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Audio & Video Manipulation Detection
AI/ML

Audio & Video Manipulation Detection

Detecting the manipulation of audio and visual assets

Concept

Detecting manipulated or AI-generated content assets at scale, automatically.

Longer Description

Starting with the advent of GANs and progressing to more modern approaches to generative AI, we now have an explosion of AI-generated or manipulated content. We used to rely on the premise of “seeing is believing” but that has since been eroded. A product or product suite built around this idea of detecting manipulation is one that should exist in the world. Whether or not it matters is a different question (see related reading from our team below).

Other thoughts

  • It’s very possible that this happens at the creation layer.
  • A company built around this must have very strong/defined views around GTM as there are a variety of sectors where this is “nice to have” but not mission critical, and in fact many where it is mission critical may not have enough spend.
  • This perhaps curtails into the idea of knowing what assets went into generating a given novel asset as a payback mechanism to creators. We think this is wishful thinking but Shutterstock’s recent advances are interesting to watch.

Comparable Companies

  • Snopes
  • Variety of on-chain solutions or pixel detection solutions
  • The generative media companies themselves

Related Reading

  • Audio & Video Manipulation by Michael Dempsey
  • Full twitter thread: https://twitter.com/mhdempsey/status/851476978519744515
  • Truth Algorithms aren’t helpful for fake news by Michael Dempsey
  • https://www.unite.ai/deepfake-detectors-pursue-new-ground-latent-diffusion-models-and-gans/
  • https://www.darpa.mil/program/reverse-engineering-of-deceptions
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