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].

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 adaptations of classic dramas, but this has also resulted in a proliferation of low-quality, vulgar content that distorts the original works' essence [1][2]. - The modification of classic dramas using AI can lead to significant changes in the original creators' intended messages, potentially violating the spirit of the original works [1][2]. Group 2: Legal Implications and Copyright Issues - The copyright of classic dramas 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 infringe on their portrait rights, highlighting the legal complexities surrounding AI-generated content [2]. Group 3: Responsibilities of Creators and Platforms - Creators and platforms must respect original creators' rights and seek proper authorization for AI modifications to ensure compliance with copyright laws [2][3]. - There is a need for creators to adhere to ethical boundaries in their adaptations, avoiding excessive distortion of original narratives and characters, which could harm the reputation of the original works [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 share responsibility 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 "infringement" in the context of classic works of art and culture [1][2]. Group 1: AI Technology and Content Creation - AI technology has enabled diverse forms of artistic reconstruction, including film adaptations, AI singer covers, and style imitation in painting, expanding creative boundaries [1]. - The phenomenon of AI modification, particularly of classic works, often prioritizes sensationalism over respect for the original content, potentially distorting the original creators' intentions and undermining the essence of the original works [1][2]. Group 2: Intellectual Property Concerns - The use of AI for modifying classic works without the original creators' permission may constitute copyright infringement, especially since the copyrights of many classic works have not expired [2]. - AI-generated content that distorts the portrayal of actors or characters may infringe on the rights of the individuals involved, raising significant legal issues [2]. Group 3: Legal and Ethical Responsibilities - Creators and platforms must respect the rights of original creators and seek proper authorization to ensure that AI modifications comply with copyright laws [2][3]. - The responsibility for any infringement lies with the video publishers, while platforms that fail to fulfill their review obligations may also face liability for the consequences of such infringements [3].

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].