AI imaginaries shape technological identity and digital futures
Artificial intelligence (AI) has evolved to become a transformative driver across various societal sectors, influencing our perception of shared digital futures. Central to this transformation are AI imaginaries – collective visions, beliefs, symbols, and expectations that individuals and communities hold about AI and its potential outcomes. AI imaginaries not only reflect societal hopes and concerns, but also actively shape the trajectory of AI development, integration, and governance. Drawing insights from theories of social identity, identity infusion and sociotechnical imaginaries, we propose the AI Imaginary Model as a conceptual framework examining their influence on user technological identity and shared digital futures. By exploring the interplay between AI imaginaries and sociotechnical systems, we highlight the role of these imaginaries in molding public attitudes, driving policy decisions, and fostering innovation. Recognizing the spectrum of AI imaginaries, from utopian to dystopian, we emphasize the need for a critical and balanced discourse to navigate the complex landscape of AI imaginaries. Our analysis should contribute to a deeper understanding of how AI imaginaries may empower or hinder users, shaping their technological identities and broader visions of digital futures. Finally, we call for increased scholarly focus on AI imaginaries to guide responsible technology stewardship and ensure that AI's development aligns with our shared values and collective well-being. • AI Imaginary Model offers a framework studying technological identity and digital futures. • AI imaginaries - collective visions, beliefs about AI - shape perceptions of digital futures. • AI imaginaries affect user attitudes, values, and expectations about AI technology. • Studying AI imaginaries is key to aligning AI with shared values and AI risk control.
Authors
- Lola Xie (ORCID: https://orcid.org/0000-0001-5099-5374)
- Yuner Zhu (ORCID: https://orcid.org/0000-0003-2772-2188)
- Y. P. Lu (ORCID: https://orcid.org/0009-0009-8946-9596)
- Si-Nan Yu (ORCID: https://orcid.org/0009-0006-5287-0974)
- Yunya Song (ORCID: https://orcid.org/0000-0001-5159-1689)
- Jingyuan Shi (ORCID: https://orcid.org/0000-0001-5675-4512)
- Guangchao Charles Feng (ORCID: https://orcid.org/0000-0003-0563-9885)
- Bu Zhong (ORCID: https://orcid.org/0000-0002-3386-9234)
- Yin Qin (ORCID: https://orcid.org/0009-0006-3151-8007)
- Wanhui April Zhou (ORCID: https://orcid.org/0009-0001-5637-2343)
- Zuquan Xiong (ORCID: https://orcid.org/0000-0003-2870-642X)
Institutions
- Hong Kong Baptist University (HK)
- Hong Kong University of Science and Technology (HK)
- University of Hong Kong (HK)
Publication Details
- Journal
- Computers in Human Behavior
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1016/j.chb.2025.108682
- Citations
- 5
- Primary Topic
- Innovation, Sustainability, Human-Machine Systems
- Type
- article
- Field-Weighted Citation Impact
- 21.01