Abstract

Generative AI has evolved dramatically in recent years. It has reached a level that is dramatically changing the way many work is done. Like Word and Excel, it will likely become a prerequisite business skill for businesspeople. However, many people still struggle to master it, remaining limited to a basic understanding of it, such as "It creates images, right?" or "It writes text, right?" This book is structured as follows: It explains the definition of generative AI, what it can do, and how it can be used in business. Chapter 1: What is AI? → This book provides basic information about generative AI, including its development history, mechanisms, and definition. Chapter 2: What is AI useful for? → This book explains the inner workings of generative AI and technical terms such as "reinforcement learning" and "GAN," and introduces the capabilities and potential of generative AI. Chapter 3: AI and Social Challenges → This book explores the future of AI in society, as well as the challenges and concerns it faces, and their solutions. Chapter 4: Let's try using generative AI at work → We will take a look at real-life business scenarios and provide example prompts to show how generative AI (mainly ChatGPT and Copilot) can be used.

Author’s Information

Kurihara Satoshi was born in 1965. He is an artificial intelligence researcher and professor at the Faculty of Science and Technology, Keio University. He is also the director of the Keio University Center for Research on Symbiotic Intelligence and the head of the Keio University AIC Generative AI Lab. He has held his current position since 2018 after working at NTT Basic Research Laboratories, Osaka University, and the University of Electro-Communications. He also serves as the research director for the "Social Change Foundation" program of the Japan Science and Technology Agency (JST), chairman of the Ethics Committee of the Japanese Society for Artificial Intelligence, an outside director of Omron SINICX, and a member of the Ministry of Internal Affairs and Communications' Information and Communications Law Study Group. His areas of expertise are artificial intelligence and network science. His publications include "AI Can't Do It: The Limits and Possibilities Correctly Communicated by Artificial Intelligence Researchers" (Kadokawa Shinsho).