| 演者 | Charles Yokoyama Fujita Health University Professor and Head of US office |
|---|---|
| 会場 | 対面式（講堂） |
| 日時 | 2026年3月2日（金曜日）14：00～16：00 |
| 世話人 | 堀内純二郎、原 孝彦 基盤技術支援センター 学術支援室、研究開発技術室 |
| 参加方法 | 詳細は事前に下記問合せ先までご連絡ください |
| お問い合わせ |
研究推進課 普及広報係 電話 03-5316-3109 |
As AI evolves, most human activities involving computing will change. Projections of AI's impact from present to future timelines will be useful to prepare for these changes at both the individual and societal levels. In this lecture, we will explore the potential impact of AI on three domains related to scientific research. First, how will the process of writing, peer review, and publishing of research papers change? Second, how will science itself evolve, where papers have historically played a key role, from research planning, execution and reproducibility on the front end, to curation of the scientific literature and natural science modeling and engineering on the back end? Third, how will the large-scale processing and management of scientific data and knowledge affect epistemology and ontology, or the theories of reality that govern humanity? We will consider how AI could affect paper writing, science, and reality along a spectrum from free-market and open community principles to corporate and government control of information. The lecture will hopefully inspire thought, discussion and action by the next generation of scientists.
