Being essentially composed of data and code, artificial intelligence (AI) systems are fairly fluid, i.e. their constituents and design can be spatially distributed. As a result, unforeseen combinations of jurisdictions and rules can apply to the input data and the corresponding AI system, as well as the predictive outcomes that can be applied at a distance. This in turn affects the very governability of transnational AI systems that flow into our societies from abroad. This panel will interrogate how the liquidity of AI systems will affect the different societies they interacts with. What will be the implications of the emerging cross-national interdependency through AI systems for their accountability and governance? Identifying strategies and approaches that effectively ground individual interests and societal values in transnational algorithmic systems will be imperative to undergird a robust information civilization.