AI labeling is the subject of this Short video for creators and viewers of AI edited voices, images and videos. The full transcription and questions and answers follow the video.
This video first went up on YouTube on June 2, 2025. The written post was added on November 10, 2026.
Table of Contents
Why Does AI Labeling Matter for Images, Voices and Videos?
AI labeling can matter because it may tell people when an image, video or voice was clearly created with AI and has no base of organic truth. Using AI to clean up your own voice is one thing, in Loren Weisman’s view, while faking a conversation or using somebody else’s voice is a different thing that can call for a clear label.
- Using AI to edit or clean up your own voice can be a different thing from faking a conversation with AI.
- Using somebody else’s voice or pretending to have a conversation in audio or video may be where a clear AI label can help.
- Labels such as generated by AI or made with AI can tell viewers that an image or video was clearly created with AI.
- Labeling AI may not mean stopping AI, but bringing clarity, honor and transparency to how it is used.
AI Labeling: The Full Transcription
Cleaning Up a Voice or Faking a Conversation
I think it’s one thing when you are using AI to edit your voice, clean up your voice, clean up something from an equalization mix. I think it’s a different thing when you’re having a conversation, or you’re using somebody else’s voice, or you’re pretending as if you’re having this conversation from an audio or even a visual standpoint.
Labels on What Was Created With AI
All the more reason why I feel AI needs to come to the next level. And this is an absolute need of transparency and honesty online that a generated by AI, made with AI, AI generated, whatever that it is, there listed in an image or in a video that was clearly created with AI and does not have any base of organic foundational truth to it.
Again, I’m not saying stopping AI, but having that clarity, that authority, that honor, that transparency. I believe that can help us a great deal as we move forward with AI.
AI Labeling and Disclosure in My Talks
What should a business disclose about its use of artificial intelligence, and what happens when it does not?
Questions and Answers
What is the difference between AI editing and AI generated content?
AI editing can mean using AI to clean up your own voice or fix something from an equalization mix. AI generated content that fakes a conversation or uses somebody else’s voice may be a different thing that can call for a clear label.
Why label AI generated images and videos?
Labeling AI generated images and videos can give people transparency when the content was clearly created with AI and has no base of organic, foundational truth. Labels such as made with AI or AI generated may help viewers see what they are looking at.
Is AI labeling meant to stop people from using AI?
AI labeling, in Loren Weisman’s view, is not about stopping AI. Clarity, honor and transparency in how AI is used can help a great deal as people move forward with AI.
More Videos and the Podcast
- Brand Comms and Ops: All Things Considered Shorts on YouTube
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- Wait What Really OK podcast
Loren Weisman is a Brand Communications and Optics Strategist who specializes in illuminating authoritative intelligence and amplifying authentic experts.
Weisman is the host of the brand communications and optics podcast Wait What Really OK.
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AI Labeling for Voices, Images and Videos