A survey of Emotional Artificial Intelligence and crimes: detection, prediction, challenges and future direction

Tala Talaei Khoei () and Aditi Singh
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Tala Talaei Khoei: Roux Institute Northeastern University
Aditi Singh: Cleveland State University

Journal of Computational Social Science, 2024, vol. 7, issue 3, No 6, 2359-2402

Abstract: Abstract Emotional Artificial Intelligence (Emotional AI), with its advanced capability to detect, analyze, and interpret human emotions, presents a groundbreaking opportunity for enhancing various aspects of policing and criminology. This paper delves into the integration of Emotional AI in these fields, highlighting its potential to revolutionize crime detection, prevention, and the improvement of interactions within the criminal justice system. By categorizing the applications of Emotional AI, from predictive policing to emotional assessments during interrogations, the paper explores how this technology can offer novel insights into criminal behavior and support mental health initiatives. Additionally, it addresses the ethical considerations associated with Emotional AI's deployment, such as privacy, bias, and the accuracy of emotion interpretation. The survey synthesizes current challenges and proposes future research directions, aiming to guide the responsible integration of Emotional AI technologies in law enforcement practices. The paper emphasizes the need for a balanced approach that respects individual rights while harnessing Emotional AI's benefits for justice and public safety.

Keywords: Artificial Intelligence; Biometrics; Crime; Detection; Emotions; Facial recognition; Prediction; Policing (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s42001-024-00313-3

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