Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective
This paper conducts a systematic review and interdisciplinary analysis of the ethical challenges of generative AI technologies (N = 37), highlighting significant concerns such as privacy, data protection, copyright infringement, misinformation, biases, and societal inequalities. The ability of generative AI to produce convincing deepfakes and synthetic media, which threaten the foundations of truth, trust, and democratic values, exacerbates these problems. The paper combines perspectives from va
Record details
Published: 9 August 2024
Source: OpenAlex
Category: Research
Topics: Privacy · Misinformation · Copyright & IP
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (9 August 2024), “Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective,” evidence record 9540, https://ethics.ai/record/9540 (originally published by OpenAlex).
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