Regulations on Artificial Intelligence (AI): Decoding China's Approach and How India Can Learn From China

Tanima Bhatia
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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.
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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
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。
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