In recent years, the popularity of generative AI, including ChatGPT, has had a huge impact on machine learning and the fields that use it. The field most affected is undoubtedly natural language processing, but the ripple effect is spreading to other fields that deal with data. For example, in robot control research, generative AI is used to generate commands for robots. Generative AI is also becoming a presence that cannot be ignored in the fields of finance and economics. In particular, in recent years, there has been an increase in economic analysis research targeting text, and language models such as BERT have begun to be used in these studies. Given this, it is only a matter of time before generative AI is used as the next trend.
CIFEr is an international conference that has long focused on the application of information technology to finance and economics. Given this technological trend, we expect a large number of research papers on the application of these new technologies to finance to be presented at CIFEr. In addition, there are an increasing number of cases where alternative data, data that have not been used before, are applied to financial economics, and new technologies are required to process these data.
We expect the papers presented at the conference to include research on the use of data that has yet to be used before, as well as research on the application of new computer intelligence technologies, including generative AI, to the fields of finance and economics. In addition, there is a growing body of research that combines generative AI with long-standing technologies, such as multi-agent combinations, and we look forward to this type of challenging research.