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Navigating Ethical Dilemmas in Generative AI: Case Studies and Insights

Navigating Ethical Dilemmas in Generative AI: Case Studies and Insights
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Author(s): Bodhibrata Nag (Indian Institute of Management, Calcutta, India)
Copyright: 2025
Pages: 34
Source title: Responsible Implementations of Generative AI for Multidisciplinary Use
Source Author(s)/Editor(s): Loveleen Gaur (University of South Pacific, Fiji & Taylor's University, Malaysia)
DOI: 10.4018/979-8-3693-9173-0.ch007

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Abstract

Generative AI, based on neural networks, is transforming the creation of content like text, images, music, and interactive digital experiences. However, it raises ethical and practical questions about the authenticity of AI-generated works, intellectual property rights, and the role of creators. AI is also transforming journalism by integrating algorithms and automation, but raises ethical concerns about potential biases and transparency. To address these issues, the sector should set clear standards, promote diversity, and encourage cooperation among technologists, artists, ethicists, and policymakers.

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