Generative AI in Creative Domains in Ethical Implications
DOI:
https://doi.org/10.15662/IJRAI.2021.0406006Keywords:
Generative AI, creative domains, ethics, intellectual property, authenticity, societal impact, bias, human creativity, responsible AI, regulatory frameworksAbstract
The rapid proliferation of generative AI technologies has revolutionized creative domains, including art, music, literature, and design. While these technologies present immense potential for innovation, they also raise complex ethical concerns. This paper explores the ethical implications of employing generative AI in creative fields, focusing on issues such as intellectual property rights, authenticity, societal impact, and the evolving role of human creativity. One prominent concern is the ownership of AI-generated content—determining whether the creator, the user, or the AI system itself holds rights over such outputs. Additionally, generative AI blurs the line between original and derivative works, potentially undermining the value of human craftsmanship. The potential for AI to perpetuate biases and stereotypes embedded in its training data further exacerbates societal risks, making it crucial to ensure responsible AI development and usage. Moreover, the widespread adoption of generative AI could lead to job displacement in traditionally human-driven creative sectors, sparking debates about economic equity. At the same time, the democratization of creativity through accessible AI tools offers new opportunities for marginalized voices to participate in creative expression. Striking a balance between technological advancement and ethical responsibility requires robust regulatory frameworks, transparent AI models, and collaboration between technologists, policymakers, and creative communities. This paper underscores the need for ongoing dialogue and interdisciplinary research to navigate the ethical challenges of generative AI, ensuring that its application fosters inclusivity, fairness, and respect for human creativity in the evolving digital landscape.
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