Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing

Roba Alsaigh; Rashid Mehmood; Iyad Katib; Xiaohui Liang; Abdullah Alshanqiti; Juan M Corchado; Simon See

doi:10.3389/fninf.2024.1472653

Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing

Front Neuroinform. 2024 Dec 17:18:1472653. doi: 10.3389/fninf.2024.1472653. eCollection 2024.

Authors

Roba Alsaigh¹, Rashid Mehmood², Iyad Katib¹, Xiaohui Liang³, Abdullah Alshanqiti², Juan M Corchado^{4

5

6}, Simon See⁷

Affiliations

¹ Department of Computer Science, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University, Jeddah, Saudi Arabia.
² Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah, Saudi Arabia.
³ Department of Computer Science, University of Massachusetts, Boston, MA, United States.
⁴ BISITE Research Group, University of Salamanca, Salamanca, Spain.
⁵ Air Institute, IoT Digital Innovation Hub, Salamanca, Spain.
⁶ Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka, Japan.
⁷ NVIDIA AI Technology Center, NVIDIA Corporation, Santa Clara, CA, United States.

No abstract available

Keywords: AI governance; data sharing; data standardization; ethical AI; interoperability; neuroinformatics; privacy; regulatory frameworks.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This article is derived from a research grant funded by the Research, Development, and Innovation Authority (RDIA), Kingdom of Saudi Arabia, with grant number 12615-iu-2023-IU-R-2-1-EI-.