Artificial intelligence is already changing how the Turkish media and entertainment industry writes scripts, designs posters, generates trailers, localizes subtitles, clones voices, edits promo cuts, creates synthetic presenters, and automates social media campaigns. For film producers, broadcasters, labels, agencies, streamers, and talent managers, the commercial attraction is obvious: AI reduces production time, lowers certain costs, and enables fast experimentation across formats. The legal position, however, is much less simple. In Türkiye, businesses using AI-generated content still operate mostly under a patchwork of existing laws rather than a single, comprehensive enacted AI statute. Turkey’s first National Artificial Intelligence Strategy was announced in 2021 as a policy roadmap, and AI-related legislative proposals have reached Parliament, with at least one proposal still shown as pending in committee in 2026. That means current risk analysis still depends primarily on copyright, data protection, media regulation, consumer law, industrial property, civil-law personality rights, and criminal law.
That patchwork matters because the media and entertainment sector commercializes exactly the things AI destabilizes: authorship, originality, likeness, voice, brand identity, audience trust, and exclusive control over content libraries. In a manufacturing business, an AI tool may mostly affect workflow. In film, television, music, publishing, advertising, gaming, and talent management, AI often affects the legal identity of the product itself. A synthetic trailer can raise copyright, personality-rights, advertising, and RTÜK issues at the same time. A cloned artist voice can trigger performer-rights, phonogram, civil, and criminal exposure in a single campaign. A newsroom avatar may raise data, disclosure, and editorial-responsibility questions all at once. For Turkish companies, the central mistake is to treat AI as a neutral software layer instead of a rights-sensitive content generator.
Turkey Still Regulates AI Content Mainly Through Existing Laws
As of April 2026, Türkiye does not yet appear to have an enacted, comprehensive AI act comparable to a unified sector-wide code for generative content. Instead, the public framework consists of strategy documents, regulatory guidance, sectoral rules, and pending legislative proposals. The National Artificial Intelligence Strategy was presented as a five-year roadmap in 2021, while Parliament’s records show AI-related legislative proposals aimed at creating a regulatory framework are still in the parliamentary process. That means a Turkish media company using generative AI cannot safely ask only, “What does Turkish AI law say?” The more practical question is, “Which existing legal regime does this AI use-case trigger?” In most real productions, the answer is several regimes at once.
This regulatory posture has a direct business consequence: compliance cannot be delegated entirely to the AI vendor. Turkish producers, broadcasters, labels, and agencies remain responsible for how the content is sourced, processed, labeled, published, monetized, and reused. The absence of a single AI statute does not reduce legal risk. In practice, it can increase it, because companies must map one AI workflow against multiple existing statutes that were not originally drafted with generative models in mind. That is particularly true in media and entertainment, where one output may simultaneously qualify as a copyright asset, a data-processing event, a commercial communication, an editorial product, and a personality-rights interference.
Copyright Ownership Is the First Major Risk
The most important legal question around AI-generated content in Turkish media law is often not infringement but ownership. Turkish copyright law is built around a human “author” and grants that author both moral and economic rights. The statute gives the author exclusive powers over disclosure of the work to the public, attribution, and protection against unauthorized modifications, and it presumes authorship from the name or pseudonym placed on the work. It also states that the authority to exercise economic rights belongs exclusively to the author. Because that statutory architecture is person-centered and because Turkish law has not yet enacted an AI-specific authorship rule, fully machine-generated outputs face real ownership uncertainty under Turkish law. That conclusion is an inference from the current legal framework, not an expressly codified AI authorship rule.
For the entertainment industry, this uncertainty is not academic. A studio may spend heavily on AI-assisted key art, a streamer may generate synthetic thumbnails at scale, or a label may release AI-built visualizers and lyric videos. Yet if the human contribution is too thin, or if the output is essentially automated with minimal creative control, the business may struggle to prove a clean copyright position later. That matters when the company wants to license the material, assign it, enforce it against copycats, or use it as collateral in a distribution, publishing, or catalogue deal. In Turkish practice, the safest position is usually to ensure meaningful human authorship, document the workflow, and allocate rights contractually among the human participants who select, edit, arrange, approve, and publish the final asset. That is a practical risk-management inference from the author-centered structure of Law No. 5846.
Training Data and Output Infringement Risks Are Separate Problems
Turkish copyright law recognizes adaptation, reproduction, distribution, performance, and communication to the public as separate economic rights, and it expressly states that economic rights are independent from one another. The law also gives the author exclusive adaptation and reproduction rights, including direct or indirect, temporary or permanent reproduction, in whole or in part. This matters because AI risk appears at two different stages. First, there is the training or input stage, where protected works, recordings, scripts, photographs, posters, video clips, or catalogues may be copied, ingested, or processed without proper authorization. Second, there is the output stage, where the generated content may reproduce protected expression, borrow protected structure, or amount to an unauthorized adaptation of an earlier work. Turkish law does not currently solve those questions through a general AI-specific exception.
That makes chain of title crucial. Turkish law requires contracts and dispositions concerning economic rights to be in writing, and the rights constituting the subject matter must be specified individually. It further states that transfer of an economic right or the grant of a license does not extend to translation or other adaptation unless otherwise agreed, and that licenses are presumed non-exclusive unless law or contract shows otherwise. Even more importantly, a party acquiring an economic right or a license from someone who lacked authority is not protected merely because it acted in good faith. For AI-generated media assets, this means a Turkish company cannot safely rely on a vendor’s vague assurance that its dataset was “licensed” or that the tool is “commercially safe.” The company should verify what was licensed, by whom, for which rights, and on what exclusivity terms.
The same problem appears in reverse when Turkish companies provide their own content to outside vendors. If a broadcaster uploads archive footage, a producer uploads unreleased scripts, or a label uploads stems and masters into a generative system, the contract must say whether the vendor may use those materials only to render the requested service or also to improve the model, build future training sets, or generate outputs for other customers. Under Turkish copyright law, rights transfers must be specific and written; broad operational access to files should not be confused with a valid license to exploit those files for model training or derivative output generation.
Music, Voice Cloning, and Digital Doubles Create Layered Rights Problems
The risk becomes sharper in music and audiovisual content because Turkish copyright law also protects neighboring and related rights. The law recognizes neighboring rights for performers, phonogram producers, and broadcasting organizations, and separately protects film producers that make the first fixation of films. It gives phonogram producers and film producers exclusive powers over reproduction, distribution, and communication of their fixations after acquiring the necessary authority, while performers retain certain personal protections over their fixed performances even after transferring economic rights. Specifically, performers remain entitled to be identified and to seek prevention of distortion or mutilation of fixed performances that would prejudice their reputation.
That means AI voice cloning and synthetic doubles are not just “copyright issues.” A cloned singer voice, AI-generated dubbed performance, or synthetic on-screen likeness may implicate the underlying song rights, the phonogram producer’s rights, performer-related protections, and the performer’s civil personality rights at the same time. In film and television, the same issue appears when studios generate de-aged performances, synthetic extras, AI-simulated anchor voices, or cloned dialogue replacement. Even where a company already owns the footage or the master, it should not assume that this automatically authorizes unlimited synthetic reuse of a performer’s identity. Under Turkish law, the more the output imitates an identifiable human performance, the more the risk moves beyond ordinary production editing and into rights-sensitive territory.
Personality Rights and Deepfakes Are a Core Litigation Risk
Turkish civil law provides a strong basis for personality-rights claims. Articles 24 and 25 of the Turkish Civil Code allow a person whose personality rights are unlawfully attacked to seek judicial protection, including prevention and cessation remedies. For media and entertainment businesses, this becomes particularly relevant when AI is used to generate realistic faces, voices, gestures, or persona-based endorsements. The Turkish Personal Data Protection Authority has also published a dedicated Deepfake Information Note explaining that deepfake technology creates threats from the perspective of personal data and setting out basic awareness points for individuals and institutions. Taken together, these sources make it clear that AI-driven imitation of a real person is a live legal risk in Türkiye even without a special “deepfake act.”
The criminal-law layer should not be ignored either. Article 125 of the Turkish Criminal Code penalizes conduct intended to harm another’s honor, reputation, or dignity, including insults committed in writing or through audio-visual means. Article 135 penalizes unlawful recording of personal data, and Article 136 penalizes unlawful delivery, publication, or acquisition of data. In the AI context, these provisions may become relevant where a fabricated celebrity statement, fake interview clip, manipulated news anchor segment, or synthetic scandal video is published as if real. For the Turkish entertainment and media sector, the lesson is simple: a deepfake is not merely a PR problem. It can also become a civil-injunction problem, a damages problem, and in some scenarios a criminal-law problem.
Data Protection Is Not a Side Issue; It Is a Core Compliance Issue
The most developed official Turkish guidance on generative AI so far comes from the Personal Data Protection Authority. In November 2025, the Authority published its “Generative AI and Protection of Personal Data” guide, which expressly frames generative AI as a source of legal and social risk and evaluates AI processing activities under Law No. 6698. The guide emphasizes that personal data processed in generative AI systems must comply with the general principles of legality, fairness, purpose limitation, proportionality, and storage limitation. It also stresses that each processing activity in the development and use of generative AI should be identified and matched with an appropriate legal basis.
For the media and entertainment industry, that guidance has immediate consequences. Prompt logs, talent reference recordings, facial images used for synthetic avatars, customer chat histories, subtitle-correction datasets, newsroom source materials, and audience-personalization data may all qualify as personal-data processing events. The KVKK guide specifically warns against indefinite retention and gives examples showing that data should not be kept simply because it may be useful for future model versions. It also underlines transparency obligations and explains that if generative AI systems are used, data subjects must be informed about who is processing data, for what purpose, how it is collected, to whom it may be transferred, and what rights they have.
A particularly important point for Turkish media companies is overseas transfer. The KVKK guide states that where Turkish data controllers use foreign-based generative AI services and personal data is transferred abroad through those systems, the transfer must comply with Article 9 of Law No. 6698 and the 10 July 2024 Regulation on procedures and principles for cross-border transfers. In practice, that means a Turkish production company cannot simply upload raw audition tapes, interview recordings, or user databases into a foreign AI tool and assume ordinary SaaS terms are enough. Cross-border transfer mechanics, transparency texts, and vendor due diligence become part of the legal workflow.
The same guide also highlights two points that matter greatly for algorithmic publishing and recommendation systems: the right to object to decisions based exclusively on automated analysis that produce adverse results, and the importance of privacy by design and privacy by default. For media companies using AI to profile audiences, score content, flag talent risks, automate casting suggestions, or personalize distribution, this means compliance is not limited to the output image or script. It extends to the full lifecycle of the data-driven system. In Turkish media operations, that lifecycle often starts long before publication and continues long after release.
Broadcasting, Streaming, and Advertising Create Another Layer of Exposure
If AI-generated content enters television, streaming, or other regulated audiovisual services, RTÜK rules become directly relevant. Law No. 6112 regulates and supervises radio, television, and on-demand media services under Turkish jurisdiction. It defines editorial responsibility as authority to regulate and control the content and selection of programs and says media service providers are liable for the content and presentation of all media services broadcast, including commercial communication and content produced by third parties. The same law also prohibits content contrary to human dignity and privacy and bars disgracing, degrading, or defamatory expressions against persons or organizations beyond the limits of criticism. Administrative fines, programme suspension, and removal from the on-demand catalogue are among the sanctions mentioned in the law.
This means AI does not dissolve editorial responsibility in Turkish broadcasting. If a broadcaster or streaming service uses synthetic anchors, AI-generated summaries, cloned voices, automated dubbing, or machine-produced satirical clips, the platform cannot simply say the model made the mistake. The law attaches responsibility to the media service provider that exercises editorial control. In practical terms, any Turkish broadcaster or OTT service using generative AI in editorial workflows should have human review, escalation rules, takedown procedures, and clear records showing who approved publication. Those are not merely operational best practices; they are part of defensible regulatory governance under a system built around editorial responsibility.
The advertising side is equally important. Turkey’s influencer-advertising guideline states that advertisements by social media influencers must be clearly and distinguishably expressed and prohibits covert audio, written, and visual product-placement advertising on social media. Consumer law, in turn, is designed to protect the health, safety, and economic interests of consumers. Together, these rules matter when AI is used to create synthetic testimonials, fake fan reactions, virtual influencers, or edited celebrity endorsements that appear organic but are actually commercial communications. In other words, unlabeled synthetic promotion can create not only reputational risk but also advertising-law and consumer-protection risk in Türkiye.
Internet Enforcement, Trade Secrets, and Cybercrime Risks
AI-related legal exposure is not limited to what gets published. It also includes how models are fed and what internal materials are touched. Turkish Internet Law No. 5651 remains part of the legal environment for online publication and is expressly described in WIPO Lex as containing general and specific provisions on regulating internet broadcasting that are also applicable in IP-related lawsuits. For media businesses, that means AI-generated infringing clips, synthetic defamatory content, or unlawfully published personal-data material can trigger internet-law responses in addition to substantive copyright, civil, or criminal claims.
The upstream acquisition of data can be even riskier. Article 239 of the Turkish Criminal Code protects business secrets, banking secrets, customer information, and certain scientific and industrial information. Articles 243 and 244 criminalize unlawful access to data-processing systems and interference with systems or data. If an agency, editor, or vendor scrapes unreleased cuts, customer files, subtitle memories, audience databases, internal scripts, or rights-management records from protected systems to train or fine-tune a model, the issue may move beyond civil breach into criminal exposure. In the entertainment sector, many of the most valuable assets are pre-release digital files. AI does not reduce their sensitivity; it increases it.
Cross-Border Exposure: The EU AI Act Matters for Turkish Exporters
For Turkish media and entertainment businesses, the compliance picture does not stop at the border. If a Turkish company distributes AI-generated promotional content, synthetic news-style content, deepfakes, or generative systems into EU-facing markets, the EU AI Act may become commercially relevant. The European Commission describes the AI Act as the first comprehensive legal framework on AI, and its Article 50 transparency obligations are specifically aimed at AI-generated content, deepfakes, and certain AI-generated publications. The Commission has stated that those transparency obligations are designed to address deception and manipulation and that the relevant rules take effect in August 2026.
That does not mean every Turkish content producer automatically falls under EU obligations in every scenario. It does mean that Turkish exporters, agencies, platforms, and distributors who serve EU markets should not design their compliance solely around current Turkish law. A synthetic trailer, digital presenter, or AI-made campaign that may be tolerated operationally in a domestic Turkish workflow could still require labeling, transparency, or other compliance measures once it is placed in an EU-facing commercial environment. For internationally distributed Turkish series, films, music campaigns, or digital creator businesses, that is no longer a remote issue.
What Turkish Media Contracts Should Start Saying About AI
From a practical risk-allocation standpoint, the most important change is contractual. Producer agreements, broadcaster commissioning documents, talent deals, dubbing contracts, localization agreements, label agreements, agency statements of work, and platform terms should now address AI expressly. At minimum, contracts should say whether AI tools may be used at all, whether customer or archive material may be used for model training, whether synthetic voices or likenesses require prior written approval, whether deliverables must be labeled if materially AI-generated, and who bears liability if third-party rights are infringed. These recommendations follow directly from Turkish copyright law’s written-form and specificity requirements, KVKK’s transparency and lawful-basis expectations, and RTÜK’s editorial-responsibility framework.
The same is true for warranties and indemnities. A Turkish buyer should ask the AI vendor or creative supplier to warrant that it has the right to use its datasets, prompts, source materials, and model outputs for the intended project; that it will not reuse confidential deliverables for unrelated model training without authorization; and that it will cooperate in takedowns, evidence preservation, and chain-of-title verification if a dispute arises. In parallel, talent-facing agreements should regulate synthetic dubbing, archival reuse, voice cloning, digital resurrection, and other forms of machine-generated identity exploitation. In the Turkish entertainment industry, AI governance is rapidly becoming a contract-drafting issue as much as a regulatory issue.
Conclusion
The legal risks of AI-generated content in the Turkish media and entertainment industry are not limited to one statute and not likely to disappear soon. At present, the most realistic view is that Türkiye regulates AI-generated content through an overlapping matrix of copyright, related rights, personality rights, data protection, broadcasting rules, consumer law, internet regulation, and criminal law, while broader AI legislation remains in policy and proposal stages rather than as a settled enacted framework.
For media companies, that means the key legal question is not whether AI can be used, but how it is governed. Ownership must be documented. Datasets and outputs must be cleared. Synthetic performances and deepfakes must be treated as rights-sensitive acts, not merely creative experiments. Personal data must be processed transparently and lawfully. Editorial and advertising responsibility must remain human and traceable. And for businesses distributing content abroad, especially into Europe, cross-border AI compliance must already be part of the release plan. In short, AI can accelerate Turkish content production, but unless rights, data, and disclosure are handled carefully, it can also accelerate litigation.
FAQ
Does Turkey currently have a comprehensive AI law specifically for media and entertainment?
Not yet in the sense of a single enacted AI statute governing the entire sector. Turkey has adopted policy documents such as the National Artificial Intelligence Strategy and has seen AI-related legislative proposals in Parliament, but the current legal analysis still relies mainly on existing copyright, data, media, consumer, civil, and criminal laws.
Who owns AI-generated content under Turkish copyright law?
That is one of the most uncertain issues. Turkish copyright law is structured around a human author who holds moral and economic rights, and it does not yet contain a dedicated AI-authorship rule. As a result, purely machine-generated output faces ownership uncertainty, while human-guided and human-edited outputs may be easier to position within the existing framework. That conclusion is an inference from the current statute rather than a specific AI clause.
Can a Turkish company use foreign AI tools with audience or talent data?
Only with care. The KVKK’s 2025 generative-AI guide states that personal data processed in generative AI systems must comply with Law No. 6698, and that where Turkish data controllers use foreign-based services causing personal-data transfers abroad, those transfers must comply with Article 9 and the post-2024 transfer framework.
Are deepfakes mainly a privacy issue or also a media-law issue?
They are both. Deepfakes can trigger civil personality-rights claims, criminal insult and data-related offences, and — if published through regulated media services — RTÜK-related exposure as well. The KVKK has also issued a dedicated Deepfake Information Note emphasizing the personal-data threats associated with the technology.
Do Turkish broadcasters remain responsible if AI makes the content?
Yes. Under Law No. 6112, media service providers retain editorial responsibility and are liable for the content and presentation of media services, including commercial communication and third-party-produced content. AI does not remove that responsibility.
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