Trust in Biometric-Based Governance: Can AI Enhance Public Confidence in Law Enforcement?

• In Event: Technology, Surveillance, and Perceived Security

Abstract

With the integration of AI and biometric models for governance, law enforcement has witnessed a drastic leap in recent years. As quick, and efficient the enforcement has become, it has put the governing agencies in the dilemma of addressing the concerns about public privacy, transparency, and bias. While enhanced accuracy is achieved with facial recognition, fingerprint identification, Aadhar-based recognition systems, and other behavioral biometrics, it raises ethical and legal questions which in turn impact trust and safety in the public domain. This study intends to explore the reliability and extent of AI-based biometrics in enhancing public confidence in law enforcement. Major stakeholders are taken into consideration for surveys, interviews, and case studies available in public domain have been reviewed to establish the findings of the research. The prime focus is to establish and understand the role of ethical AI frameworks and mechanisms to balance the need to secure the legal system with civil liberties. The importance of public awareness campaigns, clarity in legal structures, and interdisciplinary collaborations are suggested to increase the democratic value of biometric governance. The research presents recommendations for reasonable deployment of AI, embedding a more human-centric and transparent model to make biometric systems more accountable.

Authors

• Astha Sachdeva, Galgotia University

• Pooja Kataria, Galgotia University