Abstract
This paper identifies two challenges for the data-driven society with a human-centered concept. The first challenge is that we need to regulate individuals' behaviors in order to foster cooperation and avoid social dilemmas. Such a regulation system should be designed to effectively take into consideration various cognitive and motivational biases which may influence the effect of interventions for behavioral regulation. The second challenge involves moral issues caused by the implementation of data utilization technologies. The issues include expansion of inequality, increase in hierarchical ranking of individuals, and the ambiguity of AI's responsibility when problems arise. To face these challenges, we must rigorously clarify the constraints that the data-driven society imposes on each of us and the society as a whole, and continue with the discussions to explore a more desirable future.
