Turkey - AI Law Amendments (Esas No. 2/3358)
Bill on Amendments to Certain Laws Regarding Artificial Intelligence
Bill on Amendments to Certain Laws Regarding Artificial Intelligence (Kanun Teklifi — Esas No. 2/3358)
Turkey
RAI-TR-NA-ACLRAXX-2025Turkey - AI Law Amendments (Esas No. 2/3358) is Under Review in Turkey as of 9 Sep 2026, according to tbmm.gov.tr.
BillTransparency and DisclosureData Protection and PrivacyEnforcement and PenaltiesSubmitted to the Grand National Assembly of Turkey (TBMM) on 7 November 2025 (Esas No. 2/3358), this bill proposes targeted amendments across several existing laws to regulate artificial intelligence (AI). Key measures include a statutory definition of ‘‘AI system,’’ civil/criminal liability clarifications for users and developers, mandatory labeling of AI-generated (deepfake) content, accelerated takedown/access-block timelines, dataset requirements to prevent discriminatory outcomes, expanded BTK emergency/blocking powers and administrative fines for noncompliance.
Summary
The Bill on Amendments to Certain Laws Regarding Artificial Intelligence (Esas No. 2/3358) is a legislative proposal introduced to the TBMM by MP Halil Öztürk and registered on 7 November 2025. The draft focuses on creating a baseline legal framework for AI across several existing statutes rather than drafting a standalone AI law. The proposal would: (1) insert a statutory definition of "AI system" into the Internet Publications Law (Law No. 5651) to clarify which systems fall within the scope of the amendments; (2) amend the Turkish Penal Code (Law No. 5237) to treat a user who directs an AI system to commit an offence as the perpetrator and to increase punishments for developers/designers who enable such offences through design or training; (3) shorten access-blocking/takedown response timelines for AI-generated content that violates personality rights or threatens public order (deepfakes or manipulated content) to 6 hours and assign concurrent responsibility to content providers and AI developers; (4) add obligations under the Personal Data Protection Law (KVKK, Law No. 6698) requiring that datasets used in AI applications conform to anonymity, anti-discrimination and legitimacy principles, treating the misuse of discriminatory datasets as a violation of data security; (5) empower the Information and Communication Technologies Authority (BTK) with emergency blocking/removal authority when AI content threatens election security or public order and enable administrative fines (up to 10 million TL for certain violations) and other sanctions; (6) expand the Cybersecurity Law (Law No. 7545) obligations for service providers operating AI systems to include dataset transparency and auditability, content verification mechanisms to prevent manipulative content, algorithmic controls to reduce hallucinations, mandatory human-in-the-loop supervision for high-risk applications, and regular security testing — with administrative fines (e.g., up to 5 million TL) for noncompliance and the possibility of temporary activity suspension for severe threats; (7) require clear, persistent labeling of AI-generated audiovisual, audio or textual content (deepfakes) with a phrase such as "Produced by Artificial Intelligence" ("Yapay Zekâ Tarafından Üretilmiştir") and provide BTK with enforcement and sanctioning authority for failures to label; and (8) explicitly extend provisions of the Internet Publications Law to social network operators hosting AI-driven services. The general rationale in the bill emphasizes rapid technological change and associated risks to personality rights, public order and election integrity, referencing Turkey's National AI Strategy (2021-2025) and recent international debates on AI governance. The draft uses administrative enforcement (fines, temporary activity suspension) combined with criminal-law adjustments for misuse leading to offences. It does not, in its present form, create a single central AI regulator; it assigns roles primarily to BTK and relies on existing authorities (KVKK, cybersecurity enforcement mechanisms) while referencing Presidential enforcement powers for promulgation. The bill is currently at commission stage (Sanayi, Ticaret, Enerji, Tabii Kaynaklar, Bilgi ve Teknoloji as main committee; Adalet and Digital Media as ancillary committees). Primary documentation is published on the TBMM website and the TBMM-hosted PDF of the draft. Media coverage notes proposed high administrative fines and criminal-liability clarifications; some outlets additionally report suggested imprisonment in the public debate, but the primary text emphasises expanded criminal liability and increased penalties for developers rather than specifying new separate prison terms beyond existing crime provisions. If enacted, the bill would have immediate operational impacts on online platforms, AI developers, dataset assemblers, cloud and hosting providers operating in Turkey, and would require technical changes such as dataset auditing, labeling systems, and expedited content-removal workflows.
Full article
Read full text ↗Overview
The Bill on Amendments to Certain Laws Regarding Artificial Intelligence (Esas No. 2/3358) is a multi‑article proposal submitted to the Grand National Assembly of Turkey (TBMM) on 7 November 2025. The draft does not create a new standalone AI law but amends existing statutes (including Law No. 5651 on Internet Publications, the Turkish Penal Code No. 5237, the Personal Data Protection Law No. 6698, the Electronic Communications Law No. 5809, and the Cybersecurity Law No. 7545) to introduce AI‑specific definitions, liabilities and technical obligations. The proposal emphasizes protecting personality rights, public order and election security while creating administrative and criminal accountability for misuse. The official bill text is published by the TBMM and is available as an official PDF on the TBMM site and summarized in TBMM docket entries. See the TBMM record and bill text: TBMM Kanun Teklifi (Esas No. 2/3358) and the bill PDF: Bill PDF (TBMM).
Definitions
Article 1 of the draft adds a legal definition of "AI system" into the Internet Publications Law (No. 5651). The statutory definition covers software, models and algorithmic assemblies that, with limited or no human intervention, process data to perform specific tasks (including machine learning, deep learning, neural networks and similar techniques) and produce outputs such as decisions, recommendations or content. The definition is purposive: it reaches both fully automated and semi‑autonomous systems and is designed to clarify which systems and outputs are subject to the bill's obligations (e.g., labeling, takedown duties and dataset requirements).
Governance and Institutional Framework
The draft relies on existing Turkish institutions rather than creating a new standalone AI regulator. Primary enforcement and technical supervision powers are assigned to the Electronic Communications Authority (BTK — BTK) for online content enforcement, and the Personal Data Protection Authority (KVKK — KVKK) for data‑related obligations. Cybersecurity obligations and sanctions flow through the structures established under the Cybersecurity Law (No. 7545), and criminal‑law changes will be applied by judicial authorities under the Turkish Penal Code. The TBMM bill text also envisions coordination with the Ministry of Industry and Technology and references Turkey's National AI Strategy (2021‑2025) as contextual policy support. Enforcement is therefore multi‑agency: BTK for content blocking, KVKK for dataset/data security violations, cybersecurity authorities for technical security failures, and judicial organs for criminal enforcement.
Key Focus Areas
The bill's substantive measures converge on a small set of core regulatory objectives: (1) rapid removal and blocking of AI‑generated content that violates personality rights or threatens public order (deepfakes), with a maximum operational window of six hours for takedown decisions; (2) mandatory labeling of AI‑generated audiovisual, audio and textual content with a persistent, clear statement (for example, "Produced by Artificial Intelligence"); (3) expanded criminal liability rules that treat the user directing an AI to commit a crime as the perpetrator and increase penalties for developers/designers whose systems enable criminal acts; (4) data governance obligations under KVKK ensuring datasets used in AI are anonymized as appropriate, free from discriminatory sampling and processed lawfully; (5) enhanced cybersecurity and technical obligations for AI service providers (dataset transparency, verification mechanisms to prevent manipulative/false information, algorithmic controls to reduce hallucinations, mandatory human oversight for high‑risk uses, and periodic security/vulnerability testing); and (6) administrative sanctions and fines calibrated to deter noncompliance (ranging in draft provisions from hundreds of thousands to multiple millions of Turkish Lira) and temporary activity suspensions for severe public order threats. The general rationale repeatedly frames the measures as proportionate steps to protect rights and public order while facilitating innovation under clear responsibilities.
Implementation Framework
Operationally the bill amends existing procedural pathways: BTK gains emergency access‑blocking/removal authority in cases where AI content threatens public order or election integrity, and may levy administrative fines (the text proposes amounts up to 10 million TL in some cases). Cybersecurity law amendments impose concrete technical duties on providers operating AI systems — including dataset transparency and verifiability, content verification tools to avoid manipulative information, algorithmic checks for hallucinations, human‑in‑the‑loop mechanisms for high‑risk applications, and routine cyber‑security testing. Social network operators are explicitly drawn into responsibility regimes that already apply under Law No. 5651; criminal‑law expansions are drafted to enable prosecution of users and enhanced punishments for developers who facilitate offences through system design or training. The bill leaves detailed technical standards and implementation guidance to be developed by BTK and other relevant agencies through secondary regulations and technical guidance documents.
Monitoring and Evaluation
Monitoring is assigned to the authorities empowered under the amended statutes: BTK for content‑related enforcement and technical supervision, KVKK for data governance compliance, and cybersecurity authorities for technical testing and incident reporting. The bill anticipates that BTK will have authority to conduct audits, publish guidance and use technical monitoring tools; it also contemplates administrative penalty regimes to incentivize compliance. The text implies interagency coordination mechanisms will be necessary to evaluate efficacy, but it does not prescribe a formal interministerial committee; such structures would likely arise in secondary implementation instruments or commission reports.
Penalties, Liability, and Appeals
Penalties in the draft mix administrative fines and criminal‑law consequences. Administrative sanctions include monetary fines in tiers (examples in the text: 500,000 TL to 5,000,000 TL for failure to label or systematic violations; up to 10,000,000 TL where BTK finds breaches that threaten election security/public order), and temporary activity suspensions for grave threats to public order. Criminal‑law changes provide that a user who directs an AI to commit a crime is the perpetrator and that a developer/designer who enabled the offence by design/training faces an increased sentence (penalty increased by half). Appeal procedures would follow existing administrative‑law and judicial review avenues applicable to BTK and other agency decisions, while criminal penalties remain subject to ordinary criminal procedure and appeal rights under Turkish law.
Relationship to Other Instruments
The bill amends and interacts with multiple existing legal instruments: Law No. 5651 (Internet Publications), Law No. 5237 (Turkish Penal Code), Law No. 6698 (KVKK), Law No. 5809 (Electronic Communications) and Law No. 7545 (Cybersecurity). It does not repeal these laws but inserts AI‑specific provisions into them. It also references Turkey's National AI Strategy (2021‑2025) as policy context for the legislative changes. The draft therefore uses sector‑specific statutes as vehicles for AI rules rather than consolidating AI governance in one new code.
International Alignment
The draft shows conceptual alignment with global policy trends — focusing on transparency, human oversight in high‑risk settings, data governance and sectoral enforcement — broadly consistent with EU AI Act debates and other international approaches that combine risk‑based controls, labeling of synthetic content and obligations for providers. At the same time, the bill emphasizes national public order and election security priorities (notably emergency BTK powers and compressed removal timelines), reflecting domestic regulatory priorities. The bill’s multi‑agency enforcement model mirrors other jurisdictions that rely on existing sectoral authorities rather than a single AI regulator.
Implementation Timeline
| Event | Date |
|---|---|
| Bill submitted to TBMM (registered) | 2025-11-07 |
| Referred to main and ancillary committees (Sanayi...; Adalet; Dijital Mecralar) | 2025-11-10 |
| Commission consideration — status at retrieval | Under review (Commission stage) as of 2025-11-12 |
| Anticipated secondary regulation/publication of guidance (if enacted) | To be determined following enactment |
Sources and References
| Source | Type |
|---|---|
| Bazı Kanunlarda Değişiklik Yapılmasına İlişkin Kanun Teklifi (Bill PDF, TBMM, 07 Nov 2025) | Primary Source |
| TBMM Kanun Teklifi Dossier (Esas No. 2/3358) | Primary Source |
Requirements for a company
What an organisation has to do under Turkey - AI Law Amendments (Esas No. 2/3358), at a glance. Not legal advice — the table below gives the provision and deadline for each item.
Not yet in force (Under Review). These requirements apply once the instrument takes effect and may change before then.
Must do
11- Rapidly remove or block AI-generated content violating rights or public order.Providers of online content or AI systems.
- Label all AI-generated audiovisual, audio, and textual content clearly.Developers and users generating AI content.
- Design AI systems to prevent enabling criminal acts.Developers and designers of AI systems.
- Anonymize datasets used in AI systems as appropriate.Providers of AI systems using datasets.
- Ensure datasets used in AI are free from discriminatory sampling.Providers of AI systems using datasets.
- Process all data used in AI systems lawfully.Providers of AI systems using datasets.
- +5 more in the table below
Must not do
0Nothing in this category.
Should do
0Nothing in this category.
Should not do
0Nothing in this category.
Who must do what
The obligations under Turkey - AI Law Amendments (Esas No. 2/3358), most serious first. Not legal advice — verify against the official text before relying on it.
| # | Who | Requirement | By when | Where | Severity |
|---|---|---|---|---|---|
| 1 | Providers of online content or AI systems. | Rapidly remove or block AI-generated content violating rights or public order. “maximum operational window of six hours for takedown decisions” | Within six hours of a takedown decision | — | Critical |
| 2 | Developers and users generating AI content. | Label all AI-generated audiovisual, audio, and textual content clearly. “mandatory labeling of AI‑generated ... content with a persistent, clear statement” | Before publishing or distributing content | — | Critical |
| 3 | Developers and designers of AI systems. | Design AI systems to prevent enabling criminal acts. “increase penalties for developers/designers whose systems enable criminal acts” | Before placing systems on market | — | Critical |
| 4 | Providers of AI systems using datasets. | Anonymize datasets used in AI systems as appropriate. “datasets used in AI are anonymized as appropriate” | Before using datasets for AI training | — | Critical |
| 5 | Providers of AI systems using datasets. | Ensure datasets used in AI are free from discriminatory sampling. “free from discriminatory sampling” | Before using datasets for AI training | — | Critical |
| 6 | Providers of AI systems using datasets. | Process all data used in AI systems lawfully. “processed lawfully” | Continuously | — | Critical |
| 7 | AI service providers. | Implement mandatory human oversight for high-risk AI uses. “mandatory human oversight for high‑risk uses” | Before placing high-risk systems on market | — | Critical |
| 8 | AI service providers. | Ensure dataset transparency for AI systems. “dataset transparency” | Before placing systems on market | — | Important |
| 9 | AI service providers. | Implement verification mechanisms to prevent manipulative or false information. “verification mechanisms to prevent manipulative/false information” | Before placing systems on market | — | Important |
| 10 | AI service providers. | Implement algorithmic controls to reduce AI hallucinations. “algorithmic controls to reduce hallucinations” | Before placing systems on market | — | Important |
| 11 | AI service providers. | Conduct periodic security and vulnerability testing. “periodic security/vulnerability testing” | Periodically | — | Important |
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© Regulations.AI · updated on 20 Sep 2026 · reviewed against official sources on 9 Sep 2026