AIGC-Assisted Design: Ethics and Perception
- DOI
- 10.2991/978-94-6463-724-3_26How to use a DOI?
- Keywords
- AIGC-Assisted Design; Public Perception; Copyright Protection; Ethical Standards; Creative Quality
- Abstract
This study aims to explore the ethical considerations and public perception surrounding the application of Artificial Intelligence Generated Content (AIGC) in design, while promoting the sustainable development and integration of technology with the humanities. An online questionnaire using the QuestionPro platform was administered to design professionals, focusing on key issues such as the originality of AIGC design, copyright protection, and factors influencing public acceptance. Data analysis was conducted using NVivo software. The results indicate that a majority of respondents believe that the originality of AI-generated outputs is manifested in various aspects. Furthermore, current copyright protections are deemed insufficient, and public acceptance is influenced by the quality of design. The study recommends that designers should harmonize their own creative inspiration with AI, establish a robust legal framework, enhance design quality, transparency, and environmental sustainability, and balance the relationship between technology and ethics to foster the healthy development of AIGC design.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Nengli Liu PY - 2025 DA - 2025/05/26 TI - AIGC-Assisted Design: Ethics and Perception BT - Proceedings of the 2025 5th International Conference on Informatization Economic Development and Management (IEDM 2025) PB - Atlantis Press SP - 264 EP - 278 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-724-3_26 DO - 10.2991/978-94-6463-724-3_26 ID - Liu2025 ER -