aceEthical 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 various disciplines…
Generative AI systems create risks of privacy loss, copyright infringement, misinformation, bias, and deepfake synthetic media that threaten truth, trust, and democratic values.
Evidence
- Peer-reviewedFrontiers in Artificial Intelligence2025-07-31
- Peer-reviewedJournal of Literature and Linguistics Studies2025-06-08
- Peer-reviewedInformatics2024-08-09
- Peer-reviewedDigital Society2025-01-16
- Peer-reviewedINTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT2025-11-13
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Truvace Impact Record TRV-2026-0369, v5: “Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective.” Truvace, 2026-09-26. /record/TRV-2026-0369 (accessed at citation time). sha256 059abb4250cb6dcc…
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