生成式AI在内容创作中的规制现状与伦理困境的研究
Research on the Regulatory Status and Ethical Dilemmas of Generative AI in Content Creation
摘要: 基于生成式AI在内容创作领域的广泛应用,虽然能够带来便捷与创新,但是同时也伴随着数据隐私、版权归属、内容真实性和偏见等伦理困境,以及相关法律法规的应对措施和规制路径等问题。通过梳理国内外政策法规,提出完善法律体系、强化技术监管、提高伦理意识等建议,以平衡技术创新和伦理法律规范之间的关系,推动生成式AI在内容创作领域的健康可持续发展。
Abstract: Although generative AI can bring convenience and innovation based on the wide application of generative AI in the field of content creation, it is also accompanied by ethical dilemmas such as data privacy, copyright ownership, content authenticity and bias, as well as relevant laws and regulations. By sorting out domestic and foreign policies and regulations, we put forward suggestions such as improving the legal system, strengthening technical supervision, and improving ethical awareness, so as to balance the relationship between technological innovation and ethical legal norms, and promote the healthy and sustainable development of generative AI in the field of content creation.
参考文献
|
[1]
|
杨海平, 冯明会. 人工智能赋能出版产业深度融合发展: 现状洞察、发展困境与实践路径[J]. 中国编辑, 2024(12): 45-51.
|
|
[2]
|
黄佳惠. 5G时代下信息安全挑战与策略研究[J]. 网络安全技术与应用, 2024(11): 95-97.
|
|
[3]
|
陈雨, 杨璐颖, 冯锐. 从内容生产到秩序重塑: 生成式AI出版的内容生产风险与规制研究[J]. 出版广角, 2024(22): 61-67.
|
|
[4]
|
刘高含. 生成式AI虚假信息风险类型化分析及治理路径[J]. 科技传播, 2024, 16(20): 109-113.
|
|
[5]
|
蒋勋, 苏新宁. AI赋能社会科学研究过程的变革[J]. 西华大学学报(哲学社会科学版), 2024, 43(6): 13-24.
|