Use This KVKK Checklist Before Publishing an AI Video
Faces, voices, vendors, approvals, and retention all need a clear review before publication.
An AI video KVKK personal data review should begin before a team uploads source footage, records a voice sample, or publishes a synthetic avatar. AI-augmented production can support content workflows. Each project still needs clear decisions about identifiable people, data handling, approvals, and accountability.
KuarkTek Digital works on technical, education, healthcare, finance, and public-sector communications. This checklist helps communications, marketing, and project teams plan production alongside the client's legal or privacy advisers. It is especially useful when videos involve employees, students, customers, patients, executives, or representatives. Start with our broader AI video compliance resources. Then use the questions below to identify gaps in your workflow and document the review.
Identify every face, voice, and personal detail
Start by listing every element that could identify a person. This includes faces, voices, names, job titles, contact details, locations, ID cards, screen recordings, and background material. A short interview clip may contain several of these elements.
For each person, record why you need the material, where it came from, who can access it, and where the finished video will appear. Include paid media, websites, social channels, internal platforms, event screens, and presentations. Context matters. A video approved for an internal meeting may need separate approval for a public campaign.
Also review material supplied by the client. Do not assume source files are ready for AI processing because the client provided them. Ask for the approved use and the key contact who confirmed it. This gives the project a clear starting point.
Set clear boundaries for synthetic avatars and cloned voices
Synthetic avatars and cloned voices need a specific approval step. Confirm whether a real person's image or voice will be used as training material, reference material, or the basis for generated output. Record the intended script, channels, campaign period, and the person or team who can approve changes.
Confirm who authorized the use. State which channels and time period the authorization covers. Record whether the asset can be reused or changed for a new script, format, or campaign. Store written consent or authorization with the project approval materials. The team should be able to find it during production and review.
Corporate communications can create added risk when an avatar appears to speak for an executive, employee, customer, student, or expert. Check whether viewers could understand the generated message as that person's genuine statement. The brief should say whether the output is fictional, an approved spokesperson asset, or a recreation of a known individual.
Keep source recordings separate from general project assets. Limit access to people who need them for production. If the campaign changes direction, review the approval again. The original asset may not cover every future use.
Apply data minimization to AI video production
Use only the material required for the approved video. Before you upload files to an editing, generation, transcription, or avatar platform, remove identifiers that have no role in the work. Review scripts, footage, voice recordings, screen captures, and production notes.
A product demonstration may require a presenter and interface visuals. It may not require a customer database, internal email thread, or employee contact details to appear on screen. Reframe the shot, use designed sample screens, or prepare a clean script. These choices reduce the personal data handled during production.
Decide how files will be stored before work starts. Record where source files, generated outputs, prompts, transcripts, review comments, and exports will be kept. KuarkTek Digital's privacy information notes that individuals may request information about their data, correction of inaccurate data, or deletion when processing is no longer required. Keep project records clear enough to respond to those requests.
Review vendors, access, retention, and deletion
AI video projects often use several tools. A workflow may include storage, transcription, editing, image generation, voice generation, rendering, and publishing platforms. List every vendor used for the project. Record the data shared with each service, the project owner, and the access given to internal and external contributors.
Ask practical questions before you use a tool. Where will it process the data? Does the vendor use source footage, voice samples, prompts, or outputs for model training? Which subcontractors can receive the data? Review the data-processing terms and any international-transfer terms that apply.
Also check what the tool needs and retains. Can collaborators download files? Do generated assets remain in the workspace? Who can remove them when the project closes?
Match access to the production plan. Give contributors only the files and permissions they need. Remove access when their role ends. Set a retention decision for source assets and generated materials, then assign someone to confirm deletion or archival at project close. Keep a clear record so the client can see where materials were handled during production.
Escalate sensitive-sector approvals early
Healthcare, education, finance, and public-sector projects need a clear approval route from the start. Their content may involve vulnerable audiences, confidential details, regulated messaging, or legal duties. Do not wait for the final edit. Deadlines can pressure teams to publish.
For education projects, check whether footage shows students, parents, classrooms, names, or records. KuarkTek Digital produced an interview-led campaign for Kerem Aygün College featuring parents and students. The campaign supported the school's enrollment communications across its website, search engines, social media channels, and outdoor advertising. This example does not establish legal compliance. It shows why teams should decide on participant approval and publication channels early in planning.
For healthcare, finance, and public-sector work, identify the client stakeholders who must review scripts and source materials before production begins. Ask one clear question: does this video include people or information that needs approval beyond the main marketing team? If the answer is unclear, pause the asset and seek direction from the client's authorized legal, privacy, or communications contact. Record the decision with the final approval materials.
Turn the checklist into a production gate
Use this checklist at discovery, before production begins, and again before publication. Identify personal elements in the brief and source files. Then define approved use, tool access, retention, deletion, and the stakeholders who can authorize release. For sensitive sectors, schedule escalation early enough to protect the production timeline.
The review deliverable should be a documented list of decisions, open questions, approved uses, access controls, retention actions, and release approvals. Include the project owner, marketing or communications lead, production team, and the client contacts responsible for approval. Legal or privacy counsel should confirm jurisdiction-specific conclusions before publication.
KuarkTek Digital begins projects with discovery, audience understanding, industry research, and a tailored communication strategy. Bring your proposed AI video workflow, source materials, publication plan, and approval contacts.
Book an AI video compliance review. Share your project scope and intended channels. The next step is a focused discussion of the personal data, approval, access, and retention questions to resolve before identifiable material enters the production pipeline.
_This content was checked against OTHER regulations using curated compliance rules. Final legal review before publishing is the user's responsibility._
