Turkey - Chatbot Privacy Guidelines

Overview

The Personal Data Protection Authority (KVKK) issued the "Sohbet Robotları (ChatGPT Örneği) Hakkında Bilgi Notu" to clarify privacy and personal-data implications of AI-powered chatbots for Turkish stakeholders. The note uses ChatGPT as an illustrative example to describe how conversational AI collects, stores, and processes personal data through user inputs, interaction logs, voice or audio, and derived inferences. It emphasizes that conventional data-protection principles under Law No. 6698 apply to chatbot deployments, and that developers, service providers, and integrators must adopt proactive safeguards. The explanatory note is available from the Authority’s web pages and accompanying document repositories; see the Authority’s publication page at Sohbet Robotları (ChatGPT Örneği) Hakkında Bilgi Notu and the associated PDF released by the KVKK. The overview clarifies the objective of the note: to raise awareness, explain typical processing patterns, and provide pragmatic guidance for compliance and risk mitigation.

Definitions

The note defines key terms to prevent ambiguity: "chatbot" (a software application that simulates human conversation through text or voice via an interface), "AI conversation model" (machine-learning models used to generate or interpret natural language), "data controller" (entity determining purposes and means of processing), "data processor" (entity processing data on behalf of a controller), "personal data" (any information relating to an identified or identifiable natural person) and "special categories/sensitive data" (health, biometric, racial/ethnic, political opinions, sexual life, criminal records, etc.). It clarifies that metadata, usage logs and model-derived inferences that can identify or profile individuals remain personal data under Law No. 6698.

Governance and Institutional Framework

The KVKK positions the explanatory note within Turkey’s established data-protection framework and points practitioners to primary obligations under the Law No. 6698 (Personal Data Protection Law) and related regulations. Entities that determine purposes and means of chatbot processing are data controllers and must comply with registration, transparency, and security obligations; processors (including cloud or ML service providers) must act per contracts and controller instructions. The KVKK retains investigative and sanctioning authority where non-compliance is suspected. The note references the statutory text and guidance repositories hosted by the Authority; see the Law and KVKK materials at Personal Data Protection Law (KVKK) and the specific chatbot note at Sohbet Robotları (ChatGPT Örneği) Hakkında Bilgi Notu. It advises organizations to appoint responsible officers for data protection governance and to embed privacy-by-design during product lifecycle stages.

Key Focus Areas

The explanatory note highlights several risk and compliance focal points. First, transparency: users should be informed when they interact with an AI, how their data is used, retention periods and channels for exercising rights. Second, legal basis: controllers must identify lawful grounds for processing (contract, legal obligation, legitimate interests where appropriate, or explicit consent for sensitive data). Third, data minimization and purpose limitation: chatbots should collect only necessary inputs and avoid persistent storage of conversational content unless required and justified. Fourth, security: technical and organizational measures (encryption, access controls, secure logging, model hardening) must be proportionate to the risks. Fifth, special categories: the note stresses that processing sensitive data requires particular care and usually explicit legal justification or consent. Sixth, children: services likely to reach minors need age-appropriate protections and parental consent where applicable. Seventh, vendor and model-provider governance: contractual safeguards, audits, subprocessors’ transparency and cross-border transfer safeguards are required when using international ML platforms. Eighth, dataset provenance and training data: entities must consider whether training corpora contain personal data and whether that processing complies with the law. Ninth, data subject rights: the ability to access, correct, delete, and object to processing must be maintained and implementable. Tenth, incident reporting: controllers must be ready to notify the Authority and affected individuals about data breaches where required.

Implementation Framework

The note sets out practical steps for implementers. It recommends mapping data flows to identify where personal data enters chatbot systems and to apply risk-based controls. Organizations should conduct Data Protection Impact Assessments (DPIAs) for systems that present high privacy risks (for instance, chatbots that profile users or process sensitive data). Privacy-by-design and privacy-by-default principles should be integrated into software development lifecycles, with role-based access, logging, retention policies, anonymization/pseudonymization techniques, and secure model hosting. Contractual measures must require subprocessors to meet KVKK standards and to avoid unauthorized transfers. For cross-border transfers, entities should implement legally recognized safeguards under Law No. 6698. The note also advises that organizations maintain internal policies and staff training programs and maintain up-to-date records of processing activities in line with KVKK expectations.

Monitoring and Evaluation

KVKK recommends ongoing monitoring of chatbot systems to detect drift, unintended information leakage, or model behaviors that may produce discriminatory or privacy-infringing outputs. Evaluation routines should include periodic security assessments, model output testing, red-team exercises, and auditing third-party providers. Metrics for monitoring should measure data access, retention compliance, frequency of sensitive data occurrences in inputs, and the timeliness of breach response. The Authority encourages documentation of monitoring processes and results as evidence of compliance during inspections or inquiries.

Penalties, Liability, and Appeals

While the explanatory note itself is guidance, KVKK reminds stakeholders that violations of Law No. 6698 can result in administrative fines, corrective orders (deletion, anonymization, limitation), and reputational consequences. The Authority can initiate investigations and impose sanctions on controllers/processors that fail to meet obligations. Criminal liability may also arise under Turkish law in certain circumstances. The note explains appeal routes against administrative decisions and advises organizations to remediate quickly to mitigate sanction risk. For statutory details on administrative fines and enforcement, consult the underlying law and KVKK enforcement policies at Law No. 6698.

Relationship to Other Instruments

The KVKK explanatory note situates chatbot guidance within Turkey’s broader legal environment, cross-referencing consumer protection, electronic communications, cybersecurity rules, and sectoral regulations (finance, healthcare, telecommunications). It notes overlap with obligations under sector-specific laws (e.g., banking secrecy, health data confidentiality) and the need to coordinate compliance programs accordingly. The note also indicates that while the document clarifies data-protection duties, other regulatory regimes (cybersecurity authorities, sectoral supervisors) may impose additional requirements, and compliance with one regime does not exempt an entity from others.

International Alignment

The explanatory note references international regulatory developments and best practices, emphasizing alignment with EU data-protection approaches (GDPR principles) and emerging AI governance frameworks. KVKK encourages use of internationally recognized safeguards for cross-border transfers and suggests cooperation with global-standard technical measures. The note signals that Turkey monitors international AI policy developments and that operators should anticipate converging obligations—particularly regarding transparency, technical robustness, and human oversight—by consulting materials from international regulators and standards bodies. This alignment is intended to facilitate trade and interoperability while preserving Turkish data protection standards.

Implementation Timeline

Sources and References