Contents
• Why Turkey's AI Regulatory Agenda Is Accelerating in 2026
• The Legislative Framework Taking Shape
• The Personal Data Protection Law and AI
• The Draft AI Law
• Sector-Specific Rules
• Key Compliance Obligations Technology Companies Face
• Risk Classification and Documentation
• Transparency and Explainability
• Data Governance
• Human Oversight Mechanisms
• Incident Reporting
• What High-Risk AI Looks Like in Practice
• The EU AI Act's Shadow Over Turkish Compliance
• Enforcement: What the Penalties Look Like
• Practical Steps for Technology Companies Right Now
• How Foreign Technology Companies Should Approach Turkish AI Compliance
• The Bigger Picture: Turkey as an AI Market
• FAQs
• What Comes Next
Turkey is moving fast on artificial intelligence law, and technology companies operating in or entering the Turkish market cannot afford to treat compliance as an afterthought. The country's regulatory posture on AI has shifted from broad policy statements to concrete legislative groundwork, and 2026 is shaping up as the year when obligations become real. Whether you run a software company, a fintech platform, or a multinational deploying AI-driven products in Turkey, understanding where the law is heading matters as much as understanding where it stands today.
This article maps Turkey's AI regulation roadmap, explains what the key frameworks require, and outlines the practical steps technology companies should be taking right now.
Why Turkey's AI Regulatory Agenda Is Accelerating in 2026
Turkey's push to regulate artificial intelligence did not emerge in a vacuum. The country has watched the European Union's AI Act move from proposal to enforcement and drawn real lessons from that process. As an EU candidate country, Turkey tends to track European legislative frameworks closely - not always replicating them word for word, but rarely straying far from their structure.
At the same time, Turkey has its own digital economy ambitions. The government's 2021-2025 National Artificial Intelligence Strategy set targets for AI adoption across public services, manufacturing, and finance. In that context, regulation is not a brake on growth - it is a condition for it. Policymakers want Turkish companies and foreign investors to see Turkey as a credible, rules-based environment for deploying AI.
The result is a regulatory landscape that is still forming but moving with genuine momentum. Companies that wait for final legislation before acting will find themselves scrambling.
The Legislative Framework Taking ShapeThe Personal Data Protection Law and AI
Turkey's existing data protection framework, built around the Personal Data Protection Law (KVKK), already applies to a wide range of AI systems. Any AI application that processes personal data of individuals in Turkey falls under KVKK obligations - including automated decision-making, profiling, and training models on datasets that contain identifiable information.
The Personal Data Protection Authority has issued guidance making clear that automated processing decisions with significant effects on individuals require an explicit legal basis and, in many cases, human oversight. For technology companies, this means that deploying a model which makes credit decisions, hiring recommendations, or health assessments without a documented legal basis and a human review mechanism is already non-compliant under current law.
The Draft AI Law
Turkey's Ministry of Industry and Technology has been developing a dedicated AI law that draws heavily on the EU AI Act's risk-based structure. Under this approach, AI systems are classified by the level of risk they present:
• Unacceptable risk: Systems that manipulate behavior, exploit vulnerabilities, or enable social scoring by public authorities. These would be prohibited outright.
• High risk: Systems used in critical infrastructure, education, employment, essential services, law enforcement, and migration. These face the heaviest compliance requirements.
• Limited risk: Systems like chatbots that interact with users. Transparency obligations apply.
• Minimal risk: Most AI applications, subject to voluntary codes of conduct.
The draft law is expected to require conformity assessments for high-risk systems, mandatory technical documentation, incident reporting obligations, and registration in a national AI system database. The exact timeline for enactment has shifted, but the legislative direction is not in doubt.
Sector-Specific Rules
Beyond the general AI law, sector regulators are moving independently. The Banking Regulation and Supervision Agency (BDDK) has signaled expectations around explainability and fairness for AI models used in credit scoring and fraud detection. The Capital Markets Board (SPK) has raised similar concerns about algorithmic trading. The Information Technologies and Communication Authority (BTK) is developing rules for AI systems embedded in telecommunications and digital platforms.
Technology companies need to track not just the general AI law but also the sector-specific frameworks relevant to their particular deployment context.
Key Compliance Obligations Technology Companies Face
Risk Classification and Documentation
The first practical step is classifying every AI system you operate or plan to deploy in Turkey. That means mapping each system against the draft law's risk categories and documenting that classification with supporting evidence - covering the system's intended purpose, the data it processes, the decisions it influences, and the safeguards built in.
This is not a one-time exercise. Risk classification needs to be revisited when a system is updated, when its deployment context changes, or when new regulatory guidance is issued.
Transparency and Explainability
Turkish regulation, like the EU framework it mirrors, places significant weight on transparency. Users interacting with AI systems should know they are doing so. Individuals affected by automated decisions should be able to understand the basis for those decisions and have a meaningful way to challenge them.
For technology companies, this means building explainability into system design rather than treating it as a documentation exercise after the fact. Black-box models deployed in high-stakes contexts face the highest scrutiny.
Data Governance
AI systems are only as compliant as the data pipelines feeding them. Companies need to audit the datasets used for training and inference to confirm that personal data was collected lawfully, that a valid legal basis applies, and that data minimization principles were followed.
Cross-border data transfers are a particular pressure point. Turkey's KVKK rules on transferring personal data outside the country apply to AI training data just as they do to any other data. If your model was trained on data that includes Turkish residents' information, transferring that data to servers abroad requires either an adequacy decision, standard contractual clauses, or explicit consent. Explicit consent may not be sufficient for continuous data transfers. In this context, appropriate safeguards and standard contractual clauses are of importance.
Human Oversight Mechanisms
For high-risk AI systems, the emerging Turkish framework requires meaningful human oversight - not just a nominal review step. That means designing workflows where a qualified person can genuinely evaluate, override, or halt an AI system's output before it takes effect. Companies should document these oversight mechanisms and be prepared to demonstrate them to regulators.
Incident Reporting
The draft AI law contemplates mandatory reporting of serious incidents involving AI systems. Technology companies should establish internal processes for detecting, escalating, and reporting AI-related incidents before those obligations become legally binding. Building that infrastructure now is far easier than retrofitting it under regulatory pressure.
What High-Risk AI Looks Like in Practice
The risk-based classification can feel abstract until you map it to real products. The following are examples of AI deployments that would likely fall into the high-risk category under Turkey's emerging framework:
• A recruitment platform that uses AI to screen CVs and rank candidates
• A fintech application that uses machine learning to approve or deny loan applications
• A health app that uses AI to recommend treatments or flag medical conditions
• An HR system that uses AI to evaluate employee performance
• A facial recognition system used in physical access control
If your company operates any of these, you should already be treating them as high-risk and building compliance architecture accordingly.
The EU AI Act's Shadow Over Turkish Compliance
Companies that have already worked through EU AI Act compliance are in a stronger starting position. But the alignment between the two frameworks is not perfect, and assuming that EU compliance equals Turkish compliance is a mistake.
Turkey has its own data protection rules, its own sector regulators, and its own enforcement mechanisms. The timelines differ. The definitions may diverge in important ways once the final Turkish law is enacted. Turkish compliance should be treated as a parallel workstream - not a derivative of an existing EU compliance program.
Enforcement: What the Penalties Look Like
Turkey's KVKK already carries significant penalties for data protection violations, with fines that can reach into the millions of Turkish lira. The draft AI law is expected to introduce its own penalty structure, with higher fines for prohibited systems and for high-risk systems deployed without conformity assessments.
Beyond financial penalties, non-compliance creates operational risk. Regulators can require companies to suspend or modify AI systems. In sectors like banking and capital markets, regulatory findings can trigger license reviews. And in a market where trust is a genuine competitive asset, reputational exposure matters too.
Practical Steps for Technology Companies Right Now
You do not need to wait for the AI law to pass before acting. Here is what companies should be doing in 2026:
Conduct an AI inventory. List every AI system you develop, deploy, or use in Turkey - including systems embedded in third-party tools you rely on.
Classify by risk. Apply the draft law's risk categories to each system and document your reasoning.
Audit your data pipelines. Check that training data and inference data comply with KVKK. Identify any cross-border transfer issues.
Review your transparency disclosures. Make sure users know when they are interacting with AI, and that affected individuals have a clear path to understand and challenge automated decisions.
Build oversight into your workflows. For high-risk systems, create genuine human review mechanisms and document them properly.
Engage legal counsel with IT law expertise. The intersection of AI, data protection, sector regulation, and corporate liability is complex. Companies that try to navigate it without specialist advice tend to miss obligations that are not obvious from reading the statute alone.
Miran Legal advises technology companies on Turkish IT law, data protection compliance, and the regulatory requirements that apply to AI deployments. The firm's practice covers both the general KVKK framework and the sector-specific rules that apply in finance, healthcare, and digital platforms
How Foreign Technology Companies Should Approach Turkish AI Compliance
Foreign companies often assume that Turkish AI regulation only applies if they have a local entity. That assumption is wrong. Turkey's KVKK applies to any processing of Turkish residents' personal data, regardless of where the data controller is established. The draft AI law is expected to follow a similar territorial scope, consistent with the EU AI Act's approach.
If your AI product is offered to users in Turkey, processes data about Turkish residents, or makes decisions that affect people in Turkey, you are likely within scope. This applies to SaaS platforms, mobile applications, and AI-powered services delivered remotely.
Foreign companies should appoint a local representative in Turkey, establish a legal basis for data processing under KVKK, and monitor the AI law's progress through the legislative process. Waiting until enforcement begins is not a viable strategy.
The Bigger Picture: Turkey as an AI Market
Turkey has a young, digitally active population, a growing technology sector, and significant government investment in AI infrastructure. For technology companies, that makes it an attractive market. The regulatory environment is becoming more demanding - but also more predictable, which is what serious investors and operators need.
Companies that build compliance into their AI products from the start will find it easier to scale in Turkey and to meet the requirements of other markets with similar frameworks. The compliance work you do for Turkey is not wasted even if your primary market is elsewhere.
FAQS
Does Turkey have a dedicated AI law yet? As of 2026, Turkey does not have a fully enacted dedicated AI law, but a draft law aligned with the EU AI Act's risk-based structure is in advanced development. Existing laws, including KVKK, already apply to many AI applications.
Which AI systems are considered high risk under Turkey's emerging framework? Systems used in employment, credit decisions, healthcare, critical infrastructure, law enforcement, and education are expected to fall into the high-risk category. These face the most demanding compliance requirements, including conformity assessments and human oversight obligations.
Does Turkish AI regulation apply to foreign companies? Yes. Turkey's data protection law applies to any processing of Turkish residents' personal data, regardless of where the company is based. The draft AI law is expected to follow a similar territorial approach.
What are the penalties for non-compliance? KVKK violations already carry fines that can reach millions of Turkish lira. The draft AI law is expected to introduce additional penalties for prohibited systems and for high-risk systems deployed without proper conformity assessments.
How does Turkey's AI regulation relate to the EU AI Act? Turkey's draft AI law draws heavily on the EU AI Act's risk-based classification system. However, the two frameworks are not identical. Turkish compliance requires separate analysis and cannot be assumed from EU compliance alone.
What should technology companies do right now? Companies should conduct an AI system inventory, classify systems by risk, audit data pipelines for KVKK compliance, review transparency disclosures, and build human oversight mechanisms into high-risk deployments. Given the complexity of the regulatory landscape, engaging specialist legal counsel is strongly advisable.
Where can technology companies get legal advice on Turkish AI regulation? Miran Legal provides legal counsel on IT law, data protection, and AI compliance in Turkey, with offices in Istanbul, Izmir, and Ankara as well as international locations.
What Comes Next
Turkey's AI regulation roadmap is not a distant concern. The legislative pieces are moving, sector regulators are already acting, and the data protection framework creates real obligations today. Technology companies that treat 2026 as a preparation year rather than a waiting year will be in a far stronger position when the AI law reaches its final form.
The companies that get this right are the ones that start the compliance work before it is strictly required, build documentation practices that scale, and work with legal advisors who understand both the Turkish regulatory environment and the technical realities of AI deployment. That combination is what separates companies that manage AI regulation from companies that are managed by it.