Deep fakes exploit biometric data, necessitating multitiered regulatory responses integrating technology, governance, and privacy laws to protect individual rights.
Authors
Sanya Darakhshan Kishwar, Assistant Professor, Jindal Global Law School, O.P. Jindal Global University, Sonipat, Haryana, India
Anjali Tripathi, Jindal Global Law School, O.P. Jindal Global University, Haryana, Sonipat, India
Sadqua Khatoon, Aligarh Muslim University, Uttar Pradesh, Aligarh, 202001, India
Deepali Poddar, Jindal Global Law School, O.P. Jindal Global University, Haryana, Sonipat, India
Bharat Khurana, Delhi High Court, J65P+8HF, Bapa Nagar, India Gate, Delhi, New Delhi, 110003, India
Summary
Deep fake technology presents a profound challenge to data protection, privacy and regulatory frameworks worldwide. By exploiting biometric data without consent, deep fakes pose severe threats to privacy frameworks such as the European Union’s (EU) General Data Protection Regulation (GDPR) and India’s Digital Personal Data Protection Act 2023 (DPDPA). The ability to manipulate digital content using artificial intelligence (AI) raises concerns over identity theft, misinformation and biometric data security. This paper examines regulatory gaps, emerging AI-driven detection strategies and the need for privacy-preserving technological solutions. Through a comparative legal analysis, we identify gaps in existing regulations and propose a privacy-centric framework for mitigating deep fake risks. We further examine AI-driven solutions for authentication and policy interventions necessary for global regulatory alignment. Our findings suggest a multitiered regulatory response integrating technology, governance and privacy laws to counter deep fake threats while protecting individual rights.
Published in: Journal of Data Protection and Privacy
To read the full article, please click here.
