{"title":"计算机图形学中生成式人工智能的伦理考虑和影响。","authors":"Sudhir K Routray","doi":"10.1109/MCG.2025.3570722","DOIUrl":null,"url":null,"abstract":"<p><p>Generative AI has immense potential to create diverse computer graphics for various applications, but it also raises significant ethical issues. This paper examines the ethical landscape of using generative AI in computer graphics, highlighting key concerns such as the authenticity of generated content, intellectual property rights, and cultural appropriation. Additional ethical challenges include algorithmic bias in graphics generation, representation, privacy, inclusivity, and the impact on human-computer interaction and artistic integrity. The displacement of creative professionals, erosion of trust in visual media, and psychological effects of AI-generated content further complicate the ethical debate. Addressing these issues requires a comprehensive approach that integrates technological innovation with regulatory oversight, ethical education, and collaboration among stakeholders. By carefully considering these ethical dimensions, we can fully leverage generative AI's potential in computer graphics while mitigating its risks.</p>","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"PP ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ethical Considerations and Implications of Generative AI in Computer Graphics.\",\"authors\":\"Sudhir K Routray\",\"doi\":\"10.1109/MCG.2025.3570722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Generative AI has immense potential to create diverse computer graphics for various applications, but it also raises significant ethical issues. This paper examines the ethical landscape of using generative AI in computer graphics, highlighting key concerns such as the authenticity of generated content, intellectual property rights, and cultural appropriation. Additional ethical challenges include algorithmic bias in graphics generation, representation, privacy, inclusivity, and the impact on human-computer interaction and artistic integrity. The displacement of creative professionals, erosion of trust in visual media, and psychological effects of AI-generated content further complicate the ethical debate. Addressing these issues requires a comprehensive approach that integrates technological innovation with regulatory oversight, ethical education, and collaboration among stakeholders. By carefully considering these ethical dimensions, we can fully leverage generative AI's potential in computer graphics while mitigating its risks.</p>\",\"PeriodicalId\":55026,\"journal\":{\"name\":\"IEEE Computer Graphics and Applications\",\"volume\":\"PP \",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Computer Graphics and Applications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1109/MCG.2025.3570722\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Computer Graphics and Applications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/MCG.2025.3570722","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Ethical Considerations and Implications of Generative AI in Computer Graphics.
Generative AI has immense potential to create diverse computer graphics for various applications, but it also raises significant ethical issues. This paper examines the ethical landscape of using generative AI in computer graphics, highlighting key concerns such as the authenticity of generated content, intellectual property rights, and cultural appropriation. Additional ethical challenges include algorithmic bias in graphics generation, representation, privacy, inclusivity, and the impact on human-computer interaction and artistic integrity. The displacement of creative professionals, erosion of trust in visual media, and psychological effects of AI-generated content further complicate the ethical debate. Addressing these issues requires a comprehensive approach that integrates technological innovation with regulatory oversight, ethical education, and collaboration among stakeholders. By carefully considering these ethical dimensions, we can fully leverage generative AI's potential in computer graphics while mitigating its risks.
期刊介绍：
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.
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