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@article{186324,
        author = {Pranjali Tewari},
        title = {Ethical Dilemmas in Generative AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1143-1152},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186324},
        abstract = {The ethical problems of generative AI systems are burning issues that have been identified in this paper because the potential ethical problems that could be linked with generative AI systems, including data protection, privacy, copyright infringement, biases, misinformation, and social inequality, have been considered in the current paper in an exhaustive empirical and interdisciplinary approach. The possibilities of generative AI to generate highly realistic deep fakes and synthetic media and, consequently, obliterate the concept pillars of truth, trust, and democracy are adding to these problems. Taking into account the opinions of different spheres like media, healthcare, and education, the study presents the argument that AI systems that promote equity and fail to sustain social injustice should be created. It is a constructive view on the ethical perfection of AI because it implies priority in developing regulatory systems, standards, and structures where human rights, justice, and transparency will triumph. The paper recommends policymakers, technologists, and researchers to engage in a multidisciplinary discussion by joining hands and making sure of the responsible development of AI, which should adhere to societal values and ethical norms. It stresses the timeliness of having some discussions on these ethical issues and on promoting the creation of generatively implemented AI that is socially helpful and ethically beneficial and play a major role in the discussion of controlling the ethical implication of AI in the contemporary digital world. The research brings into foreground the hypothetical and practical implications of these challenges and proposes some future directions of research.},
        keywords = {},
        month = {November},
        }