Who Has a Say in Local Goverment AI Governance? A Stakeholder Network Analysis on AI-related Public Documents
An image of stakeholder network at the City of Seattle, produced by Jack Bernard.(In Progress)
This work is in development with URP PhD Meixin Yuan and UT undergrad Jack Bernard.
Abstract
As local governments start to embrace AI technology in application and governance, a big unknown lies at who has a say in the process and how different actors interact in shaping the application and governance landscape, especially when it comes to the sub-domain of AI applications. Using public documents released by the local governments as traces for technology governance and adoption, we first classified the public documents based on whether they are AI-relevant, defined as whether they mention AI regulation, governance, or application. Then we used large language model to help extract stakeholders from the document and form networks for analysis.
Keywords: AI governance; stakeholders; network
