Confronting Legal Hurdles in the Battle against AI-Driven Deepfake Misinformation

Authors

  • Sudeepta Banerjee Assistant Professor, School of Business MIT World Peace University, Pune
  • Sunita Kharate Assistant Professor, MIMA Institute of Management Pune, India
  • Geetika Parmar Assistant Professor, School of Business MIT World Peace University, Pune

Keywords:

Artificial Intelligence, Deep Learning, Deepfake, AI, AI Threats, Deepfake Threats, Legislation, Combating deepfake, synthetic media, misinformation, privacy law, defamation law

Abstract

The rise of deepfake technology poses significant threats to politics, business, and the judicial system, casting doubt on their integrity. This study delves into the complexities and hazards of deepfakes, which range from political manipulation to corporate sabotage. It explores various detection strategies to uncover these misleading digital creations. However, current legal frameworks appear inadequate in addressing the challenges posed by deepfakes. The paper critically examines the effectiveness of existing legal systems and highlights their shortcomings in confronting this growing threat. It raises the pressing question: What more can be done? As technology advances rapidly, the paper argues for a synergistic approach that combines legal and technological solutions to enhance our defenses. This research is not merely a critique but a call to action. It emphasizes the need for a proactive and adaptive strategy to safeguard our interconnected society. The paper advocates for collaborative efforts to strengthen our collective defense against the rising dangers of deepfake technology. It serves as a stark reminder of the urgency to act and protect the core of our civilization.

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Published

2024-09-23

How to Cite

Sudeepta Banerjee, Sunita Kharate, & Geetika Parmar. (2024). Confronting Legal Hurdles in the Battle against AI-Driven Deepfake Misinformation. Journal of Computational Analysis and Applications (JoCAAA), 33(4), 265–271. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/686

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