Core Viewpoint - The rapid development of artificial intelligence (AI) technology has led to a surge in AI-generated content (AIGC), which raises concerns about the boundaries of "fair use" and "infringement" in the context of classic works being modified for entertainment purposes [1][2]. Group 1: AI Technology and Content Modification - AI technology has enabled diverse forms of artistic reconstruction, including film adaptations and music covers, but this has blurred the lines between creative innovation and copyright infringement [1][2]. - The modification of classic works using AI can alter the original creators' intended meanings and themes, potentially disrespecting the original material and its cultural significance [1][2]. Group 2: Legal Implications and Copyright Issues - The copyright of classic works has not expired, and unauthorized modifications using AI may infringe on the original creators' rights [2]. - The use of actors' likenesses in parody videos can also violate their portrait rights, leading to further legal complications [2]. Group 3: Responsibilities of Creators and Platforms - Creators and platforms must respect the rights of original creators and seek proper authorization for AI-generated adaptations to ensure compliance with copyright laws [2][3]. - There is a need for creators to maintain the integrity of the original works and avoid excessive reinterpretation that could damage the original's reputation and the performers' images [2][3]. Group 4: Accountability for Infringement - If infringement occurs, video publishers may face liability, and platforms that fail to fulfill their review obligations could also be held accountable for the consequences of such actions [3].

Core Viewpoint - The rapid development of artificial intelligence (AI) technology has led to a surge in AI-generated content (AIGC), which raises concerns about the boundaries of "fair use" and copyright infringement, particularly in the context of classic films and television shows [1][2]. Group 1: AI Technology and Content Creation - AI technology has enabled diverse forms of artistic reconstruction, including film remakes, AI singer covers, and style imitation in painting, expanding creative boundaries [1]. - The use of AI for modifying classic works can lead to a distortion of the original creators' intentions and the essence of the original works, potentially disrespecting cultural heritage [1][2]. Group 2: Copyright and Legal Implications - Classic works are still under copyright, and unauthorized modifications using AI may infringe on the original creators' rights [2]. - The creation of parody or altered videos using original characters and actors' likenesses can violate portrait rights, leading to legal repercussions [2]. Group 3: Responsibilities of Creators and Platforms - Creators and platforms must respect the rights of original creators and seek proper authorization for any AI-based adaptations to ensure compliance with copyright laws [2][3]. - There is a need for creators to maintain the integrity of the original works and avoid excessive reinterpretation that could harm the original's reputation and the portrayal of its characters [2][3]. Group 4: Accountability for Infringement - If copyright infringement occurs, video publishers may face liability, and platforms that fail to fulfill their review obligations could also be held accountable for the consequences of such infringements [3].

经典老剧承载着几代人的文化记忆与艺术匠心，同时也是文化传承的载体。尽管魔改也是一种创新，但 这种片面追求夺人眼球的效果，充斥低俗恶搞内容，超过了对原著进行改编所允许限度的魔改，通过 AI技术的改编，把很多原创者表达的内涵、内核、内容，包括原创的思想都改变了，违背了原创者的 初心，与原著精神内核相悖的形象，恐有亵渎经典之嫌。 泛滥的AI魔改，尤其是对那些已经深入人心、公认具有很高艺术价值的经典老剧魔改，在让人感觉荒 谬甚至不适的同时，恐怕还有更大的隐患。借助于AI技术，轻易将画面、人物动作进行修改，带来的 变动更加夸张，也更加冲击感官认知。但这种所谓的"二次创作"则可能涉及知识产权法律问题。 吴学安 唐僧和孙悟空争当"话事人"、《甄嬛传》变成"枪战片"、《人民的名义》中沙瑞金和高育良开展魔法攻 击……近段时间，一些人工智能（AI）魔改内容在短视频平台上引发争议。 随着人工智能技术的飞速发展，多元化的艺术重构形式被催生，从影视二次创作、AI歌手翻唱到绘画 风格模仿，AI生成内容（AIGC）在拓宽创作边界的同时，也让"合理使用"与"侵权"的界定愈发模糊。 随着人工智能的发展，经过AI技术处理的短视频，不仅愈发逼真流 ...

吴学安 AI技术确实带来很多积极的方面，也有一些负面的效果，它会滋生很多新型的侵权行为。尽管AI技术 作为一种工具和手段本身并不构成侵权，因为工具往往是中立的。但使用这种软件技术去进行魔改则有 可能构成侵权。一方面，目前这类经典老剧版权并未过期，如果未获得原创者许可，便使用AI擅自对 原作进行再加工、再创作，则涉嫌侵犯原创者的著作权。另一方面，在一些恶搞型换脸视频中，使用了 原来影视剧中的某些人物形象，使用演员的肖像，让演员形象受到严重歪曲，则涉嫌侵犯当事人肖像 权。 随着人工智能的发展，经过AI技术处理的短视频，不仅愈发逼真流畅、真伪难辨，而且制作门槛越来 越低。任何影视二次创作都可能涉及知识产权问题，AI爆改经典影视作品也概莫能外。AI爆改视频理 应严守二次创作法律边界。一方面，创作者、发布平台要尊重原创者的合法权益，积极寻求与版权方的 合作和授权，确保"AI二创"合法合规。另一方面，创作者在二创过程中也应严守创作底线，不过度解 构、曲解原作内容。不符合人物和剧情设定的颠覆式、反转式爆改，不仅达不到幽默的效果，还会对原 作品版权和表演者的形象造成损害，造成对传统经典的冒犯和践踏。 无论如何，AI技术不能成 ...

面对全球科技变革趋势，中国电影产业并未被动跟随。在中宣部指导下，中国电影科学技术研究所（下 称"电科所"）、华夏电影发行有限责任公司（下称"华夏电影"）、世界超高清视频产业联盟（下 称"UWA联盟"）、华为技术有限公司（下称"华为"）深入开展数字电影科技创新，在技术标准、关键 装备国产化研制等方面取得阶段性成果，正构建基于HDR LED、菁彩Vivid的电影新技术模式生态系统 和标准体系，共同推进菁彩影像和菁彩声在电影行业应用，推动中国内容、中国技术、中国标准国际化 跃升和海外推广。 转自：经济参考报 新华财经北京9月15日电（记者吴蔚） 当人工智能（AI）、虚拟拍摄技术从概念走向实操，当数字视觉 特效、高格式电影、新一代音视频技术实现规模化应用，全球电影产业正经历一场深刻的技术变革。在 这场变革中，技术不再是单纯服务于艺术表达的"锦上添花"，而是从创作逻辑、制作流程到发行放映、 终端体验，全方位重塑电影产业的核心链条。随着我国自主技术标准的突破、产业链各方的协同攻坚， 以菁彩Vivid技术为代表的创新成果正推动我国电影全产业链实现从"跟跑"到"并跑"乃至"领跑"的跨越， 为电影强国建设注入强劲动能。 电影产 ...

Core Viewpoint - The rise of AI, particularly generative AI, is significantly transforming the job market and entrepreneurial landscape, posing threats to certain types of businesses while also creating new opportunities for others [1][4][43]. Group 1: Impact of AI on Employment - According to McKinsey's 2023 report, by 2030, approximately 12 million people in the U.S. may need to change jobs due to AI automating 60%-70% of tasks, especially in white-collar jobs [2]. - The World Economic Forum warns that AI could lead to the disappearance of 83 million jobs globally in the next five years, despite the emergence of 69 million new jobs, resulting in a net loss of 14 million jobs [3]. Group 2: Vulnerable Entrepreneurial Segments - Entrepreneurs relying on repetitive labor are at high risk, as AI excels in standardizing and automating tasks such as data entry and document organization [8][9]. - Content creators lacking originality and deep insights are also vulnerable, as AI-generated content can easily surpass template-based or "rewritten" content [12][13]. - Businesses that cater to "pseudo-needs" or low-value services are threatened, as AI can streamline processes and eliminate inefficiencies, making these services redundant [17][18]. Group 3: Resilient Entrepreneurial Segments - Entrepreneurs who can integrate AI tools to create new business models are well-positioned for success, leveraging AI to enhance efficiency and decision-making [24][25]. - Those skilled in brand building and community engagement can thrive, as AI struggles to replicate human emotional connections and storytelling abilities [28][30]. - Businesses that require complex interpersonal interactions, such as high-end services and emotional support roles, are less likely to be replaced by AI due to the need for human empathy and adaptability [35][40].

Core Viewpoint - The increasing capability of AI-generated content has led universities to implement strict measures for detecting AI usage in student theses, raising concerns about the reliability of such detection systems and the potential for misjudgment in evaluating original work [1][5]. Group 1: AI Detection Issues - Some universities require that students' theses have an AI detection rate below 15%, but there are reports of original work being flagged as having a high AI rate due to inconsistencies in detection results [1][4]. - A case was reported where a student's thesis showed a significant fluctuation in AI detection rates within a day, from 10.37% to 27.54%, leading to additional costs for revisions [1][2]. - A professor experienced similar issues, where content developed over three years was incorrectly flagged as AI-generated, highlighting the inadequacy of current detection tools [3][4]. Group 2: Expert Opinions - Experts acknowledge that misjudgments in AI detection are common and that the technology cannot completely eliminate errors, as it may not be trained on specific contexts [5]. - The standards for determining whether a paper is AI-generated remain vague, making it challenging for detection systems to accurately assess originality [5]. - Recommendations suggest that universities should not enforce AI detection as a mandatory graduation requirement but rather focus on guiding students in the appropriate use of AI tools [5].