The Effectiveness of Facial Recognition as a Tool for Criminal Investigation Within the Framework of Artificial Intelligence Technologies
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Criminal investigation, facial recognition, artificial intelligence, digital evidenceAbstract
This research aims to highlight the role of facial recognition as a modern application of artificial intelligence (AI) technologies in criminal investigations, and its impact on enhancing justice and community security. Facial recognition technology is an advanced tool that relies on AI algorithms to analyze and identify individuals through unique facial features. It has become an effective tool in detecting crimes, identifying suspects, and identifying victims.
The research examines the technical principles underlying facial recognition, such as facial biometric analysis and deep learning. It also reviews its practical uses in crime scenes, security surveillance, and airports, as well as its role in supporting digital evidence.
The research also discusses the ethical and legal challenges associated with the use of this technology, including privacy, accuracy, and the potential for algorithmic bias. It emphasizes the importance of establishing regulatory and legislative frameworks that ensure the responsible use of facial recognition technology, particularly in criminal investigations that require high levels of accuracy and reliability. The study concludes that facial recognition represents a qualitative shift in criminal investigation mechanisms, provided it is used within explicit legal controls and under institutional oversight, ensuring the protection of individual rights and freedoms on the one hand, and the achievement of justice on the other.
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القوانين والتشريعات
لا توجد قوانين أو تشريعات جديدة مضافة في القائمة الحالية، وفي حال وجودها يتم إدراجها هنا مرتبة أبجدياً.
الكتب والمؤلفات
عبد اللطيف، ب. م. ك. (2010). شرح قانون أصول المحاكمات الجزائية. دار ابن الأثير للطباعة والنشر.
عبد الدايم، ح. م. (2021). البصمة الوراثية ومدى حجيتها في الإثبات. دار الفكر الجامعي.
اليوسف، ع. م. (2012). علم البصمات وتحقيق الشخصية. دار جامعة نايف للنشر.
الرسائل الجامعية والمقالات العلمية والمصادر الإلكترونية والاتفاقيات
بستان، ك. غ. (2025). نطاق الدليل الإلكتروني في الإثبات الجنائي. مجلة كلية القانون والعلوم السياسية في الجامعة العراقية.
بدران، ع. ا. (2013). استخدام الشبكات العصبية الاصطناعية في التعرف على شخص من خلال صورة الوجه. المجلة العراقية للعلوم الإحصائية.
السيد، ي. ك. (2013). تطوير صحيفة الحالة الجنائية - دراسة مقارنة (رسالة دكتوراه). كلية الدراسات العليا، أكاديمية الشرطة.
عباس، ق. ع. (2024). حجية الدليل الإلكتروني في الإثبات الجنائي. مجلة كلية القانون والعلوم السياسية في الجامعة العراقية.
العثماني، م. خ. (2021). تقنية التعرف إلى الوجه ومكافحة الجريمة في المطارات العربية. جامعة نايف العربية للعلوم الأمنية.
محمود، ح. م. (2019). حجية الوسائل الإلكترونية في الإثبات الجنائي، بصمة الصوت والصورة. مجلة الفنون والأدب وعلوم الإنسانيات والاجتماع، كلية الإمارات للعلوم التربوية.
موقع جريدة الصباح الرسمي. (د. ت.). متاح على www.alsabaah.iq.com
موقع جريدة الوحدة الرسمي. (د. ت.). متاح على www.alwahdanews.ae.com
موقع شبكة الإعلام العراقي. (د. ت.). متاح على www.ina.iq.com
موقع نون بوست. (د. ت.). متاح على www.noonpost.com
موقع جامعة المستقبل الرسمي. (د. ت.). متاح على www.uomus.edu.iq.com
نجيب، ف. م. (2016). وصف جريمة النشل بالمؤشرات. بحوث ودراسات شرطية، مركز اتخاذ القرار.
References
Abdel-Dayem, H. M. (2021). Al-basmah al-wirathiyyah wa-mada hujjiyatiha fi al-ithbat [DNA fingerprinting and its admissibility in evidence]. Dar Al-Fikr Al-Jame'ei. [In Arabic].
Abbas, Q. A. (2024). Hujjiyat al-dalil al-iliktruni fi al-ithbat al-jina'i [The admissibility of electronic evidence in criminal proof]. Majallat Kulliyat al-Qanun wa-al-'Ulum al-Siyasiyyah fi al-Jami'ah al-'Iraqiyyah. [In Arabic].
Abdul-Latif, B. M. K. (2010). Sharh qanun usul al-muhakamat al-jaza'iyyah [Explanation of the law of criminal procedure]. Dar Ibn Al-Atheer for Printing and Publishing. [In Arabic].
Al-Othmani, M. K. (2021). Taqniyat al-ta'arruf ila al-wajh wa-mukafahat al-jarimah fi al-matarat al-'Arabiyyah [Facial recognition technology and crime fighting in Arab airports]. Naif Arab University for Security Sciences. [In Arabic].
Al-Sabah Newspaper Official Website. (n.d.). Retrieved from http://www.alsabaah.iq.com [In Arabic].
Al-Sayed, Y. K. (2013). Tatwir sahifat al-halah al-jina'iyyah: Dirasah muqaranah [Developing the criminal record: A comparative study] (Doctoral dissertation). College of Graduate Studies, Police Academy. [In Arabic].
Al-Wahda News Official Website. (n.d.). Retrieved from http://www.alwahdanews.ae.com [In Arabic].
Al-Yousef, A. M. (2012). 'Ilm al-basamat wa-tahqiq al-shakhsiyyah [Fingerprint science and character identification]. Naif Arab University for Security Sciences Publishing House. [In Arabic].
Al-Mustaqbal University Official Website. (n.d.). Retrieved from http://uomus.edu.iq.com [In Arabic].
Badran, A. I. (2013). Istikhdam al-shabakat al-'asabiyyah al-istina'iyyah fi al-ta'arruf 'ala shakhs min khilal surat al-wajh [Using artificial neural networks in face recognition from facial images]. Al-Majallah al-'Iraqiyyah lil-'Ulum al-Ihsa'iyyah. [In Arabic].
Bias in the Algorithm: Issues Raised Due to Use of Facial Recognition Technology in Policing in India. (2024). Journal of Digital Ethics, 2(1). https://doi.org/10.1177/24551333241283992
Bischoff, P. (2024). Facial Recognition Technology (FRT): Which Countries Use It? Comparitech. www.comparitech.com/blog/vpn-privacy/facial-recognition-statistics
Bostan, K. G. (2025). Nitaq al-dalil al-iliktruni fi al-ithbat al-jina'i [The scope of electronic evidence in criminal proof]. Majallat Kulliyat al-Qanun wa-al-'Ulum al-Siyasiyyah fi al-Jami'ah al-'Iraqiyyah. [In Arabic].
Burt, C. (2025). Thales Helping Iraq Build Biometric Data Center, Integrate ID and Forensic Systems. Security Today. www.securitytoday.in/thales-helping-iraq-build-biometric-data-center-integrate-id-and-forensic-systems
Caldwell, M., Andrews, J. T., Tanay, T., & Griffin, L. D. (2020). AI-enabled future crime. Crime Science, 9(1).
Custers, B. (2022). AI in Criminal Law: An overview of AI applications in substantive and procedural Criminal Law and artificial intelligence: Regulating AI and applying AI in legal practice.
Du, X., Hargreaves, C., Sheppard, J., Anda, F., Sayakkara, A., Le-Khac, N. A., & Scanlon, M. (2020, August). SoK: Exploring the state of the art and the future potential of artificial intelligence in digital forensic investigation. In Proceedings of the 15th International Conference on Availability, Reliability and Security.
Dunsin, D., Ghanem, M. C., Ouazzane, K., & Vassilev, V. (2024). A comprehensive analysis of the role of artificial intelligence and machine learning in modern digital forensics and incident response. Forensic Science International: Digital Investigation, 48, 301675.
Elkhalik, W. A. (2023). AI-Driven Smart Homes: Challenges and Opportunities. Journal of Intelligent Systems & Internet of Things, 8(2).
European Union Agency for Fundamental Rights. (2019). Facial Recognition Technology: Fundamental Rights Considerations in the Context of Law Enforcement. FRA Focus. Publications Office of the European Union. https://op.europa.eu/en/publication-detail/-/publication/95cbdd4c-3d8d-11ea-ba6e-01aa75ed71a1
Galante, N., Cotroneo, R., Furci, D., Lodetti, G., & Casali, M. B. (2023). Applications of artificial intelligence in forensic sciences: Current potential benefits, limitations and perspectives. International Journal of Legal Medicine, 137(2).
Human Rights Watch (HRW). (2020). Facial Recognition: Balancing Security and Privacy. HRW Reports.
Iraqi News Agency (INA). (n.d.). Retrieved from http://www.ina.iq.com [In Arabic].
Infinite Technology. (n.d.). Biometric Identification – Solution for Iraq’s Passport System. Retrieved July 25, 2025, from https://infinite-tek.com/Solutions/BiometricIdentification
Kerr, O. S. (2005). Searches and Seizures in a Digital World. Harvard Law Review, 119(2), 531–585.
Lubna, N. M., & Shah, S. A. A. (2021). Automatic Number Plate Recognition: A Detailed Survey of Relevant Algorithms. Sensors, 21(9), 3028. https://doi.org/10.3390/s21093028
Mahmoud, H. M. (2019). Hujjiyat al-wasa'il al-iliktruniyyah fi al-ithbat al-jina'i, basmat al-sawt wa-al-surah [The admissibility of electronic means in criminal evidence: Audio and video fingerprints]. Majallat al-Funun wa-al-Adab wa-'Ulum al-Insaniyyat wa-al-Ijtima'. [In Arabic].
Najib, F. M. (2016). Wasf jarimat al-nashl bi-al-mu'ashshirat [Describing the crime of pickpocketing through indicators]. Buhuth wa-Dirasat Shurtiyyah. [In Arabic].
NoonPost. (n.d.). Retrieved from https://www.noonpost.com [In Arabic].
Ozaki, A. (2020). Governance Framework for Facial Recognition Systems in Japan. In D. Kreps, T. Komukai, T. V. Gopal, & K. Ishii (Eds.), Human-Centric Computing in a Data-Driven Society (Vol. 590). Springer. https://doi.org/10.1007/978-3-030-62803-1_5
Parkhi, O. M., Vedaldi, A., & Zisserman, A. (2015). Deep Face Recognition. British Machine Vision Conference (BMVC). https://www.robots.ox.ac.uk/~vgg/publications/2015/Parkhi15
Qiang, X. (2019). The road to digital unfreedom: President Xi's surveillance state. Journal of Democracy, 30(1).
Robles, P., et al. (2025). Global Perspectives on Regulating Facial Recognition Technology Utilization for Criminal Justice Arrests. Global Public Policy and Governance, 5(2). Springer Nature. https://doi.org/10.1007/s43508-025-00117-9
Ross, S., Serebrennikov, D., Minaeva, E., & Netyaev, V. (2024). Surveillance Technologies in Autocratic Regimes: The Moscow AI Experiment and Its Implications for Crime Control and Police Effectiveness. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4789135
Simmler, M., & Canova, G. (2025). Facial Recognition Technology in Law Enforcement: Regulating Data Analysis of Another Kind. Computer Law & Security Review, 56, 106092. Elsevier. https://doi.org/10.1016/j.clsr.2024.106092
Wang, L. (2021). Face Recognition in Law Enforcement: A Comparative Analysis of China and the United States. Open Journal of Social Sciences, 9(10).
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