Foreign artificial intelligence data security regulation and enlightenment to China

doi:10.12267/j.issn.2096-5931.2024.08.010

Abstract

Abstract:

With the extensive application and continuous development of artificial intelligence technology, the data security risks caused by it are increasing. By summarizing security risks such as data leakage, excessive data collection, lack of transparency of model algorithms and data vulnerability in the application of artificial intelligence, this paper reviews and analyzes the practical experience of the United States, the United Kingdom, the European Union and Singapore in data security regulation activities. Comprehensive and diversified development paths such as strengthening top-level design, strengthening practical guidance and accelerating technological innovation are proposed to further improve the ability of artificial intelligence data security protection.

Key words: artificial intelligence, data security, regulation, practical experience, development path

CLC Number:

TP309.2

GUAN Weidong. Foreign artificial intelligence data security regulation and enlightenment to China[J]. Information and Communications Technology and Policy, 2024, 50(8): 68-72.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2024.08.010

http://ictp.caict.ac.cn/EN/Y2024/V50/I8/68

References 12

[1]	SHAHRIAR S, ALLANA S, HAZRATIFARD S M, et al. A survey of privacy risks and mitigation strategies in the artificial intelligence life cycle[J]. IEEE Access, 2023, 11: 61829-61854.
[2]	Information Commissioner’s Office. What is automated individual decision-making and profiling?[EB/OL]. (2022-10-17)[2024-04-20]. https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/individual-rights/automated-decision-making-and-profiling/what-is-automated-individual-decision-making-and-profiling/.
[3]	中国信息通信研究院. 人工智能数据安全白皮书(2019年)[R/OL]. (2019-08-09)[2024-04-25]. http://www.caict.ac.cn/kxyj/qwfb/bps/201908/P020190809481299621393.pdf.
[4]	The White House. Executive order on the safe, secure, and trustworthy development and use of artificial intelligence[EB/OL]. (2023-10-30)[2024-04-25]. https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/.
[5]	POIREAULT K. NSA launches guidance for secure AI deployment[EB/OL]. (2024-04-22)[2024-04-26]. https://www.infosecurity-magazine.com/news/nsa-launches-guidance-secure-ai.
[6]	KING J, MEINHARDT C. Rethinking privacy in the AI era: policy provocations for a data-centric world[R/OL]. (2024-02-22)[2024-04-25]. https://hai.stanford.edu/white-paper-rethinking-privacy-ai-era-policy-provocations-data-centric-world.
[7]	Department for Science, Innovation and Technology, Office for Artificial Intelligence. AI regulation: a pro-innovation approach[EB/OL]. (2023-03-29)[2024-04-25]. https://www.gov.uk/government/publications/ai-regulation-a-pro-innovation-approach.
[8]	Department for Science, Innovation and Technology, Department for Work and Pensions. Data protection and digital information bill: supporting documents[EB/OL]. (2022-07-18)[2024-04-25]. https://www.gov.uk/government/publications/data-protection-and-digital-information-bill-impact-assessments.
[9]	European Parliament. Corrigendum[R/OL]. (2024-04-19)[2024-04-25]. https://www.europarl.europa.eu/doceo/document/TA-9-2024-0138-FNL-COR01_EN.pdf.
[10]	DANGANAN A. MAS sets guidelines for responsible AI and data analytics use[EB/OL]. (2018-11-13)[2024-04-25]. https://sbr.com.sg/information-technology/more-news/mas-sets-guidelines-responsible-ai-and-data-analytics-use.
[11]	mart Nation and Digital Government Office. National Artificial Intelligence Strategy 2.0 to uplift Singapore’s social and economic potential[EB/OL]. (2023-12-04)[2024-04-25]. https://www.smartnation.gov.sg/media-hub/press-releases/04122023/.
[12]	Personal Data Protection Commission. Advisory guidelines on use of personal data in AI recommendation and decision systems[R/OL]. (2024-03-01)[2024-04-26].https://www.pdpc.gov.sg/-/media/files/pdpc/pdf-files/advisory-guidelines/advisory-guidelines-on-the-use-of-personal-data-in-ai-recommendation-and-decision-systems.pdf.

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[2]	CHEN Tian, LIU Minghui, WANG Lulu. Data security architecture of computing power network [J]. Information and Communications Technology and Policy, 2024, 50(8): 62-67.
[3]	QIU Shiyun, LIN Zihan. Exploration of the construction of data outbound transfer security mechanism for intelligent connected vehicle industry [J]. Information and Communications Technology and Policy, 2024, 50(8): 73-79.
[4]	SHUO Tianluan, DONG Yimin. Research on the innovation trend of database in the era of artificial intelligence [J]. Information and Communications Technology and Policy, 2024, 50(6): 17-22.
[5]	XU Ming. Research on ethical challenges and rational regulation of brain-computer interface technology [J]. Information and Communications Technology and Policy, 2024, 50(5): 54-59.
[6]	ZHANG Dong, BAI Yu, ZHANG Tengfei. Industrial PON time-determined network and intelligent control integration system [J]. Information and Communications Technology and Policy, 2024, 50(5): 87-91.
[7]	WU Linna, SONG Kai, WANG Songhe. The challenges and response strategies of generative artificial intelligence for personal information security [J]. Information and Communications Technology and Policy, 2024, 50(1): 13-18.
[8]	WU Shenkuo, KE Xiaowei. Normative imperative and institutional implications of the EU Data Act from perspective of personal information protection [J]. Information and Communications Technology and Policy, 2024, 50(1): 2-6.
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[11]	HU Guohua, WANG Zhendong, LI Qiang. Research on challenges and countermeasures of data security in new smart cities [J]. Information and Communications Technology and Policy, 2023, 49(8): 31-37.
[12]	GUO Zhen, YAO Shuwei, HU Yiqi, SHEN Qi. Thinking on path of digital transformation in the smart city consulting field [J]. Information and Communications Technology and Policy, 2023, 49(8): 73-79.
[13]	HUANG Huang, ZHANG Qian. Research on development of compute-in-memory technology and industry [J]. Information and Communications Technology and Policy, 2023, 49(6): 30-39.
[14]	HAN Aoxue, XUE Zhen, LI Jing, LIU Huiqin, GUO Chen. Research and analysis on the current situation of global access certification of telecommunication terminal products [J]. Information and Communications Technology and Policy, 2023, 49(6): 55-60.
[15]	ZHOU Yijing, CUI Zhuo, HUANG Cuiting, LIN Wenzhen, CHEN Tao. An innovative system of data element circulation based on knowledge federation [J]. Information and Communications Technology and Policy, 2023, 49(6): 61-70.