Year: 2024
Type: article
Abstract: This study analyses the core technologies underlying AI-generated cross-modal content (AIGC), identifying data, algorithms, and computing power as the fundamental pillars supporting AIGC operation. And data are recognized as the underlying logic driving AI's continuous development and the source of ethical issues within AIGC. By integrating Gilbert Hottois' concept of technological accompaniment, this research incorporates multiple stakeholders to dissolve the binary opposition between humans and machines. This study explores pathways to scientifically and positively advance AIGC technologies at the micro, medium, and macro levels. It advocates for human‒machine symbiosis, enhances the frequency and potential of users' digital interactions, improves their understanding and autonomy in applications, and promotes digital literacy in the intelligent era. Additionally, it emphasizes the importance of government-led initiatives and global dialog to establish a multistakeholder regulatory framework and conventions, aiming to create a more harmonious human‒machine community with a shared future.
Authors: Ling Jiang, Yiting Zhang
Institution: University of Shanghai for Science and Technology
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4403122731