Decisions where there is not enough information for a well-informed decision due to unidentified consequences, options, or undetermined demarcation of the decision problem are called decisions under great uncertainty. This paper argues that public policy decisions on _how_ and _if_ to implement decision-making processes based on machine learning and AI for public use are such decisions. Decisions on public policy on AI are uncertain due to three features specific to the current landscape of AI, namely (i) the vagueness of the (...) definition of AI, (ii) uncertain outcomes of AI implementations and (iii) pacing problems. Given that many potential applications of AI in the public sector concern functions central to the public sphere, decisions on the implementation of such applications are particularly sensitive. Therefore, it is suggested that public policy-makers and decision-makers in the public sector can adopt strategies from the argumentative approach in decision theory to mitigate the established great uncertainty. In particular, the notions of framing and temporal strategies are considered. (shrink)

Systems of urban transportation are largely shaped through planning practices. In transport economics, the benefits of infrastructure investments consist mainly of travel time savings calculated using monetary values of time. The economic interpretation of the value of travel time has significantly shaped our urban environment and transportation schemes. However, there is often an underlying assumption of transferability between time and money, which arguably does not sufficiently take into account the specific features of time. In this paper, we analyze the various (...) properties of time as an economic resource using findings in behavioral economics and psychology. Due to limitations in the standard model, it is proposed that an alternative model value should be investigated in which time rather than money is the primary carrier of and the basic features of such a model are outlined. An improved understanding the nature of time as a source of utility puts us in a better position to determine what aspects of time matter. Additionally, the analysis can be applied to further develop modeling where value of time plays a significant role; such as new models for the planning of urban transport. (shrink)