Download PDFOpen PDF in browser

Striking a Delicate Balance: Navigating the Intersection of AI and Privacy in Law Enforcement for Enhanced Security

EasyChair Preprint no. 11960

11 pagesDate: February 5, 2024


This paper critically examines the dynamic interplay between artificial intelligence (AI) and privacy in the context of law enforcement, seeking to navigate the intricate balance required to fortify security while safeguarding individual privacy rights. Through an in-depth analysis of current AI applications in policing, the study investigates ethical considerations, potential biases, and legal ramifications. It explores the ethical dimensions of deploying AI tools in surveillance and predictive policing, highlighting the need for transparent and accountable frameworks. The paper also addresses concerns related to bias mitigation, emphasizing the importance of fairness in algorithmic decision-making. Legal implications are scrutinized to understand the evolving landscape and challenges posed by AI in law enforcement, offering insights into the development of robust regulatory frameworks. By synthesizing these dimensions, the paper presents recommendations for policymakers and practitioners to navigate the intricate terrain of AI integration in law enforcement responsibly. Ultimately, this research contributes to the ongoing discourse on technology ethics, advocating for a thoughtful and balanced approach that optimizes security measures while respecting the fundamental right to privacy in an era of rapid technological advancement.

Keyphrases: AI in Law Enforcement, Balancing Rights, bias mitigation, ethical concerns, implications, legal, predictive policing, Privacy, Security, surveillance, Technology Ethic

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Asad Ali and Unthaw Owners},
  title = {Striking a Delicate Balance: Navigating the Intersection of AI and Privacy in Law Enforcement for Enhanced Security},
  howpublished = {EasyChair Preprint no. 11960},

  year = {EasyChair, 2024}}
Download PDFOpen PDF in browser