regarding the field of AI.

AI related perceptions are the target of this project.

‍

Team Members

Faculty: Daniel S. Schiff, Kaylyn Jackson Schiff, Zachary Peskowitz, Dan Goldwasser

Graduate researchers: Indira Patil, Chloe Ahn, Yunzhe Liu, Yu Lu, Srishti Agrawal, Anjali Bhati, Kunal Rustagi, Eylon Caplan

Undergraduate researchers: Anya Popa, Nicholas Berger, Shreya Venkat, Matthew Shinners, Riya Padmonkar, Sophia Roberts, Sarathisamy Velmurugan, Kalyan Archakam

‍

Themes

Public and Elite Attitudes

Methodological Areas

Survey experiments (including conjoint experiments)

Relevant Stakeholders

Academics and Analysts

Substantive Areas

Public and Elite Opinion

Technology and Society

AI Ethics

Research Papers Related to the Project

For Prospective Team Members

This project is ideal for students who want to build expertise in survey design, survey experiments, and public opinion research. Students will contribute to large-scale meta-analysis and develop technical skills in synthesizing cross-national datasets for policy-relevant questions.

‍

AI Survey Hub for Attitudes and Research Exchange (AI SHARE)