A judge in Washington state has blocked video evidence that’s been “AI-enhanced” from being submitted in a triple murder trial. And that’s a good thing, given the fact that too many people seem to think applying an AI filter can give them access to secret visual data.

  • rdri@lemmy.world
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    8 months ago

    How is guided pattern recognition is different from imagination (and therefore intelligence) though?

    • Natanael@slrpnk.net
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      8 months ago

      There’s a lot of other layers in brains that’s missing in machine learning. These models don’t form world models and somedon’t have an understanding of facts and have no means of ensuring consistency, to start with.

      • rdri@lemmy.world
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        8 months ago

        I mean if we consider just the reconstruction process used in digital photos it feels like current ai models are already very accurate and won’t be improved by much even if we made them closer to real “intelligence”.

        The point is that reconstruction itself can’t reliably produce missing details, not that a “properly intelligent” mind will be any better at it than current ai.

    • Jesus_666@lemmy.world
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      8 months ago

      Your comment is a good reason why these tools have no place in the courtroom: The things you describe as imagination.

      They’re image generation tools that will generate a new, unrelated image that happens to look similar to the source image. They don’t reconstruct anything and they have no understanding of what the image contains. All they know is which color the pixels in the output might probably have given the pixels in the input.

      It’s no different from giving a description of a scene to an author, asking them to come up with any event that might have happened in such a location and then trying to use the resulting short story to convict someone.

      • rdri@lemmy.world
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        8 months ago

        They don’t reconstruct anything and they have no understanding of what the image contains.

        With enough training they, in fact, will have some understanding. But that still leaves us with that “enhance meme” problem aka the limited resolution of the original data. There are no means to discover what exactly was hidden between visible pixels, only approximate. So yes you are correct, just described it a bit differently.