Browsing by Author "Alanazi, Sami"
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Item Open Access Examining the societal impact and legislative requirements of deepfake technology: a comprehensive study(EJournal Publishing, 2024-03-29) Alanazi, Sami; Asif, Seemal; Moulitsas, IreneDeepfakes, highly realistic fabricated videos, images, or audios created using artificial intelligence algorithms, have gained widespread attention and raised concerns about their social impact and ethical implications. While initially seen as a source of entertainment and utilized in commercial applications, deepfake technology has increasingly been misused for creating adult content, blackmailing individuals, spreading misinformation, and manipulating memories. The negative consequences of deepfakes extend beyond individuals, impacting society as a whole, particularly during sensitive times like elections, where trust can be undermined. The paper looks at the social implications and legislative considerations for deepfakes content, with the goal of cultivating a thorough understanding of their impact on society. By highlighting the importance of enacting laws and regulations, the paper emphasizes the pressing need to control their widespread dissemination. Deepfakes have broad societal implications, especially during critical events like elections, eroding trust. This survey delves into deepfake complexities, aiming to foster understanding and emphasizing the urgency of regulation. The paper also discusses the positive outcomes of deepfake technology for intellectual property protection, highlighting the FORGE system developed to trick attackers who steal company documents. However, it emphasizes the risks posed by easily accessible websites that facilitate the creation of fake identification documents, increasing the likelihood of identity theft, criminal activities, and fraudulent transactions. Implementing restrictions on the use of deepfake technology involving children is also crucial to prevent harm and manipulation targeting minors.Item Open Access Understanding deepfakes: a comprehensive analysis of creation, generation, and detection(AHFE International, 2023-07-24) Alanazi, Sami; Asif, SeemalThis paper provides a comprehensive analysis of deepfakes, focusing on their creation, generation, and detection. Deepfakes are realistic fabricated videos, images, or audios generated using artificial intelligence algorithms. While initially seen as a source of entertainment and commercial applications, the negative social consequences of deepfakes have become apparent. They are misused for creating adult content, blackmailing individuals, and spreading misinformation, leading to a decline in trust and potential societal implications. The paper also discusses the importance of legislation in regulating the use of deepfakes and explores techniques for their detection, including machine learning and natural language processing. Understanding deepfakes is essential to address their ethical and legal implications in today's digital landscape.