With the development of ChatGPT, generative artificial intelligence has become the focus of the times. The advancement of Generative Artificial Intelligence model starts from data acquisition, traceability and training, and the data acquisition’s new characteristics of openness, invisibility and falsity will lead to unpredictable risks. Because of the inadequate AI legislative system, the lack of valid relations in the existing legal mechanism and the incompleteness of the existing legal provisions, it is difficult for the existing mechanism to prevent, control and solve the problems from Generative AI data acquisition. As far as the relevant regulatory measures concerned, the European Union legislation of Generative AI provides useful reference. Only by improving the associated mechanism between AI legislation and existing laws, unifying and coordinating the classification and grading protection mechanism for data, playing the role of the data protection institution, coordinating the cross-border flow of data, and strengthening international regulatory cooperation can a full-process regulatory system for data acquisition be established, thus achieving a balance between the safety control of Generative AI and innovative development.

Huang Xinru. Generative Artificial Intelligence: Risks of Data Acquisition, Regulatory Deficiencies and Suggestions for Countermeasures—From the Inspiration of European Union Legislation. International Journal of Frontiers in Sociology (2024), Vol. 6, Issue 6: 61-70. https://doi.org/10.25236/IJFS.2024.060611.

[1] Sun Qi, Research on the Legal Issues of Regulating the Providers of Generative Artificial Intelligence Products[J]. Politics and Law, 2023, Vol. 7: 162-176.

[2] OpenAI, Introducing ChatGPT. https://www.openai.com/blog/chatgpt. Accessed 22 Apr. 2023.

[3] Bi Wenxuan, The Risk Regulation Dilemma of Generative Artificial Intelligence and Its Resolution: Taking the Regulation of ChatGPT as a Perspective[J]. Comparative Law Studies, 2023, Vol. 3: 155-172.

[4] Chen Yuefeng, Beyond Data Boundary Rights: The Dual Public Law Construction of Data Processing[J]. Journal of East China University of Political Science and Law, 2022, Vol. 1: pp. 18-31.

[5] Xie Yongjiang and Yang Yongxing, ChatGPT Legal Risks and Their Regulation[J]. Journal of Nanjing University of Posts and Telecommunications (Social Science Edition), 2023, Vol. 5: pp. 1-9.

[6] Liu Shuang and Zhang Xiaoyue,"Research on the Legal Protection and Regulation of Generative Artificial Intelligence Data Risks - Taking ChatGPT’s Potential Data Risks as an Example[J]. Journal of Guizhou University (Social Science Edition), 2023, Vol. 5: 87-97.

[7] Zhu Jiajun, Challenges and Responses to the Regulation of False and Harmful Information of Generative Artificial Intelligence - Cited by the Application of ChatGPT[J]. Comparative Law Studies, 2023, Vol. 5: 34-54.

[8] Liu Yanhong, Three Major Security Risks and Legal Regulations of Generative Artificial Intelligence - Taking ChatGPT as an Example[J]. Oriental Jurisprudence, 2023, Vol. 4: 29-43.

[9] Guo Xiaodong, The Risks of Generative Artificial Intelligence and Its Inclusive Legal Governance[J]. Journal of Beijing Institute of Technology, 2023, Vol. 6: 93-105.

[10] Guo Jiannan, A Study on the Policy, Ethical Guidelines and Regulatory Path of Artificial Intelligence in the European Union[J]. Internet World, 2023, Vol. 1: 26-32.

[11] Chen Bing, Rule of Law Considerations and Practical Framework for Promoting the Normative Development of Generative Artificial Intelligence--An Appraisal of the Relevant Provisions of the Interim Measures for the Administration of Generative Artificial Intelligence Services[J]. China Applied Law, 2023, Vol. 4: 108-125.

[12] Zhai Zhiyong, Data Security Law[J]. Journal of Suzhou University (Philosophy and Social Science Edition), 2021, Vol. 1: 73-83.

[13] Xu Jimin, Generative Artificial Intelligence Governance Principles and Legal Strategies[J]. Theory and Reform, 2023, Vol. 5: 72-83.

[14] Xin Zhang, Algorithmic Governance Challenges of Generative Artificial Intelligence and Governance-Based Regulation[J]. Modern Law, 2023, Vol. 3: 108-123.

[15] Zhang Linghan, Logic Update and System Iteration of Deep Synthesis Governance - The Chinese Path of Generative Artificial Intelligence Governance such as ChatGPT[J]. Legal Science, 2023, Vol. 3: 38-51.

[16] Xia Han, The Market Regulation Shift in EU Legislation Regulating Cross-Border Data Flows and Implications for China[J]. Hebei Law, 2023, Vol. 8: 169-182.

[17] Rongrong Zhu, The Challenge of ChatGPT-like Generative Artificial Intelligence on Personal Information Protection and Response[J]. Journal of Chongqing University (Social Science Edition), 21 September 2023, pp. 1-14.

[18] Dazhi Wang and Ting Zhang, Risks, Dilemmas and Countermeasures: Personal Information Security Challenges and Legal Regulation Brought about by Generative Artificial Intelligence[J]. Journal of Kunming University of Science and Technology (Social Science Edition), 2023, Vol. 5: 8-17.

[19] Cheng Le, Legal Regulation of Generative Artificial Intelligence - Taking ChatGPT as a Perspective[J]. Political Law Series, 2023, Vol. 4: 69-80.

[20] Cheng Xiao, On the Obligation of Data Security Protection[J]. Comparative Law Studies, 2023, Vol. 2: 60-73.

[21] Haiyan Peng and Zhen He, Research on the Realistic Dilemma and Response Strategy of Government Data Security Governance in the Context of Artificial Intelligence[J]. Yunnan Social Science, 2022, Vol 3: 29-37.

[22] Chen Bing and Dong Siyan, Algorithmic Risks of Generative Artificial Intelligence and the Basis of Governance[J]. Learning and Practice, 2023, Vol. 10: 22-31.

[23] Gong Yunmu, The Return of the Concept of Sovereignty and EU Digital Governance in the Digital Age[J]. European Studies, 2022, Vol. 3: 18-48.

[24] Xu Jimin, Generative Artificial Intelligence Governance Principles and Legal Strategies[J]. Theory and Reform, 2023, Vol.5: 72-83.