人工智能(AI)法规:解密中国的做法以及印度如何向中国学习

Tanima Bhatia
{"title":"人工智能(AI)法规:解密中国的做法以及印度如何向中国学习","authors":"Tanima Bhatia","doi":"10.36948/ijfmr.2024.v06i03.20155","DOIUrl":null,"url":null,"abstract":"The rapid advancement of Artificial Intelligence (AI) in China has led to the implementation of significant regulatory efforts, including regulations on Recommendation Algorithms, Deep Synthesis, and Generative AI. These regulations aim to address issues, such as discrimination, transparency in content generation, and accuracy in AI outputs. China’s approach to AI regulations is guided by the New Generational AI Development Plan of 2017, emphasizing technology-driven innovation, socialist principles, market dominance, and open-source collaboration. The country’s strategic roadmap focuses on achieving leadership in AI development, aligning with global trends, and fostering innovation through policy reforms and ethical frameworks. In comparison, India’s fragmented frameworks illustrate a lack of an organized governance system. By adopting principles from China’s regulations, such as developing comprehensive legislations, establishing centralized authorities, and mandating transparency and user control measures, India can ensure the responsible advancement of AI technologies and address the emerging ethical, legal, and social challenges.","PeriodicalId":391859,"journal":{"name":"International Journal For Multidisciplinary Research","volume":"29 7","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Regulations on Artificial Intelligence (AI): Decoding China's Approach and How India Can Learn From China\",\"authors\":\"Tanima Bhatia\",\"doi\":\"10.36948/ijfmr.2024.v06i03.20155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rapid advancement of Artificial Intelligence (AI) in China has led to the implementation of significant regulatory efforts, including regulations on Recommendation Algorithms, Deep Synthesis, and Generative AI. These regulations aim to address issues, such as discrimination, transparency in content generation, and accuracy in AI outputs. China’s approach to AI regulations is guided by the New Generational AI Development Plan of 2017, emphasizing technology-driven innovation, socialist principles, market dominance, and open-source collaboration. The country’s strategic roadmap focuses on achieving leadership in AI development, aligning with global trends, and fostering innovation through policy reforms and ethical frameworks. In comparison, India’s fragmented frameworks illustrate a lack of an organized governance system. By adopting principles from China’s regulations, such as developing comprehensive legislations, establishing centralized authorities, and mandating transparency and user control measures, India can ensure the responsible advancement of AI technologies and address the emerging ethical, legal, and social challenges.\",\"PeriodicalId\":391859,\"journal\":{\"name\":\"International Journal For Multidisciplinary Research\",\"volume\":\"29 7\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal For Multidisciplinary Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36948/ijfmr.2024.v06i03.20155\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal For Multidisciplinary Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36948/ijfmr.2024.v06i03.20155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

人工智能(AI)在中国的快速发展导致了大量监管工作的实施,包括对推荐算法、深度合成和生成式人工智能的监管。这些法规旨在解决歧视、内容生成的透明度和人工智能输出的准确性等问题。中国的人工智能法规方针以 2017 年《新一代人工智能发展规划》为指导,强调技术驱动创新、社会主义原则、市场主导和开源协作。中国的战略路线图侧重于实现人工智能发展的领先地位,与全球趋势保持一致,并通过政策改革和道德框架促进创新。相比之下,印度支离破碎的框架表明其缺乏有组织的治理体系。通过采用中国法规中的原则,如制定全面的立法、建立中央管理机构、规定透明度和用户控制措施,印度可以确保以负责任的方式推进人工智能技术,并应对新出现的伦理、法律和社会挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regulations on Artificial Intelligence (AI): Decoding China's Approach and How India Can Learn From China
The rapid advancement of Artificial Intelligence (AI) in China has led to the implementation of significant regulatory efforts, including regulations on Recommendation Algorithms, Deep Synthesis, and Generative AI. These regulations aim to address issues, such as discrimination, transparency in content generation, and accuracy in AI outputs. China’s approach to AI regulations is guided by the New Generational AI Development Plan of 2017, emphasizing technology-driven innovation, socialist principles, market dominance, and open-source collaboration. The country’s strategic roadmap focuses on achieving leadership in AI development, aligning with global trends, and fostering innovation through policy reforms and ethical frameworks. In comparison, India’s fragmented frameworks illustrate a lack of an organized governance system. By adopting principles from China’s regulations, such as developing comprehensive legislations, establishing centralized authorities, and mandating transparency and user control measures, India can ensure the responsible advancement of AI technologies and address the emerging ethical, legal, and social challenges.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信