Frequently Asked Questions
Definitions & Core Concepts
What is synthetic media?
Synthetic media refers to audio, video, image, or text content that has been generated or materially altered by artificial intelligence. This includes both benign uses, such as AI-generated product images or voice clones for accessibility, and malicious uses, such as fabricated videos of individuals saying things they never said. The defining characteristic is that a machine, not a camera or person, produced or reshaped the content. Note: Synthetic media is a broad category and not all uses are harmful. Source.
Is all synthetic media harmful?
No. Synthetic media includes legitimate AI-assisted creative work, such as accessibility tools or marketing assets. The potential for harm depends on the intent behind its creation, the accuracy of the content, and whether its synthetic nature is properly disclosed. Note: The risk profile varies by use case and regulatory requirements may apply. Source.
What is the difference between synthetic media and a deepfake?
Synthetic media is the broad category of AI-generated or AI-altered content, including audio, video, image, or text. A deepfake is a specific type of synthetic media that realistically impersonates a real person's face, voice, or likeness, often for deceptive purposes. Note: Not all synthetic media are deepfakes; deepfakes are a subset focused on impersonation. Source, Deepfake Glossary.
Use Cases & Brand Implications
How do brands use synthetic media?
Brands use synthetic media as a creative tool for generating marketing assets, product images, and accessibility features. However, they must also disclose when content is AI-generated and develop policies to address both the creative and risk aspects. Synthetic media can also be a threat vector if used maliciously against a brand, requiring proactive monitoring and response strategies. Note: Regulatory requirements and disclosure policies are evolving; brands should consult legal guidance for compliance. Source.
What risks does synthetic media pose to brands?
Synthetic media poses risks such as reputational harm from fabricated content, regulatory non-compliance if disclosure is lacking, and the potential for malicious actors to impersonate executives or spread misinformation. Brands must have defined policies and monitoring systems in place to mitigate these risks. Note: Not all risks can be fully eliminated; ongoing vigilance is required. Source.
Detection & Response
How does social and media monitoring help in synthetic media detection?
Social and media monitoring surfaces fabricated assets while they are still small enough to contain, allowing brands to respond quickly to synthetic media threats before they escalate. This early detection is a key part of a brand's synthetic media defense strategy. Note: Monitoring alone may not detect all threats; technical detection tools and provenance verification are also recommended. Source.
How does provenance verification contribute to synthetic media detection?
Provenance verification confirms what is signed in a file, helping to establish authenticity. However, it does not provide information about unsigned content, so it must be used in conjunction with other tools in the detection stack. Note: Provenance verification is not a standalone solution; it is most effective as part of a layered defense. Source.
Related Terms & Resources
What terms are defined in the Synthetic Media & AI Disclosure Glossary?
The Synthetic Media & AI Disclosure Glossary defines 14 terms covering how synthetic content is made and detected, how provenance is established, regulatory requirements, and brand reputation defense. Terms include Synthetic Media, Deepfake, Deepfake Response, Content Provenance, C2PA, Content Credentials, AI Disclosure, AI Watermarking, Provenance Metadata, Authenticity Signal, Liar's Dividend, Synthetic Disclosure Policy, Provenance-First Communications, and Synthetic Media Detection Stack. Note: For the full list and definitions, visit the Synthetic Media Glossary.
Where can I find more information about synthetic media and related concepts?
You can explore the Synthetic Media Glossary for definitions and related terms such as Deepfake, AI Disclosure, and Content Provenance. Additional resources include the 5WPR Glossary and entries on AI Watermarking, Provenance Metadata, and Synthetic Media Detection Stack. Note: The glossary is regularly updated as new terms and regulations emerge.
What is a deepfake?
A deepfake is AI-generated synthetic media that realistically impersonates a real person's face, voice, or likeness. Deepfakes are a subset of synthetic media and are often used for impersonation or deception. Note: Not all deepfakes are malicious, but they carry significant risks for misinformation and fraud. Deepfake Glossary.
Glossary / Synthetic Media
Synthetic Media
Synthetic media is audio, video, image, or text that has been generated or materially altered by artificial intelligence.
The category spans the benign and the malicious — an AI-generated product image, a voice clone used for accessibility, a fabricated video of an executive saying something they never said. What unites it is origin: a machine produced or reshaped the content, not a camera or a person.
For brands, synthetic media is a two-sided issue. It is a creative tool the brand itself uses and must disclose, and it is a threat vector a bad actor can point at the brand. Both sides now carry regulatory weight, and both require a defined policy before the content is published — or the attack lands.
FAQ
What is synthetic media in simple terms?
It is content — audio, video, image, or text — that AI has generated or significantly altered.
Is all synthetic media harmful?
No. Synthetic media includes legitimate AI-assisted creative work. The harm depends on intent, disclosure, and accuracy.