In recent years, the capabilities of artificial intelligence have improved rapidly, and application scenarios have also become rapidly popular, gradually penetrating into people's work and life. Whether it's automatic translation on smartphones, autonomous driving in cars, and other features that meet consumer demands and expectations, the application scenarios of artificial intelligence are becoming more and more extensive.

Generative AI applications like ChatGPT, GitHub Copilot, Stable Diffusion, and others have quickly captured the attention and imagination of people around the world, thanks to their wide range of utility – almost anyone can use them to communicate and create – as well as more natural human-machine conversations. Even, the latest generative AI applications can perform a range of routine tasks in an employee's job, such as the classification of data, the generation of business reports, and even automated test code generation. A wide range of stakeholders are grappling with the impact of generative AI on business and society, and more people need to understand and participate, so as to form a consensus on the scope of AI capabilities, how to use it, application scenarios, and constraints, and truly "AI for Human being".