AI IN PHOTOJOURNALISM ETHICS AND MANAGEMENT
DOI:
https://doi.org/10.29121/shodhkosh.v6.i3s.2025.6767Keywords:
Artificial Intelligence, Photojournalism Ethics, Deepfake Detection, Editorial Oversight, Generative Diffusion Models, Explainable AI, Ethical GovernanceAbstract [English]
The present paper is a critical discussion of the issue of Artificial Intelligence (AI) in relation to Photojournalism Ethics and Management, it is a discussion how visual journalism is being transformed as a result of automation, data analytics and algorithmic decision making. It examines the role of AI in changing the image-making, image-checking, and image-editing process and posing a threat to undermine traditional conceptions of authenticity, responsibility, and truth. The study considers the paradigm change of the photojournalism into the digital context and application of the AI-assisted technology, indicating the ethical concerns that emerge as a result of the synthetic imagery, data attitude, and algorithmic distortion. The paper uncovers the efficiency gains and moral hazards of the AI-powered processes, emphasizing the details of the analysis of the AI technologies, i.e. convolutional neural networks, deepfake detection, automated captioning, and blockchain-based provenance. As an evaluative examination of the ethical strategies in the world, including the one that the Society of Professional Journalists (SPJ), the National Press Photographers Association (NPPA) and UNESCO follow, it is apparent that there is an immediate need to modify professional codes to the world of the algorithms. The case studies of the Reuters, Associated Press (AP) and BBC are feasible illustrations of the accountable implementation of AI depending on human authority, editorial duty, and openness of automated processes. The Ethical Governance Model of AI in Photojournalism described in the paper ought to be anchored on three pillars, namely transparency, accountability, and oversight. The model outlines the provenance tracking systems, the algorithmic audit, and the interdisciplinary ethics boards and AI literacy program of the media organizations. The generative diffusion models, multimodal AI, and Explainable AI are the discussed future trends that are likely to cause more changes to the ethical and education context of journalism.
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Copyright (c) 2025 Vijay Kumar, Ms. Anila Jayapaul, Tarang Bhatnagar, Priyanshi Mathur, Ashmeet Kaur, Vasanth Kumar Vadivelu
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