About Decision Labs
What is this?
Decision Labs is an AI public opinion research project that aggregates, structures, and analyzes every major public poll on artificial intelligence in the United States.
Think of it as a RealClearPolitics or FiveThirtyEight for AI public opinion — a single, continuously updated source that cuts through the noise of individual poll releases to show what Americans actually think about AI.
Why this matters
AI policy is being debated at every level of government, but the conversation often relies on anecdote rather than data. Dozens of major pollsters have asked Americans about AI — from Pew Research Center and Gallup to academic institutions and advocacy organizations — but this data is scattered, inconsistent in format, and rarely analyzed with partisan breakdowns.
Decision Labs fills this gap. Every data point is sourced, structured, and contextualized so that policymakers, journalists, and researchers can see the full picture.
About Ben Fowler
Decision Labs is built by Ben Fowler, who brings 15+ years of experience in political and policy research. His career spans roles at Uber (where he ran public opinion research during a period of intense regulatory battles), Morning Consult (covering tech policy and economic perception), and Ipsos (global survey research).
Ben specializes in polling methodology, message testing, and translating complex research into actionable strategy for regulated industries. He currently serves as Head of Political Research at Anthropic.
Our principles
- Analytical, not advocacy. We present data and let readers draw conclusions.
- Methodological rigor. We never draw trend lines through different pollsters or cherry-pick results.
- Source everything. Every number links to its original poll.
- Acknowledge limitations. Question wording effects, methodology differences, and sponsor bias are always noted.
Get in touch
For inquiries about the data, methodology, or potential collaboration, reach out via decisionlabs.ai.