Abstract:

AI awareness refers to an employee's perception that the use of AI affects their work attitude, behavior, well-being, and work environment. The fourth Industrial Revolution has arrived, and while AI improves employee performance, it also brings risks and uncertainties that have a huge impact on employees. Although many studies have explored the impact of AI awareness on employees' psychological and behavioral outcomes, due to scholars' academic background, current studies are more focused on the field of relative segmentation. At the same time, because the concept of AI awareness is relatively new, its name is not unified, and the ambiguity of the concept limits the public's in-depth insight into AI awareness. In addition, the action path and boundary conditions of AI awareness on employees' psychological and behavioral outcomes have not yet been clarified, and the lack of AI awareness research framework has hindered the understanding of how AI application affects employees' psychological and behavioral outcomes. In order to explore the specific impact of AI application on employees and its function explanation mechanism, firstly, the research on AI awareness was systematically reviewed, the concept connotation of AI awareness was clarified, and AI awareness was re-defined as employees' perception of the impact of AI application on their work attitude, behavior, well-being and working environment. This definition highlights the two-sided nature of AI awareness, that is, AI awareness has both positive and negative effects on employees, rather than just negative effects. Second, it reveals the effects of AI awareness, advancing the understanding of how AI awareness affects employee psychology and behavior. The positive and negative effects of AI awareness on employees' psychological state are explained from the three aspects of emotion, stress and cognition, and the positive and negative effects of AI awareness on employees' behaviors are explained from the two aspects of active and negative behaviors, so that organizations and academia can more clearly, comprehensively and systematically recognize the important effects of AI application on employees' psychological and behavioral outcomes. Promote research in related fields. Thirdly, the theoretical explanation mechanism of AI awareness is explained based on resource perspective (conservation of resources theory, JD-R model), pressure perspective (cognitive evaluation theory), psychological needs perspective (self-determination theory), and environment perspective (person-environment fit theory). Finally, the paper elaborates on five aspects: exploring the multi-level driving mechanism of AI awareness, enriching the action mechanism of AI awareness, mining the spillover effect of AI awareness and strengthening the interaction impact between AI and employees, and builds an integrated model diagram for future research on AI awareness, which will help promote local relevant research. By answering the above questions, it is expected to provide theoretical reference for the subsequent research of scholars, enhance the academic community's cognition and understanding of how the application of AI affects employees, and provide new ideas for promoting the development of AI research. At the same time, it is revealed that managers in the era of Industry 4.0 should re-examine themselves, understand, learn and trust AI technology, use AI technology to develop new skills to improve their management ability, help organizations adopt AI technology more effectively, prevent risks and promote the healthy development of organizations. Managers must clarify the use of AI technology, allow employees to participate in the process of developing and implementing AI systems, eliminate misunderstandings and mistrust, and conduct AI technology training for employees, so that employees have more understanding of AI, reduce the sense of rejection of AI, and recognize that coexistence with AI is an inevitable development of the times. At the same time, it also informs employees that the purpose of applying AI is to help rather than replace them, relieve employees' anxiety and sense of threat, reduce their fear of unemployment, enhance employees' positive cognition of the application of AI, and then reduce their negative evaluation of the application of AI, and help organizations maximize the positive side of AI and reduce the dark side brought by AI.

Key words: AI awareness, conservation of resources theory, job insecurity, double-edged sword effect