Compliance for Cross-Border AI Projects: Managing Personal Data Transfers from the Perspective of Turkish Law

Çiçek Ersoy; Nihat Zincirlioğlu

doi:10.1007/978-3-032-22784-3_19

Compliance for Cross-Border AI Projects: Managing Personal Data Transfers from the Perspective of Turkish Law

Çiçek Ersoy^*
, Nihat Zincirlioğlu

^*Bu çalışma için yazışmadan sorumlu yazar

İşletme Mühendisliği Bölümü

Samsung Production

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakemli

Özet

This paper examines compliance in cross-border AI projects, with a focus on personal data transfers under Turkish law. As AI technologies advance, the need for robust frameworks to safeguard personal data during international transfers increases. The Turkish Personal Data Protection Act enforces strict rules for transferring personal data outside Turkey, aiming to uphold privacy rights. The paper examines legal tools, including criteria for adequate protection, as well as contractual safeguards such as binding corporate rules and standard contractual clauses. By providing an overview of these legal frameworks, the paper helps organizations understand how to effectively comply with Turkish regulations in cross-border AI efforts, with a focus on standard contractual clauses. The paper emphasizes the importance of proactive compliance in fostering responsible AI development and safeguarding personal data rights.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	AI-Driven Production with Green Sustainability - Selected Papers from ISPR2025
Editörler	Numan M. Durakbasa, Hatice Camgöz Akdag, Kemal Güven Gülen
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	207-214
Sayfa sayısı	8
ISBN (Basılı)	9783032227836
DOI'lar	https://doi.org/10.1007/978-3-032-22784-3_19
Yayın durumu	Yayınlandı - 2026
Etkinlik	International Symposium for Production Research, ISPR 2025 - Istanbul, Türkiye Süre: 9 Eki 2025 → 11 Eki 2025

Yayın serisi

Adı	Lecture Notes in Mechanical Engineering
ISSN (Basılı)	2195-4356
ISSN (Elektronik)	2195-4364

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Symposium for Production Research, ISPR 2025
Ülke/Bölge	Türkiye
Şehir	Istanbul
Periyot	9/10/25 → 11/10/25

Bibliyografik not

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Belgeye Erişim

10.1007/978-3-032-22784-3_19

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ersoy, Ç., & Zincirlioğlu, N. (2026). Compliance for Cross-Border AI Projects: Managing Personal Data Transfers from the Perspective of Turkish Law. In N. M. Durakbasa, H. C. Akdag, & K. G. Gülen (Eds.), AI-Driven Production with Green Sustainability - Selected Papers from ISPR2025 (pp. 207-214). (Lecture Notes in Mechanical Engineering). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-22784-3_19

Ersoy, Çiçek ; Zincirlioğlu, Nihat. / Compliance for Cross-Border AI Projects : Managing Personal Data Transfers from the Perspective of Turkish Law. AI-Driven Production with Green Sustainability - Selected Papers from ISPR2025. editör / Numan M. Durakbasa ; Hatice Camgöz Akdag ; Kemal Güven Gülen. Springer Science and Business Media Deutschland GmbH, 2026. pp. 207-214 (Lecture Notes in Mechanical Engineering).

@inproceedings{63314abddce34107b5bca86ac2bd1a60,

title = "Compliance for Cross-Border AI Projects: Managing Personal Data Transfers from the Perspective of Turkish Law",

abstract = "This paper examines compliance in cross-border AI projects, with a focus on personal data transfers under Turkish law. As AI technologies advance, the need for robust frameworks to safeguard personal data during international transfers increases. The Turkish Personal Data Protection Act enforces strict rules for transferring personal data outside Turkey, aiming to uphold privacy rights. The paper examines legal tools, including criteria for adequate protection, as well as contractual safeguards such as binding corporate rules and standard contractual clauses. By providing an overview of these legal frameworks, the paper helps organizations understand how to effectively comply with Turkish regulations in cross-border AI efforts, with a focus on standard contractual clauses. The paper emphasizes the importance of proactive compliance in fostering responsible AI development and safeguarding personal data rights.",

keywords = "AI, Data Flow, Personal Data, Privacy, Turkish Law",

author = "{\c C}i{\c c}ek Ersoy and Nihat Zincirlioğlu",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; International Symposium for Production Research, ISPR 2025 ; Conference date: 09-10-2025 Through 11-10-2025",

year = "2026",

doi = "10.1007/978-3-032-22784-3\_19",

language = "English",

isbn = "9783032227836",

series = "Lecture Notes in Mechanical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "207--214",

editor = "Durakbasa, \{Numan M.\} and Akdag, \{Hatice Camg{\"o}z\} and G{\"u}len, \{Kemal G{\"u}ven\}",

booktitle = "AI-Driven Production with Green Sustainability - Selected Papers from ISPR2025",

address = "Germany",

}

Ersoy, Ç & Zincirlioğlu, N 2026, Compliance for Cross-Border AI Projects: Managing Personal Data Transfers from the Perspective of Turkish Law. in NM Durakbasa, HC Akdag & KG Gülen (eds), AI-Driven Production with Green Sustainability - Selected Papers from ISPR2025. Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH, pp. 207-214, International Symposium for Production Research, ISPR 2025, Istanbul, Türkiye, 9/10/25. https://doi.org/10.1007/978-3-032-22784-3_19

Compliance for Cross-Border AI Projects: Managing Personal Data Transfers from the Perspective of Turkish Law. / Ersoy, Çiçek; Zincirlioğlu, Nihat.
AI-Driven Production with Green Sustainability - Selected Papers from ISPR2025. ed. / Numan M. Durakbasa; Hatice Camgöz Akdag; Kemal Güven Gülen. Springer Science and Business Media Deutschland GmbH, 2026. p. 207-214 (Lecture Notes in Mechanical Engineering).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakemli

TY - GEN

T1 - Compliance for Cross-Border AI Projects

T2 - International Symposium for Production Research, ISPR 2025

AU - Ersoy, Çiçek

AU - Zincirlioğlu, Nihat

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - This paper examines compliance in cross-border AI projects, with a focus on personal data transfers under Turkish law. As AI technologies advance, the need for robust frameworks to safeguard personal data during international transfers increases. The Turkish Personal Data Protection Act enforces strict rules for transferring personal data outside Turkey, aiming to uphold privacy rights. The paper examines legal tools, including criteria for adequate protection, as well as contractual safeguards such as binding corporate rules and standard contractual clauses. By providing an overview of these legal frameworks, the paper helps organizations understand how to effectively comply with Turkish regulations in cross-border AI efforts, with a focus on standard contractual clauses. The paper emphasizes the importance of proactive compliance in fostering responsible AI development and safeguarding personal data rights.

AB - This paper examines compliance in cross-border AI projects, with a focus on personal data transfers under Turkish law. As AI technologies advance, the need for robust frameworks to safeguard personal data during international transfers increases. The Turkish Personal Data Protection Act enforces strict rules for transferring personal data outside Turkey, aiming to uphold privacy rights. The paper examines legal tools, including criteria for adequate protection, as well as contractual safeguards such as binding corporate rules and standard contractual clauses. By providing an overview of these legal frameworks, the paper helps organizations understand how to effectively comply with Turkish regulations in cross-border AI efforts, with a focus on standard contractual clauses. The paper emphasizes the importance of proactive compliance in fostering responsible AI development and safeguarding personal data rights.

KW - AI

KW - Data Flow

KW - Personal Data

KW - Privacy

KW - Turkish Law

UR - https://www.scopus.com/pages/publications/105046865357

U2 - 10.1007/978-3-032-22784-3_19

DO - 10.1007/978-3-032-22784-3_19

M3 - Conference contribution

AN - SCOPUS:105046865357

SN - 9783032227836

T3 - Lecture Notes in Mechanical Engineering

SP - 207

EP - 214

BT - AI-Driven Production with Green Sustainability - Selected Papers from ISPR2025

A2 - Durakbasa, Numan M.

A2 - Akdag, Hatice Camgöz

A2 - Gülen, Kemal Güven

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 9 October 2025 through 11 October 2025

ER -

Ersoy Ç, Zincirlioğlu N. Compliance for Cross-Border AI Projects: Managing Personal Data Transfers from the Perspective of Turkish Law. In Durakbasa NM, Akdag HC, Gülen KG, editörler, AI-Driven Production with Green Sustainability - Selected Papers from ISPR2025. Springer Science and Business Media Deutschland GmbH. 2026. p. 207-214. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-032-22784-3_19

Compliance for Cross-Border AI Projects: Managing Personal Data Transfers from the Perspective of Turkish Law

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap