Ethical Implications of Generative Artificial Intelligence in Content Creation
Shailaj Kumar Shrivastava1, Chandan Shrivastava2
1Prof. (Dr.) Shailaj Kumar Shrivastava, Principal, K.L.S.College, Nawada. (A constituent unit of Magadh University, Bodh Gaya), (Bihar), India.
2Chandan Shrivastava, Application Developer, Oracle India Pvt Ltd, HITEC City, Madhapur, Hyderabad (Telangana), India.
Manuscript received on 02 February 2026 | First Revised Manuscript received on 27 February 2026 | Second Revised Manuscript received on 10 March 2026 | Manuscript Accepted on 15 March 2026 | Manuscript published on 30 March 2026 | PP: 17-21 | Volume-16 Issue-1, March 2026 | Retrieval Number: 100.1/ijsce.A371016010326 | DOI: 10.35940/ijsce.A3710.16010326
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Generative Artificial Intelligence (Gen AI) methods raise ethical concerns. These include deepfakes, dataset bias, data privacy, copyright infringement, author replacement, and the risk of dangerous creations. Strong ethical awareness is necessary to prevent the dissemination of misinformation and to avoid plagiarizing original work. There is a need for strong detection mechanisms to ensure accountability. However, generative AI can be used for content creation ethically and responsibly. It is essential to understand the ethical implications of Gen AI to support the responsible creation of trustworthy content. Human verification, regular review, and ongoing updates of Gen AI tools are necessary. It should be essential to disclose the source and how Gen AI tools are used to create ethical content. This paper highlights the ethical implications of Gen AI and discusses issues in building AI systems for responsible, socially conscious content.
Keywords: Artificial Intelligence, Content Creation, Ethics, AI Tools, AI Models, GDPR.
Scope of the Article: Artificial Intelligence