Artificial Intelligence in Law Enforcement, A Review

Alzou'bi, Suhaib; Alshibl, Haitham; Al-Ma’aitah, Mohammad

doi:10.5121/ijait.2014.4401

Cited by 10 publications

(4 citation statements)

References 20 publications

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“…At first, the police used AI for knowledge management purposes (Alzou'bi et al, 2014;Vestby & Vestby, 2019). Today, AI is crucial to many police forces in performing order maintenance, criminal investigations and crime prevention through systems like PredPol, Valcri or Palantir.…”

Section: Two Emergent Police Applicationsmentioning

confidence: 99%

AI, Trustworthiness, and the Digital Dirty Harry Problem

Paulsen¹

2022

NJSP

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Artificial Intelligence (AI) has been a game changer on many fronts. For the police it offers new ways of carrying out investigation, surveillance, crime prevention and order maintenance. Questions have been raised about the trustworthiness of some innovative AI-driven applications. Under which circumstances and to what extent should the police be permitted to use emergent technology, i.e. use 'dirty' means in order to reach good ends? In this article, this problem is illustrated by a discussion of two emergent technologies, and possible criteria and test regimes for establishing trustworthiness are suggested towards the end of the article.

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Section: Two Emergent Police Applicationsmentioning

confidence: 99%

AI, Trustworthiness, and the Digital Dirty Harry Problem

Paulsen¹

2022

NJSP

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“…This can be done through pattern analysis, sensor feeds, and databases of records. More so, AI possibly helps law enforcement determine many critical places, locate key linkages between and among suspects, and search other acumens concealed in a sea of data (Alzou'bi et al, 2014;Joh, 2018).…”

Section: Introductionmentioning

confidence: 99%

Public safety training and education in the context of fourth industrial revolution: Dimensions of global knowledge enterprise

Romualdo,

Arroyo

2023

IJPO

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In the landscape of the Fourth Industrial Revolution (4IR), the integration of its transformative elements into educational frameworks has become crucial, and the National Police College stands at the forefront of this endeavor. This study centers on public safety training and education within the context of the global knowledge enterprise. With a commitment to advancing human capital and leadership in the face of a VUCA world, the college has strategically incorporated 4IR principles across its curriculum, faculty, pedagogy, learning outcomes, and instructional delivery. Employing a quantitative research design, this study engages in the systematic collection and generalization of numerical data to elucidate the nuances of this phenomenon. Through rigorous analysis utilizing Exploratory Factor Analysis, the extracted factors yield significant insights. The exceptional Kaiser-Meyer-Olkin (KMO) test result of 0.921 and the Bartlett's test result of .000 (< 0.05) validate the robustness of the dataset. The application of Principal Component Analysis for extraction and Varimax with Kaiser Normalization for rotation reveals three distinct dimensions or factors—strategic management, inclusive curriculum design, and collaborative learning environment—that underpin the college's effective public safety training and education. As the institution aligns its strategies with the ever-evolving demands of the 4IR, this research offers a comprehensive understanding of how to equip public safety officers with the skills and knowledge needed to navigate the challenges of a VUCA world while embracing the opportunities of the global knowledge enterprise.

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“…CV HF MV RLVS RWF-2K UCFS XD-V Params # ViF [143] 81. 3 Most datasets already have pre-defined data splits for training and testing, with 80% and 20% of the data respectively. I used these splits without modification for unbiased comparison.…”

Section: Methodsmentioning

confidence: 99%

“…The National Intelligence Model consists of nine individual elements, each of which plays a critical role in improving the efficiency and effectiveness of law enforcement activities [3].…”

Section: Artificial Intelligence and Security Related Applicationsmentioning

confidence: 99%

Possibilities and challenges of the defensive use of artificial intelligence and computer vision based technologies and applications in the defence sector

Huszár

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I am thankful to all those who have supported me on my journey to write my doctoral dissertation. I would especially like to thank my supervisors, Dr. Imre Négyesi and Dr. Csaba Krasznay for their trust in me and all the contribution they have made to this paper. Their valuable comments and continuous support and understanding mean a lot to me.I would also like to thank Professor Zsolt Haig and Professor Zoltán Szenes for all their professional encouragement and feedback, as my research journey started a decade ago with my master's studies, and they treated me as professors should treat the odd ones like myself: they never gave up on me. Thank you for all your unforgettable and interesting lectures.I would like to thank the Director of the Doctoral School of Military Engineering, Professor József Padányi. We had beautiful arguments and his true contribution was guiding me to be a team player with my supervisors. I hope he will be proud of me and the way I represented the Doctoral School. I would like to thank all members of the Doctoral School for their help and support throughout these amazing years of study. I would like to also thank my colleagues, especially Szilvia Blascsák, as her contributions and constant pushing meant a lot to end up writing this paper, her detailed professionalism is highly appreciated.Last but not least, I would like to thank my family, my wife Enikő Huszár, my three wonderful children, and my friends as well for their patience, for their motivation, and for their unconditional caring support in achieving the scientific goal of my life.

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Artificial Intelligence in Law Enforcement, A Review

Abstract: ABSTRACT

Cited by 10 publications

References 20 publications

AI, Trustworthiness, and the Digital Dirty Harry Problem

AI, Trustworthiness, and the Digital Dirty Harry Problem

Public safety training and education in the context of fourth industrial revolution: Dimensions of global knowledge enterprise

Possibilities and challenges of the defensive use of artificial intelligence and computer vision based technologies and applications in the defence sector

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