生成式人工智能在数字化中的双刃剑:基于可供性与约束的视角

The double‐edged sword of generative artificial intelligence in digitalization: An affordances and constraints perspective

Psychology and Marketing · 2024
被引 44 · 同刊同年前 6%
ABS 3

中文导读

通过9个月的网络志观察,研究了生成式AI在数字化内容生产与消费中的可供性(如自动内容创作、数据分析)及其约束,并提出干预措施,适合学者、从业者和教育者了解其应用动态。

Abstract

Abstract Generative artificial intelligence (AI) has gained prominence across various industries and domains, offering capabilities to generate human‐like text, creative ideas, and solutions. This paper explores customers' responses to the use of generative AI in digitalizing content production and consumption processes. Drawing on technology affordance theory, this article examines how are the affordances of generative AI leveraged to contribute to the gradual digitalization of individuals. This netnographic study is based on over 9 months naturalistic observations of the AI Community online, culminating in 1572 pages of data. The findings identify different types of affordances that foster digitalization: automated content creation, automated data analysis, and AI‐generated content dissemination. This study also identifies the constraints of generative AI and discusses potential interventions to address these constraints and prevent unintended consequences. This research provides insights for scholars, professionals, and educators to better understand the dynamics of leveraging generative AI.

生成式人工智能数字化技术可供性人机交互内容生产