Does Using AI Violate KVKK?

⏱️ Reading time: 12 min · 📁 Category: KVKK & Digital Compliance

Does Using AI Violate KVKK? (2026 Detailed Practical Guide)

"Is it against KVKK to use artificial intelligence?", "Is it illegal to enter data into ChatGPT?", "Can we process customer data with AI?"
These questions are among the topics most frequently raised in audits during 2025–2026.
This guide offers legal, IT, HR, marketing and management teams a framework that is
practical and defensible in an audit.

1️⃣ A Clear Answer to the Basic Question 🔑 Short answer: No. Using AI does not, by itself, violate KVKK.
🔴 However: If AI processes personal data, the activity is subject to KVKK.

KVKK regulates personal data processing rather than technology. The question is therefore not “Is AI involved?”, but:
What does the AI process, for what purpose and on what legal basis? This is the basis for the assessment.

2️⃣ How is Artificial Intelligence Evaluated in KVKK?

Although KVKK has no specific article on AI, AI systems generally perform the following activities:

• Data collection / import
• Analysis, classification, summarization
• Generating predictions
• Profiling and automated decision support

If data makes a natural person directly or indirectly identifiable, all these activities may constitute
personal data processing. AI use is therefore often assessed alongside the following provisions:

• KVKK Art. 4 (general principles)
• KVKK Arts. 5–6 (processing conditions / special categories of data)
• KVKK Art. 10 (duty to inform)
• KVKK Art. 11 (data subject rights)
• KVKK Art. 12 (data security)

3️⃣ Does AI Process Personal Data? (Critical Threshold)

If even one of the following questions is "yes", the KVKK is in effect:

• Are identifiers such as names, email addresses or phone numbers entered into the AI system?
• Can a person be identified in texts? (e.g. "X who works at that company in Eskişehir")
• Is audio, video, face, or behavior data used?
• Is customer, employee, or candidate data processed?
• Do the outputs affect real people (recruitment screening, risk scores, performance scores, etc.)?

Practical threshold: "Can we recognize/identify a person?"
Yes → KVKK applies. No → The activity may fall outside KVKK’s scope, although information security or trade-secret risks may remain. 4️⃣ Which AI Uses Comply with KVKK? (Low-Risk Scenarios) ✅ 1) AI with Anonymous / Fictional Data

• Fake names, test users
• Masked data sets
• Anonymised data that cannot be linked to the real person

These scenarios are generally considered outside KVKK’s scope or in a low-risk category.
The crucial point is that data described as anonymous must be irreversibly anonymised.

✅ 2) Producing Content without Personal Data

• Blog writing, advertising text production
• Code production
• Presentation / document draft

Without personal data, the KVKK risk is minimal. Even then, the issues of trade secrets, know-how and
contractual confidentiality must be managed separately.

✅ 3) Analyses without Personal Data

• General market analysis, trend interpretation
• Product description / technical document simplification
• Process modeling (if no personal data)

5️⃣ High-Risk AI Uses That May Violate KVKK 🔴 1) Entering Customer, Employee or Candidate Data into AI

The following examples produce direct risk:

• Uploading CVs for AI-based screening or scoring
• Using AI to analyse customer emails, including identity details, contact details and complaints
• Using AI to evaluate employee performance

Reason for the risk: The legal basis, duty to inform, minimisation, security and, in most systems, cross-border transfers must all be addressed at once.
Using a tool does not remove responsibility. 🔴 2) Automatic Decision Making and Profiling

If AI outputs produce consequences for a natural person (recruitment screening, credit or bonus decisions, risk scores or behavioural classification),
protecting data subject rights and ensuring the process can be audited become critical.

• AI-based automated recruitment screening
• AI-based bonus or performance scoring
• Customer risk classification with AI

High-risk indicator: If there is no human intervention or the process is a black box whose cause-and-effect relationships cannot be explained,
it is harder to defend the process in an audit. 🔴 3) Training Models with Personal Data

The use of personal data to train the AI model carries high sensitivity in terms of "limitation to purpose" and "predictability".
Using data for training may, in most scenarios, create additional requirements, including a separate analysis and explicit consent.

6️⃣ Need explicit consent in Artificial Intelligence Use? 🔑 Answer: Yes, depending on the circumstances. Using AI does not automatically require explicit consent, but it becomes mandatory in some scenarios.

Typical circumstances that may require explicit consent:

• Where a legal basis such as legitimate interests or a contract is absent
• Where special categories of personal data are processed
• Where personal data is used for AI training or secondary purposes
• Where automated decisions have a significant impact on a person

⚠️ Critical warning: Broad consent statements covering everything, including AI, are weak evidence in an audit.
Explicit consent must be specific, informed and freely given. 7️⃣ AI and Data Transfers (Cross-Border Transfers: Critical)

Many AI tools are cloud-based and their infrastructure may be located abroad. This can create a risk of
personal data being transferred abroad.

• Server location of AI provider
• Chain of subprocessors
• Logging / telemetry / support records
• Use for training or retention periods

Audit question: “Where does this data go, who can access it, how long is it retained and under which transfer conditions?”
Without arrangements for cross-border transfers, the risk rises quickly. 8️⃣ Who Uses AI, and Who Is the Data Controller?

Role distribution is as follows in most scenarios:

• Company: Data controller (sets the purpose, provides data and uses outputs)
• AI provider / Tool: Data processor or third party, depending on the contract and usage model

Practical consequence: “The tool did it” is not an accepted defence.
As controller, the company is responsible for minimisation, security, privacy information and the legal basis for processing. 9️⃣ The 2026 Perspective: Maturity Expected by the Authority in Audits

As of 2026, audits expect more than disclosure of AI use: they expect governance and control mechanisms:

• Transparency (which AI is used where?)
• Auditability (decision logic, rule sets, human intervention)
• Data subject rights (access, rectification and objection procedures)
• Security (access control, DLP, log, authorization)
• Transfer management (cross-border transfers and subprocessor chains)

🔟 Artificial Intelligence for Companies + KVKK Compliance Map

1. AI inventory: Which team uses which tool for what purpose?
2. Data map: What data enters and leaves the system?
3. Legal basis analysis: Compliance with Arts. 5–6, minimisation and purpose limitation
4. Update privacy information: AI use, purpose, categories, transfers and retention arrangements
5. Cross-border transfer checks: Provider, location, contracts and conditions
6. Human intervention: Human-in-the-loop for high-impact decisions
7. Technical measures: Masking, restricted access, DLP, tokenisation and a secure environment
8. Logging and evidence: Who processed what and when, and which outputs were produced?
9. Policy: AI Use Policy + Prohibited Data List + Approved Tools List

1️⃣1️⃣ Most Common Dangerous Mistakes

• Uncontrolled use on the assumption that AI is “just a tool”
• Uploading all CVs or customer emails directly to AI
• Automated screening or scoring without human oversight
• Burying explicit consent in a general text
• Not masking / minimizing
• Not assessing the risk of transfer abroad

✅ Executive Summary

• ✔ Artificial intelligence is not prohibited.
• ✔ If there is personal data, there is KVKK.
• ❌ Uncontrolled use is risky.
• ❌ Automated decisions + no human oversight = high risk.

🧠 Expert View (Clear)

As of 2026, the risk is not using AI, but using AI without controls.
Under KVKK, the issue is the infrastructure for legal awareness, governance and evidence rather than technology itself.

Let Us Prepare Your AI Use Policy and KVKK Compliance Map