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@article{180996,
        author = {Jagdeep Singh and Jeevanjot Kaur and Rohit Kumar and Anchal Singh},
        title = {Ethical Implications of AI-Generated Content: A Comparative Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {6325-6332},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180996},
        abstract = {This study compares existing literature, user viewpoints, and technological advancements to examine the ethical implications of AI-generated content. Investigating critically how generative AI, particularly language models like GPT, influences ethical domains such as bias, misinformation, privacy, authorship, and trust is the primary aim.
The study summarizes the developing conversation on the responsible use of AI content-generation tools by drawing on an interdisciplinary review of peer-reviewed literature, governmental regulations, and empirical data. A qualitative approach was generally used by comparing and contrasting well-known AI language models and conducting a thematic content analysis of scholarly literature.
With the intention of interpreting user perceptions and policy recommendations, the Technology Acceptance Model (TAM), Framing Theory, and normative ethical frameworks such as utilitarianism and deontology were exhibited. Key findings reveal a two-pronged story: generative AI brings risks of deepfakes, copyright infringement, social bias imitation, and academic dishonesty while simultaneously boosting efficiency and innovation in industries such as journalism, education, and healthcare.
Adaptive ethical governance may be necessary to address these issues, as current regulatory frameworks are still insufficient. The study comes to the conclusion that in order to reduce risks and promote responsible innovation in generative AI content, a sophisticated context-aware strategy integrating technological literacy, ethical design principles, and international policy coordination is required.},
        keywords = {AI ethics, Generative AI, Content authenticity, Deepfakes, Policy frameworks},
        month = {August},
        }