Core Viewpoint - The widespread application of artificial intelligence (AI) is expected to lead to significant job displacement, necessitating re-employment training for affected individuals [1][2]. Group 1: Employment and Training - AI's replacement of human labor is a defining characteristic of the digital age, resulting in inevitable large-scale unemployment [2]. - The nature of vocational training in a digital society differs fundamentally from that in traditional economies, as rapid technological changes make it difficult to identify current skill demands [2]. - Despite challenges, the digital society offers abundant educational resources, allowing individuals to learn new skills through accessible online platforms [2][3]. Group 2: Government Policies - Governments can promote lifelong learning by collaborating with educational institutions to provide free educational resources and offering "learning funds" to unemployed individuals for online courses [3]. Group 3: Role of AI in Learning - While AI tools like ChatGPT can provide knowledge, they cannot replace the need for skilled teachers who impart practical skills and values, especially during formative years [4]. - The ability to ask meaningful questions is crucial for knowledge acquisition, highlighting the importance of a foundational understanding before engaging with AI [4]. Group 4: Digital Rights and Governance - The development of digital technologies has led to new rights for individuals, such as internet freedom and data ownership, with the concept of "disconnection rights" emerging as a means to protect personal autonomy [5]. - The advancement of AI presents both solutions and challenges, necessitating ongoing governance and collaborative efforts from various sectors to ensure ethical development [5][6]. Group 5: Societal Implications - The integration of AI into social interactions may alleviate loneliness but risks diminishing human emotional growth and expression [6]. - The digital divide has evolved into a political challenge, creating new "algorithmic classes" and emphasizing the need for interdisciplinary research to address these issues [6].