A STUDY ON AI DETECTION IN DEEPFAKE - INDUCED FRAUD AND THE PROSPECTIVE EVOLUTION OF BHARATIYA NYAYA SANHITA,2023

Deepfake technology leveraging advanced artificial intelligence (AI), has emerged as a significant threat, facilitating fraud and misinformation. With the increasing sophistication of Deepfakes, there is an urgent need to develop robust detection mechanisms and adapt legal frameworks to combat these threats effectively. This study aims to explore the effectiveness of AI detection methods in combating deepfake-induced fraud and examines the prospective evolution of the Bharatiya Nyaya Sanhita (BNS) to address these challenges. The objective is to provide a comprehensive approach to reducing deepfake-induced fraud and enhancing legal measures to combat such crimes effectively. The research employs an empirical method, analysing data from 205 samples. The study suggests several amendments to the BNS, including clear definitions of deepfake offences, criminalization of malicious deepfake activities, and stringent regulations for AI and digital platforms. Establishing specialised cybercrime units, protecting victims' rights, fostering international collaboration, and promoting technological innovation are identified as crucial steps. Educating the public on legal implications and incorporating digital literacy into educational curricula can further mitigate risks. Periodic review and updates of legal provisions will ensure the BNS remains adaptive to technological advancements. This study provides a comprehensive framework for addressing deepfake-induced fraud and suggests significant enhancements to the BNS to effectively combat such crimes.