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

作者：Roba Alsaigh, Rashid Mehmood, Iyad Katib, Xiaohui Liang, Abdullah Alshanqiti, Juan M. Corchado, Simon See · 发表于：Frontiers in Neuroinformatics · 年份：2024 · DOI：10.3389/fninf.2024.1472653 · 被引用次数：15 · 研究领域：Artificial Intelligence in Healthcare and Education、Neuroethics, Human Enhancement, Biomedical Innovations、Blockchain Technology Applications and Security

In the rapidly evolving field of neuroinformatics, the intersection of artificial intelligence (AI) and neuroscience presents both unprecedented opportunities and formidable ethical challenges (Ienca and Ignatiadis 2020;Dubois et al. 2023;Parellada et al. 2023;Scheinost et al. 2023). As AI technologies increasingly underpin neuroscientific research, it is crucial to establish robust governance frameworks that not only match the ambitious scope of this research but also adhere to stringent requirements for privacy and data sharing (Eke et al. 2022;Jwa and Martinez-Martin 2024;Yuste 2023;UK Government 2018). This paper explores the urgent need to harmonize AI governance regulations with neuroinformatics practices, with a specific focus on the domains of data sharing and privacy.This opinion paper is grounded in a comprehensive analysis of over 4000 research articles and AI regulation documents, supplemented by referencing over 100 pivotal articles and documents. It offers a critical examination of current AI governance frameworks and the existing challenges at the intersection of AI and neuroinformaticsfoot_0 . Through this analysis, we systematically explore the stateof-the-art in neuroinformatics (Section 2), its challenges (Section 3), and the evaluation of AI governance (Section 4), identifying key alignments and gaps (Section 5). We conclude with strategic recommendations for better integration of these fields, aimed at enhancing research outcomes while ensuring privacy an...