Generative AI and the Psychological Experience of Employees: Creative Opportunities and Risks of Cognitive Dependence
Meriem Rachid, Sanae El Maliki, Zouheir Boussouf, Mouna ZERHOUNI KHAL
Sidi Mohamed Ben Abdellah University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
This article explains how AGI influences our psychological experiences in the modern workplace and how it can serve as both a (potential) stimulant of creativity and cognitive efficiency and a (potential) vice that can be addictive and impair critical thinking. The purpose of this paper is to examine the integration of AGI into workers’ cognitive and affective processes and its impact on their thought, creation, and decision-making processes. This question highlights how intensive use of these tools (including ChatGPT or Midjourney) can enhance organizational creativity while inducing changes in cognitive dependence, externalizing intellectual work skills, and leading to a loss of reflective independence. This is a qualitative method based on semi-structured interviews, usually involving six participants from different professions (project managers, communication experts, teacher researchers, human resource managers…). By using NVivo, this approach is able to exploratory capture the perception, representation, and coping responses to AGI in everyday life. IAG is seen as a powerful source of inspiration, but it can also be psychologically stressful. It has rekindled thinking about how to inject new blood into creativity and made culture more vibrant. However, it can also breed dangers, such as ideas becoming too similar and the brain losing meaning. To achieve this goal, the deployment of artificial intelligence in practice must be redesigned. Policies are needed to allow reflective training, promote critical thinking and enable people to maintain human skills. Future work from this project will strive further knowledge about the artificial intelligence effects on thinking and consciousness, as well as to produce recommendations for responsible and ethical practices in AI.
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
生物医学Artificial Intelligence in Healthcare and Education
Creativity in Education and Neuroscience · Mind wandering and attention
参考文献 9
此处列出前 3 条