What the NIST framework is
NIST describes its AI Risk Management Framework as a voluntary resource to help organizations manage risks associated with AI systems. Its structure uses the functions Govern, Map, Measure, and Manage to organize risk-management activity across an AI system’s lifecycle.
The framework is not a law, a certification, or a guarantee that an AI-assisted production is safe. It offers a way to ask who is accountable, what context matters, how risks are evaluated, and how a team responds when an issue appears.
Apply governance to the video workflow
If AI tools assist with storyboards, voice, image generation, captions, or edits, document the tool’s role, approved inputs, rights review, and human decision-maker. Check whether generated material misstates a product, imitates a person, or introduces details that were not in the approved brief.
Map risks according to the project: likeness permission, copyrighted source material, factual claims, privacy, bias, and audience expectations may require different controls. Do not assume that an efficient generation workflow resolves ownership, consent, or disclosure questions.
Keep creative accountability visible
Name who verifies the final script, image, audio, captions, and claims. Preserve source files and review notes according to the client’s governance and retention policies, and pause publication when provenance or permission is uncertain.
For Video Marketing, NIST’s framework can help structure the questions around AI assistance without turning risk management into a box-checking exercise. It is a voluntary framework, so interpret it as a planning aid and obtain legal or technical advice where the work calls for it.
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