arXiv:2507.14242cs.CYcs.AI2025-07

针对AI生成内容的虚假信息,提出伦理审查与优化框架。

Culling Misinformation from Gen AI: Toward Ethical Curation and Refinement

  • 构建多主体协同的AI内容治理思路。
  • 揭示ChatGPT与深度伪造在医疗教育等领域的风险。
  • 面向未来提供可落地的政策与实践指南。

尽管人工智能并非新领域,但以ChatGPT为代表的生成式工具的发布,使其成为产业界与学术界关注焦点。该技术虽能自动化日常流程、拓展创意并提升信息获取效率,但也带来显著风险,尤其在医疗、教育、科学、学术、零售与金融等领域,可能引发不公与虚假信息传播。本文聚焦于这些风险,分析其成因与影响,强调需加强用户、开发者与执法部门间的协作,减少潜在危害。基于大量学术研究,提出一系列面向未来的治理准则与政策建议,旨在在保障创新的同时实现负责任的技术应用。

原文摘要 · Abstract (English)

While Artificial Intelligence (AI) is not a new field, recent developments, especially with the release of generative tools like ChatGPT, have brought it to the forefront of the minds of industry workers and academic folk alike. There is currently much talk about AI and its ability to reshape many everyday processes as we know them through automation. It also allows users to expand their ideas by suggesting things they may not have thought of on their own and provides easier access to information. However, not all of the changes this technology will bring or has brought so far are positive; this is why it is extremely important for all modern people to recognize and understand the risks before using these tools and allowing them to cause harm. This work takes a position on better understanding many equity concerns and the spread of misinformation that result from new AI, in this case, specifically ChatGPT and deepfakes, and encouraging collaboration with law enforcement, developers, and users to reduce harm. Considering many academic sources, it warns against these issues, analyzing their cause and impact in fields including healthcare, education, science, academia, retail, and finance. Lastly, we propose a set of future-facing guidelines and policy considerations to solve these issues while still enabling innovation in these fields, this responsibility falling upon users, developers, and government entities.

AI伦理虚假信息政策建议

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