Telif Hukuku Kapsamında Metin ve Veri Madenciliğine İlişkin Mukayeseli Bir Analiz ve Türk Hukuku İçin Model Önerisi

Yıl 2026, Sayı: 66 , 517 - 552 , 29.04.2026

Serkan Dalkıran

https://doi.org/10.54049/taad.1868335

https://izlik.org/JA98KZ66MP

Öz

Bu çalışma, dijital dönüşümün ve büyük veri olgusunun merkezinde yer alan metin ve veri madenciliği faaliyetlerini telif hukuku perspektifinden analiz ederek Türk hukuku için bir model önerisi sunmayı amaçlamaktadır. TDM teknikleri, özellikle bilimsel araştırmalar ve yapay zekâ sistemlerinin eğitimi süreçlerinde veri setlerinden örüntü ve korelasyonlar elde edilmesini sağlayan temel bir araç niteliğindedir. Ancak bu süreçte gerçekleştirilen teknik kopyalama işlemleri, eser sahiplerinin çoğaltma hakkı ile TDM’nin ifadesel olmayan kullanım niteliği arasında yapısal bir gerilime yol açmaktadır. Çalışma kapsamında, ABD’deki adil kullanım doktrini, Avrupa Birliği’ndeki CDSM Direktifi istisnaları ve Japonya’daki esnek istisna modeli mukayeseli bir biçimde incelenerek, bu sistemlerin teknolojik inovasyon ile telif hakları arasında kurduğu denge değerlendirilmiştir. Türk telif hukukundaki mevcut durum ve yasal düzenleme girişimlerinin TDM tabanlı teknolojiler karşısında yetersiz kalabileceği tespit edilerek, uluslararası telif hukukundan kaynaklanan yükümlülükleri ile uyumlu, hem hukuki öngörülebilirliği sağlayan hem de bilişim çağında rekabetçiliği destekleyen özgün bir yasal sınırlama hükmü önerilmiştir.

Anahtar Kelimeler

Metin ve veri madenciliği (TDM) , Yapay zekâ eğitimi , Telif hakkı , Çoğaltma hakkı , İstisna ve sınırlamalar

A COMPARATIVE ANALYSIS OF TEXT AND DATA MINING WITHIN THE SCOPE OF COPYRIGHT LAW AND A MODEL PROPOSAL FOR TURKISH LAW

https://izlik.org/JA98KZ66MP

Öz

This study aims to analyze text and data mining activities, which lie at the center of digital transformation and the phenomenon of big data, from a copyright law perspective and to propose a model for Turkish law. TDM techniques constitute a fundamental tool that enables the extraction of patterns and correlations from datasets, particularly in scientific research and in the training processes of artificial intelligence systems. However, the technical copying operations carried out in this process give rise to a structural tension between authors’ reproduction right and the non-expressive nature of TDM. Within the scope of the study, the fair use doctrine in the United States, the exceptions under the EU CDSM Directive, and the flexible exception model in Japan are examined comparatively, and the balance these systems establish between technological innovation and copyright is assessed. By identifying that the current situation in Turkish copyright law and legislative initiatives may remain inadequate in the face of TDM-based technologies, a unique legal limitation provision has been proposed that is compatible with obligations arising from international copyright law, provides legal predictability, and supports competitiveness in the information age.

Anahtar Kelimeler

Text and data mining (TDM) , AI training , Copyright law , Right of reproduction , Limitations and exceptions

Kaynakça

• ‘AI and Copyright: The Training of General‑purpose AI’ (Epthinktank, 28 April 2025)
• ‘America’s AI Action Plan’
• Bottis Μ and others, ‘Text and Data Mining in Directive 2019/790/EU Enhancing Web-Harvesting and Web-Archiving in Libraries and Archives’ (2019) 9 Open Journal of Philosophy 369
• Carroll M, ‘Copyright and the Progress of Science: Why Text and Data Mining Is Lawful’ (2019) 53 Copyright and the Progress of Science 893
• Caudwell J, ‘LibGuides: Text & Data Mining: What Is TDM?’
• Colonna L, ‘A Taxonomy and Classification of Data Mining’ (2013) 16 SMU Science and Technology Law Review 309
• US Copyright Office, ‘Copyright and Artificial Intelligence, Part 3: Generative AI Training Pre-Publication Version’
• ‘Data, Data Everywhere’ The Economist
• Ducato R and Strowel A, ‘Ensuring Text and Data Mining: Remaining Issues with the EU Copyright Exceptions and Possible Ways Out’ (2021) 43 EIPR 322
• Dusollier S and others, ‘Copyright and Generative AI: Opinion’ (2025) 16 JIPITEC – Journal of Intellectual Property, Information Technology and E-Commerce Law
• Eroglu Y, ‘Text Mining Approach for Trend Tracking in Scientific Research: A Case Study on Forest Fire’ (2023) 6 Fire
• Friedmann D, ‘Copyright as Affirmative Action for Human Authors Until the Singularity’ (2024) 73 GRUR Int 1
• Geiger C, ‘Elaborating a Human Rights-Friendly Copyright Framework for Generative AI’ (2024) 55 IIC 1129
• Geiger C, Frosio G and Bulayenko O, ‘Text and Data Mining in the Proposed Copyright Reform: Making the EU Ready for an Age of Big Data?: Legal Analysis and Policy Recommendations’ (2018) 49 IIC 814
• Griffiths J, Synodinou T and Xalabarder R, ‘Comment of the European Copyright Society Addressing Selected Aspects of the Implementation of Articles 3 to 7 of Directive (EU) 2019/790 on Copyright in the Digital Single Market’ (2023) 72 GRUR Int 22
• Grossman J and Pedahzur A, ‘Political Science and Big Data: Structured Data, Unstructured Data, and How to Use Them’ (2020) 135 Political Science Quarterly 225
• Guadamuz A and Cabell D, ‘Data Mining in UK Higher Education Institutions: Law and Policy’ (2014) 4 Queen Mary Journal of Intellectual Property 3
• Güneş İ, Uygulamada Fikir ve Sanat Eserleri Hukuku (Seçkin Yayıncılık 2021)
• Hassani H and others, ‘Digitalisation and Big Data Mining in Banking’ (2018) 2 Big Data and Cognitive Computing
• Hilty R and Richter H, ‘Position Statement of the Max Planck Institute for Innovation and Competition on the Proposed Modernisation of European Copyright Rules Part B Exceptions and Limitations (Art. 3 Text and Data Mining)’ (2017) 17 Max Planck Institute for Innovation & Competition Research Paper No
• Jörg Hoffmann, ‘Technological Determination of AI-Relevant Press and Copyright Law and Generative Content’s Relevance for EU Competition Law -The Referral in Case C-250/25, Like Company v. Google Ireland Ltd.’ (2025) 25 Max Planck Institute for Innovation & Competition Research Paper
• Kaufman RS, ‘Responsible AI Starts with Licensing’ (2025) 48 The Columbia Journal of Law & the Arts 403
• Kim R, ‘5 Takeaways from the Copyright Office’s Report on Generative AI Training’ (Copyright Alliance, 29 May 2025)
• Kretschmer M, Margoni T and Oruç P, ‘Copyright Law and the Lifecycle of Machine Learning Models’ (2024) 55 IIC 110
• Lucchi N, ‘ChatGPT: A Case Study on Copyright Challenges for Generative Artificial Intelligence Systems’ (2024) 15 European Journal of Risk Regulation 602
• Margoni T, ‘Text and Data Mining in Intellectual Property Law: Towards an Autonomous Classification of Computational Legal Methods’ (UK Copyright and Creative Economy Centre University of Glasgow (CREATe) 2020) Research Reports or Papers
• Margoni T, ‘TDM and Generative AI: Lawful Access and Opt-Outs’ (30 May 2024)
• Margoni T and Kretschmer M, ‘A Deeper Look into the EU Text and Data Mining Exceptions: Harmonisation, Data Ownership, and the Future of Technology’ (2022) 71 GRUR Int 685
• Mashey JR, ‘Big Data and the Next Wave of InfraStress Problems, Solutions, Opportunities’, 1999 USENIX Annual Technical Conference (USENIX ATC 99) (USENIX Association 1999)
• Matzen K, Bala K and Snavely N, ‘StreetStyle: Exploring World-Wide Clothing Styles from Millions of Photos’ (2017) abs/1706.01869 ArXiv
• Meho LI, ‘The Rise and Rise of Citation Analysis’ (2007) 20 Physics World 32
• ‘Memorisation in Generative Models and EU Copyright Law: An Interdisciplinary View | Kluwer Copyright Blog’
• Nelson D, ‘What Trump’s AI Action Plan Means For Copyright’ (Forbes)
• OECD, ‘2023 OECD Digital Government Index: Results and Key Findings’ [2024] OECD Public Governance Policy Papers
• Plonus M, ‘8 - The Digital Computer’ in Martin Plonus (ed), Electronics and Communications for Scientists and Engineers (Second Edition) (Butterworth-Heinemann 2020)
• ‘Request for a Preliminary Ruling from the Budapest Környéki Törvényszék (Hungary) Lodged on 3 April 2025 – Like Company v Google Ireland Limited (Case C-250/25, Like Company)’
• Rojek I and others, ‘Natural Language Processing in Generating Industrial Documentation Within Industry 4.0/5.0’ (2025) 15 Applied Sciences
• Rosati E, ‘Copyright as an Obstacle or an Enabler? A European Perspective on Text and Data Mining and Its Role in the Development of AI Creativity’ (2019) 27 Asia Pacific Law Review 198
• ‘CJEU Receives First Referral on Chatbots and Copyright’ (The IPKat)
• Sag M, ‘The New Legal Landscape for Text Mining and Machine Learning’ (2018) 66 J Copyright Soc’y USA 291
• Samuelson P, ‘Text and Data Mining of In-Copyright Works: Is It Legal?’ (2021) 64 Commun ACM 20
• Schaul K, Chen SY and Tiku N, ‘Inside the Secret List of Websites That Make AI like ChatGPT Sound Smart’ (Washington Post)
• Schirru L and others, ‘Text and Data Mining Exceptions in Latin America’ (2024) 55 IIC 1624
• Senftleben M, ‘Compliance of National TDM Rules with International Copyright Law: An Overrated Nonissue?’ (2022) 53 IIC 1477
• Stanford HAI, ‘The 2025 AI Index Report’
• Strowel A and Ducato R, ‘Artificial Intelligence and Text and Data Mining: A Copyright Carol’, The Routledge Handbook of EU Copyright Law (Routledge 2021)
• Suluk C, Fikri Mülkiyet Haklarının Koruma Kuvveti (Seçkin Yayıncılık 2025)
• Tong M, ‘The New Actor: Artificial Intelligence in Criminology and Criminal Justice’ (2025) 26 CCJLS
• Ueno T, ‘The Flexible Copyright Exception for “Non-Enjoyment” Purposes ‒ Recent Amendment in Japan and Its Implication’ (2021) 70 GRUR Int 145
• Vrakas G, ‘A Literature Review of ?Lawful? Text and Data Mining. [Version 2; Peer Review: 1 Approved, 2 Approved with Reservations]’ (2024) 4 Open Research Europe
• Ware M and Mabe M, ‘The STM Report: An Overview of Scientific and Scholarly Journal Publishing’ [2015] Copyright, Fair Use, Scholarly Communication, etc
• Xiao W and others, ‘Different Data Mining Approaches Based Medical Text Data’ (2021) 2021 J Healthc Eng 1285167
• Zwolenski M and Weatherill L, ‘The Digital Universe: Rich Data and the Increasing Value of the Internet of Things’ (2014) 2 JTDE 9
• Directive 2001/29/EC of the European Parliament and of the Council of 22 May 2001 on the harmonisation of certain aspects of copyright and related rights in the information society 2001
• Directive (EU) 2019/790 of the European Parliament and of the Council of 17 April 2019 on copyright and related rights in the Digital Single Market and amending Directives 96/9/EC and 2001/29/EC (Text with EEA relevance.) 2019
• Copyright Law of the United States and Related Laws 1976
• Japanese Copyright Act 1970
• Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act) (Text with EEA relevance) 2024