Ethical Considerations and Implications of Generative AI in Computer Graphics

Generative artificial intelligence (AI) has immense potential to create diverse computer graphics for various applications, but it also raises significant ethical issues. This article 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.

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Publication Details

Journal
IEEE Computer Graphics and Applications
Published
2025-03-01
DOI
https://doi.org/10.1109/mcg.2025.3570722
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
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article

Ethical Considerations and Implications of Generative AI in Computer Graphics

Sudhir K. Routray
1 citations
IEEE Computer Graphics and Applications
Ethics and Social Impacts of AI
2.37
article

Ethical Considerations and Implications of Generative AI in Computer Graphics

Sudhir K. Routray
article en
1 citations

Abstract

Generative artificial intelligence (AI) has immense potential to create diverse computer graphics for various applications, but it also raises significant ethical issues. This article 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.

IEEE Computer Graphics and ApplicationsVol. 45(2)
CMR University (IN)
Openalex Percentile: Top 12%
Ethics and Social Impacts of AI
2.37
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