Pdf Navigating The Dual Nature Of Deepfakes Ethical Legal And

Bonisiwe Shabane

-Dec 4, 2025, 9:19 PM

pdf navigating the dual nature of deepfakes ethical legal and

Academia.edu no longer supports Internet Explorer. To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser. The rapid development of deepfake technology has opened up a range of groundbreaking opportunities while also introducing significant ethical challenges. This paper explores the complex impacts of deepfakes by drawing from fields such as computer science, ethics, media studies, and law. Through a multidisciplinary approach, we examine the technological foundations, uses, and societal effects of deepfakes. Our analysis includes case studies, expert interviews, and a thorough review of existing literature to highlight the dual nature of deepfakes-showcasing their potential benefits in entertainment and education, while also addressing the risks of...

This study emphasizes the urgent need for improved detection methods, ethical guidelines, and strong legal frameworks to address the issues created by deepfakes. It calls for enhanced digital literacy and global cooperation to ensure that the advantages of generative AI are harnessed responsibly, while its inherent risks are minimized. The findings underscore the importance of effective detection strategies, ethical considerations, and legislative reforms to ensure deepfake technology is used in ways that benefit society. Generative AI can produce content that violates copyright law and spreads misinformation. This essay raises the question of how legal frameworks and industry discussions about supervision, liability, and accountability in AI can serve as a guide in the development of responsible AI systems that manage these... What underlying challenges of generative AI suggest consideration of accountability and ethical guidance?

It explores how these questions intersect with concerns around fake news, with a focus on potentially affected stakeholders. In doing so, it needs to evaluate and connect conceptual work on the relation between control and responsibility in AI with existing technology-specific suggestions for addressing challenges of AI that create problems for others. This essay discusses the emergence of generative AI as potentially harmful AI. It focuses on two legal and social challenges that supposedly become aggravated through the exponential quality and output of generative AI rather than its outputs per se, which can often be caught with the... In the first part, the essay tries to find other theoretical and practical current developments as a guide to generate necessary ethical frameworks or guide understanding legislation. The second part links these challenges to existing scholarly debates of generative AI or AI-induced problems in general.

It ends by pointing out the role of intention and cultural norms as useful categories to socially detect and legally punish harmful behavior in the AI realm. The emergence of sophisticated enough generative AI tools is a fairly recent trend that is continuously exposing underlying intellectual property concerns. Generative AI creates, at an antithetical level, an asymmetry of content repacking by allowing experts to outwardly imitate emerging trends, but the general population, or a more timeexpensive sampling of the population through replicable... The present paper explores the relationship between deepfake and fake news through the tools of the law. The paper first introduces the conceptual basis, then presents the relationship between disinformation and deepfake, the relevant U .S ., European and alternative regulations in the context of unlawful deepfake content, and possible solutions. Particular attention is paid to the legal perception of disinformation in the context of deepfake technology, highlighting the harmful social and legal processes involved.

The structure of the study is based on a review of national and international regulations and relevant literature and the authors' proposed solutions to the controversies caused by deepfake disinformation . Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15939)) Included in the following conference series: Deepfake technology, based on artificial intelligence (AI), enables the creation of realistic images, videos, and text, bringing new possibilities and posing serious ethical, social, and legal threats. The article examines key areas in which deepfakes affect contemporary society. This technology can be used to create false materials aimed at social destabilisation and propaganda, including disinformation.

In the area of cyberbullying, deepfakes contribute to privacy violations such as pornography and blackmail. Additionally, generating false evidence can affect court decisions and facilitate financial fraud. This problem also affects the crisis of public trust, undermining the media’s credibility. The authors emphasise the need to introduce safeguards such as watermarking, public education and identification of AI-generated content. The need for international legal regulations and the development of technologies to detect deepfakes is indicated. The article considers ethical issues associated with this technology, minimising the risk of abuse and supporting innovation sustainably.

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Pdf Navigating The Dual Nature Of Deepfakes Ethical Legal And

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This Study Emphasizes The Urgent Need For Improved Detection Methods,

It Explores How These Questions Intersect With Concerns Around Fake

It Ends By Pointing Out The Role Of Intention And

The Structure Of The Study Is Based On A Review