The rapidity with which generative AI has been adopted and advanced has
raised legal and ethical questions related to the impact on artists rights,
content production, data collection, privacy, accuracy of information, and
intellectual property rights. Recent administrative and case law challenges
have shown that generative AI software systems do not have independent
intellectual property rights in the content that they generate. It remains to
be seen whether human content creators can retain their intellectual property
rights against generative AI software, its developers, operators, and owners
for the misappropriation of the work of human creatives, given the metes and
bounds of existing law. Early signs from various courts are mixed as to whether
and to what degree the results generated by AI models meet the legal standards
of infringement under existing law.

生成型 AI 技术对艺术家权益、内容制作、数据收集、隐私、信息准确性和知识产权等方面产生了法律和伦理问题，尤其在是否侵犯了人类创作者的知识产权方面引发了法律挑战。AI 模型生成的结果能否满足现行法律下侵权的法定标准，各个法院的早期判断并不一致。

生成型人工智能与美国知识产权法

Generative AI and US Intellectual Property Law

This paper presents FASTFOOD, a rule-based Natural Language Generation
Program for cooking recipes. Recipes are generated by using an Automated
Theorem Proving procedure to select the ingredients and instructions, with
ingredients corresponding to axioms and instructions to implications. FASTFOOD
also contains a temporal optimization module which can rearrange the recipe to
make it more time-efficient for the user, e.g. the recipe specifies to chop the
vegetables while the rice is boiling. The system is described in detail, using
a framework which divides Natural Language Generation into 4 phases: content
production, content selection, content organisation and content realisation. A
comparison is then made with similar existing systems and techniques.

本文提出了 FASTFOOD，一种基于规则的自然语言生成程序，可用于烹饪食谱。该程序使用自动定理证明程序来选择成分和指示，具有一个时间优化模块，可以使其更加高效，并使用一种框架将自然语言生成分为 4 个阶段：内容生产，内容选择，内容组织和内容实现。最后将其与类似的现有系统和技术进行了比较。