Research Article

Towards a Policy Model for Identifying Victims of Human Trafficking through Ethical Artificial Intelligence and Big Data Analytics

Volume: 11 Number: 2 October 28, 2026
TR EN

Towards a Policy Model for Identifying Victims of Human Trafficking through Ethical Artificial Intelligence and Big Data Analytics

Abstract

Structural inefficiencies in identifying victims of human trafficking, particularly reliance on subjective human judgment and limited institutional coordination, significantly impact the effectiveness of current policies. This study adopts a qualitative document analysis approach using the Policy Process Model to assess these gaps within a national context. The examination of official data shows a significant inconsistency between the high number of potential interviews and the low number of confirmed victim diagnoses, highlighting a critical failure in traditional identification methods. In contrast, the study proposes a transition to policy development through the integration of ethical artificial intelligence and big data analytics. The findings show that AI modeling-supported analytics not only provides greater reliability and consistency in inter-institutional operations but also offers a robust framework for protecting victim rights when applied with strict ethical oversight.

Keywords

Ethical Statement

In this study, no data were collected from participants through surveys, interviews, focus groups, observations, experiments, or other qualitative research techniques. No experiments were conducted on humans or animals. The study fully complies with the Law on the Protection of Personal Data. As the corresponding author, I confirm that all co-authors have been informed regarding this declaration, and I hereby declare that this research does not require approval from an ethics committee.

References

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  3. Council of Europe. (2019). Report concerning the implementation of the Council of Europe Convention on Action against Trafficking in Human Beings by Turkey: First evaluation round (GRETA(2019)13). Secretariat of the Council of Europe Convention on Action against Trafficking in Human Beings.https://rm.coe.int/greta-2019-13-fgr-tur-en/168097f5ef
  4. Council of Europe. (2024a). Group of Experts on Action against Trafficking in Human Beings (GRETA): Country monitoring – Türkiye . Directorate General of Human Rights and Rule of Law.https://www.coe.int/en/web/anti-human-trafficking/turkiye
  5. Council of Europe. (2024b). Report concerning the implementation of the Council of Europe Convention on Action against Trafficking in Human Beings by Türkiye: Second evaluation round (GRETA(2024)13). Council of Europe.https://rm.coe.int/greta-evaluation-report-on-the-implementation-of-the-council-of-europe/1680b20b66
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  8. Derince, Z., & Özgen, B. (2015). Eylem araştırması. N. Bayyurt (Ed.), Nitel araştırma: Yöntem, teknik, analiz ve yaklaşımları içinde. Anı Yayıncılık.

Details

Primary Language

English

Subjects

Gender, Policy and Administration

Journal Section

Research Article

Publication Date

October 28, 2026

Submission Date

March 9, 2026

Acceptance Date

September 13, 2026

Published in Issue

Year 2026 Volume: 11 Number: 2

APA
Özbek, C. A. (2026). Towards a Policy Model for Identifying Victims of Human Trafficking through Ethical Artificial Intelligence and Big Data Analytics. Türk Sosyal Bilimler Araştırmaları Dergisi, 11(2), 115-129. https://izlik.org/JA62WX68BK
AMA
1.Özbek CA. Towards a Policy Model for Identifying Victims of Human Trafficking through Ethical Artificial Intelligence and Big Data Analytics. JTSSR. 2026;11(2):115-129. https://izlik.org/JA62WX68BK
Chicago
Özbek, Cuma Ali. 2026. “Towards a Policy Model for Identifying Victims of Human Trafficking through Ethical Artificial Intelligence and Big Data Analytics”. Türk Sosyal Bilimler Araştırmaları Dergisi 11 (2): 115-29. https://izlik.org/JA62WX68BK.
EndNote
Özbek CA (October 1, 2026) Towards a Policy Model for Identifying Victims of Human Trafficking through Ethical Artificial Intelligence and Big Data Analytics. Türk Sosyal Bilimler Araştırmaları Dergisi 11 2 115–129.
IEEE
[1]C. A. Özbek, “Towards a Policy Model for Identifying Victims of Human Trafficking through Ethical Artificial Intelligence and Big Data Analytics”, JTSSR, vol. 11, no. 2, pp. 115–129, Oct. 2026, [Online]. Available: https://izlik.org/JA62WX68BK
ISNAD
Özbek, Cuma Ali. “Towards a Policy Model for Identifying Victims of Human Trafficking through Ethical Artificial Intelligence and Big Data Analytics”. Türk Sosyal Bilimler Araştırmaları Dergisi 11/2 (October 1, 2026): 115-129. https://izlik.org/JA62WX68BK.
JAMA
1.Özbek CA. Towards a Policy Model for Identifying Victims of Human Trafficking through Ethical Artificial Intelligence and Big Data Analytics. JTSSR. 2026;11:115–129.
MLA
Özbek, Cuma Ali. “Towards a Policy Model for Identifying Victims of Human Trafficking through Ethical Artificial Intelligence and Big Data Analytics”. Türk Sosyal Bilimler Araştırmaları Dergisi, vol. 11, no. 2, Oct. 2026, pp. 115-29, https://izlik.org/JA62WX68BK.
Vancouver
1.Cuma Ali Özbek. Towards a Policy Model for Identifying Victims of Human Trafficking through Ethical Artificial Intelligence and Big Data Analytics. JTSSR [Internet]. 2026 Oct. 1;11(2):115-29. Available from: https://izlik.org/JA62WX68BK

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