Digital Identity Scams and Super Changing Trusted Global Facial Recognition System: Privacy Security and Legal Safeguards in the Metaverse for Datafication and Social Justice


  • Prof. (Dr.) Bhupinder Singh Professor, School of Law, Sharda University, Greater Noida, Uttar Pradesh, India


Digital Identity Scams, Datafication, Privacy-Security Issues, Metaverse, Legal Dynamics


The rapid advancement of digital technologies has led to the proliferation of digital identity scams and the emergence of sophisticated facial recognition systems in the metaverse. In the modern landscape where digital interactions and virtual realities intertwine, the rise of digital identity scams poses formidable challenges, undermining individual security and trust. Concurrently, the advancement of facial recognition technology ushers in transformative opportunities and ethical dilemmas, necessitating a comprehensive analysis of its implications. Through a multidisciplinary approach, this paper examines the multifaceted dimensions of digital identity scams and the paradigm shift in facial recognition systems. It scrutinizes the mechanisms driving digital identity scams, encompassing phishing, identity theft, and account takeovers while probing the socio-economic consequences of these breaches. Simultaneously, it explores the superlative transformation of facial recognition, investigating its accuracy, biases, and ethical considerations, particularly in the context of the metaverse. In the metaverse, where datafication and virtual existence intertwine, privacy becomes paramount. This paper highlights the potential invasion of privacy and the heightened surveillance associated with facial recognition deployment, underscoring the need for robust legal safeguards. It evaluates global privacy regulations and proposes strategies to align legal frameworks with technological advancements, emphasizing the significance of informed consent, data ownership, and biometric data protection. This study embraces the principles of social justice, illuminating the potential exacerbation of disparities in access and representation within the metaverse. It addresses the amplification of biases, discriminatory practices, and the broader societal impact of unchecked facial recognition systems, accentuating the importance of equitable technological development. This research paper aims to explore the multifaceted challenges posed by digital identity scams and the implementation of trusted facial recognition systems, focusing on privacy, security, and legal safeguards. By analyzing the implications of these technologies, the paper also investigates their impact on datafication and social justice. The study employs a multidisciplinary approach, incorporating insights from technology, law, ethics, and social sciences to provide a comprehensive understanding of the complex landscape surrounding these issues.