The Impact of Generative AI on Creativity and Originality

  • Unique Paper ID: 176204
  • Volume: 11
  • Issue: 11
  • PageNo: 4998-5005
  • Abstract:
  • The fast-paced evolution of Generative Artificial Intelligence (GenAI) has introduced far-reaching implications to the fields of creativity and originality, and with it, critical examinations of the changing dynamic between human and machine-created content. This research examines the transformative effects of GenAI technologies, specifically on cutting- edge deep learning models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer- based architectures like GPT and Diffusion Models. By a systematic survey of the literature and examination of recent case studies in areas including art, music, literature, education, fashion, and digital media, this research assessed the ways in which GenAI tools enhance human ideation, mechanize content creation, and transform creative processes. The results indicate that although GenAI shows remarkable abilities in producing original, high- quality material, the issue of real originality is controversial due to the model’s reliance on available data. Furthermore, ethical issues, including bias, authorship attribution, and abuse highlight the importance of trans-parent and responsible deployment. By combining qualitative findings and empirical testing, the research here brings to light the twofold nature of GenAI as a partner in human imagination and as an agent of disruption that challenge. The research concludes by calling for a human-centered approach that tethers computational creativity to interpretability, emotional depth, and ethical vision, so that GenAI integration complements and serves to enrich rather than devalue the traditional conceptions of authorship and innovation in human originality.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 4998-5005

The Impact of Generative AI on Creativity and Originality

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