Abstract

Are narratives as influential in gaining the attention of policymakers as expert information, including for complex, technical policy domains such as artificial intelligence (AI) policy? This pre-registered study uses a field experiment to evaluate legislator responsiveness to policy entrepreneur outreach. In partnership with a leading AI think tank, we send more than 7300 U.S. state legislative offices emails about AI policy containing an influence strategy (providing a narrative, expert information, or the organization's background), along with a prominent issue frame about AI (emphasizing technological competition or ethical implications). To assess engagement, we measure link clicks to further resources and webinar registration and attendance. Although AI policy is a highly technical domain, we find that narratives are just as effective as expert information in engaging legislators. Compared to control, expert information and narratives led to 28 and 34 percent increases in policymaker engagement, respectively. Furthermore, higher legislature professionalism and lower state-level prior AI experience are associated with greater engagement with both narratives and expert information. Finally, we find that policymakers are equally engaged by an ethical framing of AI policy as they are with an economic one. The findings advance efforts to bridge scholarship on policy narratives, policy entrepreneurship, and agenda-setting.

Comments

This is the published version of Schiff, Daniel S. and Schiff, Kaylyn Jackson. 2023. “ Narratives and Expert Information in Agenda-setting: Experimental Evidence on State Legislator Engagement With Artificial Intelligence Policy.” Policy Studies Journal 51(4): 817–842. https://doi.org/10.1111/psj.12511

Date of this Version

7-19-2023

Published in:

Schiff, Daniel S. and Schiff, Kaylyn Jackson. 2023. “ Narratives and Expert Information in Agenda-setting: Experimental Evidence on State Legislator Engagement With Artificial Intelligence Policy.” Policy Studies Journal 51(4): 817–842. https://doi.org/10.1111/psj.12511

Download

Share

COinS