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If AI and deep fakes can listen to a video or audio of a person and then are able to successfully reproduce such person, what does this entail for trials?

It used to be that recording audio or video would give strong information which often would weigh more than witnesses, but soon enough perfect forgery could enter the courtroom just as it's doing in social media (where you're not sworn to tell the truth, though the consequences are real)

I know fake information is a problem everywhere, but I started wondering what will happen when it creeps in testimonies.

How will we defend ourselves, while still using real videos or audios as proof? Or are we just doomed?

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[-] webghost0101@sopuli.xyz -3 points 3 days ago* (last edited 3 days ago)

For the longest time now, from before AI, before NFT was a thing i had an idea to incorporating blockchain tech into real life media footage to combat the rise of misinformation.

The metadata, original author would be stored on this chain the moment footage is recorded. The biggest challenge is that this means the devices themselves need to be connected.

Adoption would be slow but i imagined news and official channels make use of this tech first. Eventually all footage outside of this will be seen as not trustworthy

Then NFTBros came along and people have shit on this idea ever since. Some days i feel that was a conspiracy to ruim out perception of potential but more likely humans where just greedy.

I still believe this could work. Detailed example below:

The system works with a fair amount of transparency, verifiable digital signatures for recording devices and their owners. Professional cameras and organizations would have publicly known IDs, while individuals could choose to remain pseudonymous authors but would need to build credibility over time.

Let's say BBC records an interview. When viewers watch this content on any platform, they can access blockchain verification through an embedded interface (perhaps a small icon in the corner). This shows the complete chain of custody from recording to broadcast.

The system verifies content through computational comparisons. When a raw interview is edited into a final piece:

  • Each original clip has a unique blockchain signature
  • The final edited version's signature can be compared against source material
  • Automated analysis shows what percentage of original footage matches
  • Modifications like color correction or audio adjustments are detected through signature differences
  • Additional elements like station logos or intro sequences have their own verified identifiers
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this post was submitted on 27 Oct 2024
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