The Legal Semiotics of Facial Recognition Technology

This chapter develops a comparative and semiotic analysis of the legal regulation of facial recognition technology (FRT), arguing that legal frameworks cannot be understood as merely technical responses to technological innovation but as normative crystallizations of deeper social narratives about the face, security, authority, as well as legitimacy. Instead of offering an exhaustive country-by-country survey, the chapter deploys a typological grammar of four dominant regulatory models: comprehensive data-protection regimes that identify facial recognition as sensitive biometric processing; AI- or biometrics-specific frameworks that limit or prohibit certain uses; policing-centered regimes articulated primarily by case law and regulatory guidance; and fragmented, subnational configurations typical of federal systems. Through in-depth examination of exemplary jurisdictions—including China, the European Union, the United Kingdom, the United States, Canada, and India—the analysis points out how similar technical problems generate divergent legal solutions based on distinct semiotic ideologies of the face. Drawing on Greimasian narrativity theory, the chapter deciphers these legal arrangements as actantial distributions that attribute variable roles to subjects, law enforcement, and technology along a spectrum from adjuvant to opponent. The chapter concludes that no “perfect” legal framework is extant; instead, facial recognition law emerges as a continuously reformulated alignment between cultural sensitivities, technological affordances, and the ethical status of the face as both a locus of human dignity and a historically contingent nexus subject to governance and change.