In the era of data-driven economy, AI technology has been deployed in practice over the world by large-scale digital platformers such as Google and Amazon. Other industries and applied areas will also practically take advantage of the AI in the near futures.
In order to utilize full potential of information and communications technologies (ICTs) including AI for promoting economic growth and addressing various social issues, we need to make human and society to be ready to use the technology, in addition to development of technology itself. Policy intervention is necessary as these goals are hard to accomplish, if solely relying on market competition. Understanding such policies required to support technology will be helpful to predict and take advantage of social dynamics related to new digital products and services that are emerging now and will emerge in the coming future.
This course will provide explanation on relationships between the technologies (AI and data collection and analyses) and society/economy, as well as necessity of policy interventions. The course will also introduce basic knowledges to understand policy backgrounds.
Then we will follow policy case studies in the areas of privacy, safety, open data, competition enhancement, fairness/ethics, promotion of usage, etc., focusing on each policy's necessity, purposes, features and further challenges, with viewpoints of international comparison or international competition.