Synthetic Media

Synthetic media is the umbrella term for any media content — video, audio, images, or combinations — that is artificially generated or substantially modified by AI systems rather than captured from real events. The category includes: fully AI-generated video (no source footage, created from text prompts); AI voice synthesis and cloning (AI-generated speech using a person's voice characteristics); deepfake video (real footage of a person modified to show them saying or doing things they didn't); AI avatars (synthetic presenters generated from scratch or built on a real person's likeness); and AI-enhanced footage (real footage substantially modified in appearance by AI tools). The technical capability to produce high-quality synthetic media at scale is less than a decade old and continues advancing rapidly, creating new creative possibilities and new verification challenges simultaneously.

The ethics and disclosure requirements for synthetic media are actively evolving. Legitimate B2B uses of synthetic media — AI avatars built with explicit consent from the person whose likeness is used, AI-generated b-roll clearly labeled as AI-created, AI voice synthesis of licensed voice actors or consenting employees — differ fundamentally from deceptive uses: non-consensual deepfakes, fake customer testimonials generated without real customers, or synthetic media designed to appear as authentic recorded footage. The distinction matters enormously: synthetic media disclosed as AI-generated is a content production tool; synthetic media presented deceptively as authentic is potentially defamatory, fraudulent, or an identity violation depending on how it's used. Platform policies, regulatory frameworks, and audience expectations around disclosure are all still forming.

For B2B content teams, the practical question isn't whether to use synthetic media tools but how to use them with appropriate disclosure and consent frameworks. Using an AI avatar built on a consenting spokesperson's likeness, clearly labeled as AI-generated, for product explainers is a legitimate production efficiency. Generating realistic-sounding testimonials from fictional customers is a compliance and trust risk. The emerging best practice is explicit disclosure — "this video includes AI-generated content" — particularly for customer-facing materials where authenticity claims are implied. Building internal policies around synthetic media use, including consent frameworks for using real people's likenesses in AI-generated content and disclosure standards for AI-generated customer communications, is infrastructure that protects both legal compliance and audience trust.