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@article{174173,
        author = {Mayur Dudhbarve and Jayant Bokade and Siddhant Hatmode and Chaitanya Vinchurkar and Sneha Sonkusare and Shruti Tiwari},
        title = {Ethical Implications of Deepfake Technology and Generative AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {3407-3412},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174173},
        abstract = {Deepfake technology and generative AI have revolutionized digital content creation by offering promising advances in media, education, and entertainment, but they have also raised serious ethical concerns about misinformation, privacy, identity theft, and public trust. This paper examines the ethical implications of deepfake technology, particularly with respect to social institutions, political integrity, and cybersecurity. By exploring the tension between innovation and ethical responsibility, it demonstrates the need for effective regulatory frameworks, detection techniques, and public education campaigns to minimize harms while realizing the benefits of generative AI. Furthermore, the research examines existing legislative proposals, corporate policies, and technological countermeasures to combat negative effects of deepfake applications. As AI develops, resolving these ethical concerns will require interdisciplinary cooperation, responsible AI practice, and proactive policymaking.},
        keywords = {},
        month = {March},
        }