Synthetically Generated Media and AI Ethics: A Machine Learning Perspective on Deepfake Generation and Mitigation

Abstract The advent of deepfakes technology, powered by advanced artificial intelligence (AI), has brought both remarkable opportunities and profound ethical challenges. While it showcases the potential for creative and entertainment applications, deepfakes have raised serious concerns regarding misinformation, privacy, and the erosion of trust in digital media. This paper examines the intersection of deepfake technology and AI ethics, focusing on its implications in various sectors, including media, politics, and social justice. It evaluates the ethical considerations surrounding the misuse of deepfakes and suggests potential regulatory frameworks and responsible AI practices to mitigate harm. Keywords: AI, ethics, information

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Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2025-10-15
DOI
https://doi.org/10.55041/isjem05110
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Synthetically Generated Media and AI Ethics: A Machine Learning Perspective on Deepfake Generation and Mitigation

Loshima Lohi
International Scientific Journal of Engineering and Management
Adversarial Robustness in Machine Learning
article

Synthetically Generated Media and AI Ethics: A Machine Learning Perspective on Deepfake Generation and Mitigation

Loshima Lohi
article en

Abstract

Abstract The advent of deepfakes technology, powered by advanced artificial intelligence (AI), has brought both remarkable opportunities and profound ethical challenges. While it showcases the potential for creative and entertainment applications, deepfakes have raised serious concerns regarding misinformation, privacy, and the erosion of trust in digital media. This paper examines the intersection of deepfake technology and AI ethics, focusing on its implications in various sectors, including media, politics, and social justice. It evaluates the ethical considerations surrounding the misuse of deepfakes and suggests potential regulatory frameworks and responsible AI practices to mitigate harm. Keywords: AI, ethics, information

International Scientific Journal of Engineering and ManagementVol. 04(10)
Openalex Percentile: Top 85%
Adversarial Robustness in Machine Learning
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