Abstract
In the era of advanced technology, deepfakes have emerged as a significant ethical and legal concern, posing threats to individuals, societies, and democratic processes. This paper delves into the multifaceted challenges posed by deepfakes, emphasizing their potential to mislead, manipulate, and disrupt various domains, including politics, national security, and public discourse. The study highlights the complexity of detecting deepfakes, which are highly convincing video and audio forgeries created by artificial intelligence programs. These forgeries, often indistinguishable from authentic recordings, raise concerns about their impact on public opinion, elections, and national security. The paper discusses the potential consequences of deepfakes, including the erosion of trust in institutions, financial fraud, election interference, and national security threats. Addressing these challenges requires a multi-faceted approach, including technological solutions, responsible AI development, legislation, international cooperation, and societal awareness. Efforts to combat deepfakes involve the development of detection tools, ethical AI practices, legal regulations, and global collaboration to share information and best practices. Moreover, promoting media literacy and critical thinking among the public is crucial in mitigating the negative impacts of deepfakes and preserving the integrity of democratic processes.
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Kopecky, S. (2024). Challenges of Deepfakes. In: Arai, K. (eds) Intelligent Computing. SAI 2024. Lecture Notes in Networks and Systems, vol 1016. Springer, Cham. https://doi.org/10.1007/978-3-031-62281-6_11
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DOI: https://doi.org/10.1007/978-3-031-62281-6_11
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