From the Center for Shared AI Prosperity:
We’ve tested 79 policy ideas that could address the impact of AI on the economy. Our national survey of 56,000 respondents measured public support on 79 policies that range from AI-specific taxation to the creation of a U.S. sovereign wealth fund, from “data dividends” to wage insurance. Our survey results are available here. We went broad because all popularity is relative, so we need to understand where people are on a diverse battery of economic policies before we can say much about any specific intervention. We will update the rank order (relative popularity) of these policies over time and expand the economic policies we test as the field evolves.
Our surveys include pro and con arguments. Blue Rose Research measures how support changes after respondents read very short arguments for and against the policy. Net support reported in this post, and elsewhere in CSAIP research, reflects net support after argumentation. After reading the arguments, respondents are asked to choose whether they support or oppose the policy without an undecided option. Net support expresses the difference between support and opposition in percentage points. This helps us understand how fixed opinions already are on any given policy idea, and how vulnerable a policy might be to basic opposition. More information about the polling methodology at Blue Rose Research can be found here.
More here.
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