2 citations · 3 across the 4 of their papers we have counts for
4 papers
Informing AI Policy Assessment using Large-Scale Simulation of Interventions
Julia Barnett, Kimon Kieslich, Natali Helberger +1
As the rapid proliferation of AI systems and harms spurs efforts in AI governance around the world, prioritizing among competing policy options has become increasingly challenging…
Scenarios in Computing Research: A Systematic Review of the Use of Scenario Methods for Exploring the Future of Computing Technologies in Society
Julia Barnett, Kimon Kieslich, Jasmine Sinchai +1
Scenario building is an established method to anticipate the future of emerging technologies. Its primary goal is to use narratives to map future trajectories of technology develop…
Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Making
Julia Barnett, Kimon Kieslich, Natali Helberger +1
The potential for negative impacts of AI has rapidly become more pervasive around the world, and this has intensified a need for responsible AI governance. While many regulatory bo…
Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation
Julia Barnett, Kimon Kieslich, Nicholas Diakopoulos
The rapid advancement of AI technologies yields numerous future impacts on individuals and society. Policymakers are tasked to react quickly and establish policies that mitigate th…