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
Authors
- Loshima Lohi
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