[1] 郭全中, 张金熠. AI+人文: AIGC的发展与趋势[J]. 新闻爱好者, 2023(3): 8-14. (GUO Q Z, ZHANG J Y. AI+ humanities: development and trends of AIGC[J]. Journalism lover, 2023(3): 8-14.)
[2] GOODFELLOW I, POUGET-ABADIE J, MIRZA M, et al. Generative adversarial nets[J]. Advances in neural information processing systems, 2014, 27: 2672-2680.
[3] GANIN Y, KULKARNI T, BABUSCHKIN I, et al. Synthesizing programs for images using reinforced adversarial learning[C]//International Conference on Machine Learning. Stockholm Sweden: PMLR, 2018: 1666-1675.
[4] REZENDE D, MOHAMED S. Variational inference with normalizing flows[C]// Proceedings of the 32nd International conference on machine learning. Lille, France: PMLR, 2015: 1530-1538.
[5] HO J, JAIN A, ABBEEL P. Denoising diffusion probabilistic models[J]. Advances in neural information processing systems, 2020, 33: 6840-6851.
[6] PAN Z, YU W, YI X, et al. Recent progress on generative adversarial networks (GANs): a survey[J]. IEEE access, 2019, 7: 36322-36333.
[7] 李白杨, 白云, 詹希旎, 等. 人工智能生成内容(AIGC)的技术特征与形态演进[J]. 图书情报知识, 2023, 40(1): 66-74. (LI B Y, BAI Y, ZHAN X N, et al. The technical features and aromorphosis of artificial intelligence generated content (AIGC)[J]. Documentation, information & knowledge, 2023, 40(1): 66-74.)
[8] 翟尤, 李娟. AIGC发展路径思考: 大模型工具化普及迎来新机遇[J]. 互联网天地, 2022(11): 22-27. (ZHAN Y, LI J. AIGC development path thinking: new opportunities for popularization of large-scale model tools[J]. China Internet, 2022(11): 22-27.)
[9] LEWIS D, MOORKENS J. A rights-based approach to trustworthy AI in social media[J]. Social media+ society, 2020, 6(3): 1-13.
[10] 中国信息通信研究院, 京东探索研究院. 人工智能生成内容(AIGC)白皮书[R/OL]. [2024-06-16]. http: //www.caict.ac.cn/sytj/202209/P020220913580752910299.pdf. (China Academy of Information and Communications Technology, JD Exploration Research Institute. White paper on artificial intelligence generated content (AIGC) [R/OL]. [2024-06-16]. http://www.caict.ac.cn/sytj/202209/P020220913580752910299.pdf.)
[11] ERRIDGE P. The Pareto principle[J]. British dental journal, 2006, 201(7): 419-419.
[12] 杨平, 田野. 长尾数据共享研究进展[J]. 图书情报工作, 2014, 58(8): 133-138. (YANG P, TIAN Y. Research process of long tail data sharing[J]. Library and information service, 2014, 58(8): 133-138.)
[13] BALAS M, ING E B. Conversational AI models for ophthalmic diagnosis: comparison of ChatGPT and the Isabel pro differential diagnosis generator[J]. JFO open ophthalmology, 2023, 1: 100005.
[14] DEDICATORIA M, KLAUS S, CASE R, et al. AI detection of M. Tuberculosis pathogens using generative adversarial network (GAN) analyses[J]. European journal of public health, 2020, 30(supplement 5): ckaa165. 320.
[15] 郝国强, 李星莹, 杨琴. 通用人工智能(AGI)的技术、应用及安全问题: 以ChatGPT为例[J]. 传承, 2023(1): 100-110. (HAO G Q, LI X Y, YANG Q. Technologies, applications, and security issues of artificial general intelligence (AGI): taking ChatGPT as an example[J]. Inheritance & innovation, 2023(1): 100-110.)
[16] GABRIELSON A T, ODISHO A Y, CANES D. Harnessing generative artificial intelligence to improve efficiency among urologists: welcome ChatGPT[J]. The journal of urology, 2023, 209(5): 827-829.
[17] MESKÓ B, TOPOL E J. The imperative for regulatory oversight of large language models (or generative AI) in healthcare[J]. NPJ digital medicine, 2023, 6(1): 120.
[18] SHEN Y, HEACOCK L, ELIAS J, et al. ChatGPT and other large language models are double-edged swords[J]. Radiology, 2023, 307(2): e230163.
[19] 陆小华. ChatGPT等智能内容生成与新闻出版业面临的智能变革[J]. 中国出版, 2023(5): 8-15. (LU X H. Intelligent content generation with ChatGPT and the intelligent transformation faced by the news publishing industry[J]. China publishing journal, 2023(5): 8-15.)
[20] 吴小坤. ChatGPT信息“革命”对新闻业的冲击与挑战[J]. 探索与争鸣, 2023(3): 26-29. (WU X K. The impact and challenges of "revolution" on the news industry[J]. Exploration and free views, 2023(3): 26-29.)
[21] AKHTAR P, GHOURI A M, KHAN H U R, et al. Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions[J]. Annals of operations research, 2023, 327(2): 633-657.
[22] 郭淼, 邓斐扬. 人机耦合: ChatGPT对新闻业的重塑可能[J]. 传媒论坛, 2023, 6(6): 9-14. (GUO M, DENG F Y. Human-machine coupling: the possible reshaping of the news industry by ChatGPT[J]. Media forum, 2023, 6(6): 9-14.)
[23] 栾轶玫, 鲁妮. AIGC在重大主题报道中的应用及风控研究[J]. 现代视听, 2023(2): 5-9. (LUAN Y M, LU N. Application and risk control research of AIGC in major theme reporting[J]. Modern audio-video arts, 2023(2): 5-9.)
[24] TSOURMA M, ZAMICHOS A, EFTHYMIADIS E, et al. An AI-enabled framework for real-time generation of news articles based on big EO data for disaster reporting[J]. Future internet, 2021, 13(6): 161.
[25] 黄金.人工智能对新闻业的重塑及问题[J].西部广播电视, 2023, 44(4): 43-45. (HUANG J. Reshaping and problems of artificial intelligence in the news industry[J]. West China broadcasting TV, 2023, 44(4): 43-45.)
[26] DADKHAH M, OERMANN M H, HEGEDÜS M, et al. Detection of fake papers in the era of artificial intelligence[J]. Diagnosis, 2023, 10(4): 390-397.
[27] HAJLI N, SAEED U, TAJVIDI M, et al. Social bots and the spread of disinformation in social media: the challenges of artificial intelligence[J]. British journal of management, 2022, 33(3): 1238-1253.
[28] CIACCIO E J. Use of artificial intelligence in scientific paper writing[J]. Informatics in medicine unlocked, 2023, 41: 101253.
[29] 张萌, 朱鸿军. 知识暗流的合规实践: ChatGPT在学术出版中的应用与挑战[J]. 科技与出版, 2023(5): 33-40. (ZHANG M, ZHU H J. Compliance practices of knowledge undercurrent: the application and challenges of ChatGPT in academic publishing[J]. Science-technology and publication, 2023(5): 33-40.)
[30] LIU M, ZHANG L J, BIEBRICHER C. Investigating students’ cognitive processes in generative AI-assisted digital multimodal composing and traditional writing[J]. Computers & education, 2024, 211: 104977.
[31] MIZUMOTO A, EGUCHI M. Exploring the potential of using an AI language model for automated essay scoring[J]. Research methods in applied linguistics, 2023, 2(2): 100050.
[32] 沈锡宾, 王立磊, 刘红霞. 人工智能生成内容时代学术期刊出版的机遇与挑战[J]. 数字出版研究, 2023, 2(2): 27-33. (SHEN X B, WANG L L, LIU H X. Opportunities and challenges for academic journal publishing in the era of artificial intelligence-generated content[J]. Digital publishing research, 2023, 2(2): 27-33.)
[33] LUND B D, WANG T, MANNURU N R, et al. ChatGPT and a new academic reality: artificial Intelligence-written research papers and the ethics of the large language models in scholarly publishing[J]. Journal of the Association for Information Science and Technology, 2023, 74(5): 570-581.
[34] KHALIFA M, ALBADAWY M. Using artificial intelligence in academic writing and research: an essential productivity tool[J]. Computer methods and programs in biomedicine update, 2024: 100145.
[35] 骆飞, 马雨璇.人工智能生成内容对学术生态的影响与应对——基于ChatGPT的讨论与分析[J].现代教育技术, 2023, 33(6): 15-25. (LUO F, MA Y X. The impact and response of artificial intelligence generated content (AIGC) on academic ecology: a discussion and analysis based on ChatGPT[J]. Modern educational technology, 2023, 33(6): 15-25.)
[36] KIM S G. Using ChatGPT for language editing in scientific articles[J]. Maxillofacial plastic and reconstructive surgery, 2023, 45(1): 13.
[37] ELSE H. Abstracts written by ChatGPT fool scientists[J]. Nature, 2023, 613(7944): 423.
[38] 沈超. ChatGPT: 助力高等教育变革与创新型人才培养[J]. 国家教育行政学院学报, 2023(3): 13-16. (SHEN C. ChatGPT: helping to transform higher education and nurture innovative talent[J]. Journal of National Academy of Education Administration, 2023(3): 13-16.)
[39] 罗生全, 谭爱丽. ChatGPT应用背景下教育发展的逻辑转换及实践路径[J]. 重庆理工大学学报(社会科学), 2023, 37(5): 7-15. (LUO S Q, TAN A L. The logical transformation and practical path of educational development under the application background of ChatGPT[J]. Journal of Chongqing Institute of Technology, 2023, 37(5): 7-15.)
[40] CHIU T K F. The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney[J]. Interactive learning environments, 2023: 1-17.
[41] NGAO A I, SANG G, KIHWELE J E. Understanding teacher educators’ perceptions and practices about ICT integration in teacher education program[J]. Education sciences, 2022, 12(8): 549.
[42] IVANOV S. The dark side of artificial intelligence in higher education[J]. The service industries journal, 2023, 43(15/16): 1055-1082.
[43] 李林. 人工智能生成内容的艺术性研究[J]. 大众文艺, 2020(1): 98-99. (LI L. Aesthetic study of content generated by artificial intelligence[J]. Popular literature and art, 2020(1): 98-99.)
[44] 刘佳, 萧惠丹. 艺术重构与艺术复制——基于文本智能生成图像技术的思考[J]. 工业工程设计, 2021, 3(5): 60-64, 100. (LIU J, XIAO H D. Art reconstruction and art reproduction: reflections on text-based intelligent image generation technology[J]. Industrial and engineering design, 2021, 3(5): 60-64, 100.)
[45] WINGSTRÖM R, HAUTALA J, LUNDMAN R. Redefining creativity in the era of AI? Perspectives of computer scientists and new media artists[J]. Creativity research journal, 2022, 36(2): 177-193.
[46] JIN D Y. AI in cultural production in the Korean cultural industries[J]. Telematics and informatics reports, 2024, 13: 100113.
[47] NICHOLLS S, CUNNINGHAM S, PICKING R. Collaborative artificial intelligence in music production[C] // Proceedings of the audio mostly 2018 on sound in immersion and emotion. Wrexham, United Kingdom: Association for Computing Machinery,, 2018: 1-4.
[48] 刘江峰, 刘雏菲, 齐月, 等. AIGC助力数字人文研究的实践探索: SikuGPT驱动的古诗词生成研究[J]. 情报理论与实践, 2023, 46(5): 23-31. (LIU J F, LIU C F, QI Y, et al. AIGC's practice exploration in supporting digital humanities research: a study on ancient poetry generation driven by SikuGPT[J]. Information studies: theory & application, 2023, 46(5): 23-31.)
[49] HE J. Exploring style transfer algorithms in Animation: enhancing visual[J]. Entertainment computing, 2024, 49: 100625.
[50] MESSER U. Co-creating art with generative artificial intelligence: implications for artworks and artists[J]. Computers in human behavior: artificial humans, 2024, 2(1): 100056.
[51] MILLET K, BUEHLER F, DU G, et al. Defending humankind: anthropocentric bias in the appreciation of AI art[J]. Computers in human behavior, 2023, 143: 107707.
[52] SU J, YANG W. Unlocking the power of ChatGPT: a framework for applying generative AI in education[J]. ECNU Review of Education, 2023, 6(3): 355-366.
[53] LAN G, XIAO S, YANG J, et al. Active learning inspired method in generative models[J]. Expert systems with applications, 2024, 249: 123582.
[54] 邓悦, 许弘楷, 王诗菲. 人工智能风险治理：模式、工具与策略[J]. 改革, 2024(1): 144-158. (DENG Y, XU H K, WANG S F. Artificial intelligence risk governance: models, tools, and strategies[J]. Reform, 2024(1): 144-158.)
[55] ZHENG R, DOU S, GAO S, et al. Secrets of RLHF in large language models part I: PPO[J]. arXiv preprint arXiv:2307.04964, 2023.
[56] RUDIN C. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead[J]. Nature machine intelligence, 2019, 1(5): 206-215.
[57] 张欣. 生成式人工智能的算法治理挑战与治理型监管[J]. 现代法学, 2023, 45(3): 108-123. (ZHANG X. Algorithmic governance challenges and governance supervision in generative artificial intelligence[J]. Modern law science, 2023, 45(3): 108-123.)
[58] 林伟. 人工智能数据安全风险及应对[J]. 情报杂志, 2022, 41(10): 105-111, 88. (LIN W. Artificial intelligence data security risks and countermeasures[J]. Journal of intelligence, 2022, 41(10): 105-111, 88.)
[59] 赵梓羽. 生成式人工智能数据安全风险及其应对[J]. 情报资料工作, 2024, 45(2): 30-37. (ZHAO Z Y. Data security risks and countermeasures of generative artificial intelligence[J]. Information and documentation services, 2024, 45(2): 30-37.)
[60] 付姝菊. 生成式人工智能视域下的人权：张力、威胁与中国因应——以ChatGPT为例[J]. 湖南科技大学学报(社会科学版), 2023, 26(3): 126-134. (FU S J. Human rights in the perspective of generative artificial intelligence: tensions, threats, and China's response——a case study of ChatGPT[J]. Journal of Hunan University of Science Technology (natural science edition), 2023, 26(3): 126-134.)
[61] COX A. The impact of AI, machine learning, automation and robotics on the information professions[R]. London: The Library and Information Association, 2021.
[62] VAN DIS E A M, BOLLEN J, ZUIDEMA W, et al. ChatGPT: five priorities for research[J]. Nature, 2023, 614(7947): 224-226.
[63] 肖峰. 生成式人工智能与数字劳动的相互关联——以ChatGPT为例[J]. 学术界, 2023(4): 52-60. (XIAO F. The interconnectedness of generative AI and digital labor——the case of ChatGPT[J]. Academics, 2023(4): 52-60.)
[64] ISKENDER A. Holy or unholy? Interview with open AI’s ChatGPT[J]. European journal of tourism research, 2023, 34: 1-11.
[65] 蒲清平, 向往. 生成式人工智能——ChatGPT的变革影响、风险挑战及应对策略[J].重庆大学学报(社会科学版), 2023, 29(3): 102-114. (PU Q P, XIANG W. Opportunities and challenges aroused by ChatGPT as generative Al and strategy for response[J]. Journal of Chongqing University (social science edition), 2023, 29(3): 102-114.)
[66] ZARIFHONARVAR A. Economics of ChatGPT: a labor market view on the occupational impact of artificial intelligence[J]. Journal of electronic business & digital economics, 2024, 3(2): 100-116.
[67] ELOUNDOU T, MANNING S, MISHKIN P, et al. GPTs are GPTs: an early look at the labor market impact potential of large language models[J]. arXiv: 2303. 10130, 2023.
[68] 刘艳红. 生成式人工智能的三大安全风险及法律规制——以ChatGPT为例[J]. 东方法学, 2023(4): 29-43. (LIU Y H. Three security risks and legal regulations of generative artificial intelligence: a case study of ChatGPT[J]. Oriental law, 2023(4): 29-43.)
[69] FUI-HOON N F, ZHENG R, CAI J. Generative AI and ChatGPT: applications, challenges, and AI-human collaboration[J]. Journal of information technology case and application research, 2023, 25(3): 277-304.
[70] 商建刚. 生成式人工智能风险治理元规则研究[J]. 东方法学, 2023(3): 4-17. (SHANG J G. On the meta-rules for risk governance of generative artificial intelligence[J]. Oriental law, 2023(3): 4-17.)
[71] 袁曾. 生成式人工智能的责任能力研究[J]. 东方法学, 2023(3): 18-33. (YUAN Z. Research on the responsibility of generative artificial intelligence[J]. Oriental law, 2023(3): 18-33.)
[72] SISON A J G, DAZA M T, GOZALO-BRIZUELA R, et al. ChatGPT: more than a “weapon of mass deception” ethical challenges and responses from the human-centered artificial intelligence (HCAI) perspective[J]. ArXiv:2304.11215, 2023.
[73] 傅莹. 人工智能与国际安全治理路径探讨[J]. 人民论坛, 2020(36): 6-7. (FU Y. Approach to artificial intelligence and international security governance[J]. People's tribune, 2020(36): 6-7.)
[74] 陈全真. 生成式人工智能与平台权力的再中心化[J]. 东方法学, 2023(3): 61-71. (CHEN Q Z. Generative artificial intelligence and the re-centralization of platform power[J]. Oriental law, 2023(3): 61-71.)
[75] HELBERGER N, DIAKOPOULOS N. ChatGPT and the AI Act[R]. Berlin: The Humboldt Institute for Internet and Society, 2023.
[76] 吴汉东. 人工智能生成作品的著作权法之问[J]. 中外法学, 2020, 32(3): 653-673. (WU H D. Rethinking the copyright of works generated by artificial intelligence[J]. Peking University law journal, 2020, 32(3): 653-673.)
[77] 方庆乔. 人工智能生成物的作品认定初探[J]. 内蒙古电大学刊, 2021(1): 33-34, 58. (FANG Q Q. A preliminary study on the work identification of artificial intelligence products[J]. Journal of Inner Mongolia Radio & TV University, 2021(1): 33-34, 58.)
[78] 王悦玥. 再论“独创性”——以人工智能生成内容为例[J]. 南海法学, 2020, 4(3): 96-105. (WANG Y Y. Re-discussion on originality: taking the Al generated content as an example[J]. The south China sea law journal, 2020, 4(3): 96-105.)
[79] 吴高, 黄晓斌. 人工智能时代文本与数据挖掘合理使用规则设计研究[J]. 图书情报工作, 2021, 65(22): 3-13. (WU G, HUANG X B. Study on the design of fair use rules for text and data mining in the age of artificial intelligence[J]. Library and information service, 2021, 65(22): 3-13.)
[80] 唐林垚. 具身伦理下ChatGPT的法律规制及中国路径[J]. 东方法学, 2023(3): 34-46. (TANG L Y. Legal regulation and Chinese approach to the ChatGPT under embodied ethics[J]. Oriental law, 2023(3): 34-46.)
[81] CHENG L, LIU X. From principles to practices: the intertextual interaction between AI ethical and legal discourses[J]. International journal of legal discourse, 2023, 8(1): 31-52.
[82] 陈永伟. 超越ChatGPT: 生成式AI的机遇、风险与挑战[J]. 山东大学学报(哲学社会科学版), 2023(3): 127-143. (CHEN Y W. Beyond ChatGPT: opportunities, risks, and challenges from generative Al[J]. Journal of Shandong University (philosophy and social sciences), 2023(3): 127-143.)
[83] STRUBELL E, GANESH A, MCCALLUM A. Energy and policy considerations for deep learning in NLP[J]. arXiv:1906.02243, 2019.
[84] 陆颖颖, 孙裕彤, 张瑶, 等. 人工智能、机器学习、自动化和机器人技术对信息行业的影响——2021年CILIP专题研讨会综述与启示[J].图书情报工作, 2022, 66(19): 143-152. (LU Y Y, SUN Y T, ZHANG Y, et al. The impact of Al, machine learning, automation and robotics on the information professions——review and enlightenment of CILIP special symposium in 2021[J]. Library and information service, 2022, 66(19): 143-152.)
[85] OZMEN GARIBAY O, WINSLOW B, ANDOLINA S, et al. Six human-centered artificial intelligence grand challenges[J]. International journal of human-computer interaction, 2023, 39(3): 391-437.
[86] LEE J H Y, HSU C, SILVA L. What lies beneath: unraveling the generative mechanisms of smart technology and service design[J]. Journal of the association for information systems, 2020, 21(6): 3.
[87] SHNEIDERMAN B. Human-centered AI: a new synthesis[C]//Human-computer interaction-INTERACT 2021: 18th IFIP TC 13 international conference. Bari: Springer, 2021: 3-8.
[88] DEVRIES T, DROZDZAL M, TAYLOR G W. Instance selection for GANs[C]//34th Conference on Neural Information Processing Systems. Vancouver, Canada, 2020: 13285-13296.
[89] GUPTA P, DING B, GUAN C, et al. Generative AI: A systematic review using topic modeling techniques[J]. Data and information management, 2024, 8(2): 100066.
[90] BERENTE N, GU B, RECKER J, et al. Managing artificial intelligence[J]. MIS quarterly, 2021, 45(3): 1433-1450.
[91] TRIGUERO I, MOLINA D, POYATOS J, et al. General purpose artificial intelligence systems (GPAIS): properties, definition, taxonomy, societal implications and responsible governance[J]. Information fusion, 2024, 103: 102135.
[92] ROBERTSON J, FERREIRA C, BOTHA E, et al. Game changers: a generative AI prompt protocol to enhance human-AI knowledge co-construction[J]. Business horizons, 2024.
[93] LONG D, MAGERKO B. What is AI literacy? competencies and design considerations[C]//Proceedings of the 2020 CHI conference on human factors in computing systems. New York: Association for Computing Machinery, 2020: 1-16.
[94] CHIU T K F, AHMAD Z, ISMAILOV M, et al. What are artificial intelligence literacy and competency? A comprehensive framework to support them[J]. Computers and education open, 2024, 6:100171.
[95] The News/Media Alliance. News/Media Alliance AI Principles[EB/OL]. [2024-07-02]. https://www.newsmediaalliance.org/ai-principles/.
[96] 黄尹旭. Web3.0时代重构竞争法治的开放和统一[J].东方法学, 2023(3): 98-107. (HUANG Y X. The openness and unification of the rule of law of competition in the era of web 3.0[J]. Oriental law, 2023(3): 98-107.)
[97] HACKER P. The European AI liability directives-critique of a half-hearted approach and lessons for the future[J]. Computer law & security review, 2023, 51: 105871.
[98] 王洋, 闫海. 生成式人工智能的风险迭代与规制革新——以ChatGPT为例[J]. 理论月刊, 2023(6): 14-24. (WANG Y, YAN H. Good governance of ChatGPT: risk iteration and regulatory innovation in generative artificial intelligence[J]. Theory monthly, 2023(6): 14-24.)
[99] 聂童. ChatGPT生成式AI的法律风险及合规[J].互联网天地, 2023(3): 29-33. (NIE T. Legal risks and compliance of ChatGPT generative AI[J]. Internet world, 2023(3): 29-33.)
[100] MARIANI M, DWIVEDI Y K. Generative artificial intelligence in innovation management: a preview of future research developments[J]. Journal of business research, 2024, 175: 114542.
[101] FRUEHAUF E, BEMAN-CAVALLARO A, SCHMIDT L E. Developing a foundation for the informational needs of generative AI users through the means of established interdisciplinary relationships[J]. The journal of academic librarianship, 2024, 50(3): 102876.
[102] SHEN Y. The ethical dilemma of artificial intelligence and its construction of moral responsibility[J]. The frontiers of society, science and technology, 2023, 5(14): 60-66.
[103] 阿里巴巴人工智能治理与可持续发展研究中心. 生成式人工智能治理与实践白皮书[R/OL]. [2024-04-13]. https://s.alibaba.com/cn/aaigWhitePaperDetails. (Alibaba Artificial Intelligence Governance Research Center. Generative artificial intelligence governance & practice white paper[R/OL]. [2024-04-13]. https://s.alibaba.com/cn/aaigWhitePaperDetails.)
[104] TABONE W, DE WINTER J. Using ChatGPT for human-computer interaction research: a primer[J]. Royal Society Open Science, 2023, 10(9): 231053.
