Incorporating Cultural Values Into Responsible Artificial Intelligence (AI) Principles From an Asian Perspective
- DOI
- 10.2991/978-2-38476-154-8_13How to use a DOI?
- Keywords
- Artificial Intelligence; AI ethics; Asian values; Responsible AI
- Abstract
Artificial Intelligence (AI) is transforming our society in various ways. On the one hand, it offers encouraging opportunities for a brighter future for hu- manity. On the other hand, it poses an inherent risk to our existence. With the expeditious advancements in AI technology, it is essential to regulate its devel- opment to ensure responsible innovation and management. Despite the promul- gation of several documents that propose a set of universal principles to address the issue of AI global governance, the authors argue that there is no such thing as a “universal code of AI ethics”. Instead, we urge for a human-centric approach that balances universalism and relativism. This approach recognizes the need to consider regional particularities and values, particularly in Asia, where there are distinctive cultural and ethical norms. The authors suggest that legislators design appropriate guidelines for Responsible AI in Asia that reflect these unique re- gional values.
- Copyright
- © 2023 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 - Nguyen The Duc Tam AU - Nguyen Thai Ngan PY - 2023 DA - 2023/12/05 TI - Incorporating Cultural Values Into Responsible Artificial Intelligence (AI) Principles From an Asian Perspective BT - Proceedings of the 3rd International Conference on Law and Digitalization 2023 (ICLD 2023) PB - Atlantis Press SP - 243 EP - 254 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-154-8_13 DO - 10.2991/978-2-38476-154-8_13 ID - Tam2023 ER -