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AI Watermarking Won’t Curb Disinformation

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Content provided by BlueDot Impact. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BlueDot Impact or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Generative AI allows people to produce piles upon piles of images and words very quickly. It would be nice if there were some way to reliably distinguish AI-generated content from human-generated content. It would help people avoid endlessly arguing with bots online, or believing what a fake image purports to show. One common proposal is that big companies should incorporate watermarks into the outputs of their AIs. For instance, this could involve taking an image and subtly changing many pixels in a way that’s undetectable to the eye but detectable to a computer program. Or it could involve swapping words for synonyms in a predictable way so that the meaning is unchanged, but a program could readily determine the text was generated by an AI.

Unfortunately, watermarking schemes are unlikely to work. So far most have proven easy to remove, and it’s likely that future schemes will have similar problems.
Source:
https://transformer-circuits.pub/2023/monosemantic-features/index.html
Narrated for AI Safety Fundamentals by Perrin Walker

A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.

  continue reading

Chapters

1. AI Watermarking Won’t Curb Disinformation (00:00:00)

2. Text-based Watermarks (00:05:22)

80 episodes

Artwork
iconShare
 
Manage episode 424744794 series 3498845
Content provided by BlueDot Impact. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by BlueDot Impact or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Generative AI allows people to produce piles upon piles of images and words very quickly. It would be nice if there were some way to reliably distinguish AI-generated content from human-generated content. It would help people avoid endlessly arguing with bots online, or believing what a fake image purports to show. One common proposal is that big companies should incorporate watermarks into the outputs of their AIs. For instance, this could involve taking an image and subtly changing many pixels in a way that’s undetectable to the eye but detectable to a computer program. Or it could involve swapping words for synonyms in a predictable way so that the meaning is unchanged, but a program could readily determine the text was generated by an AI.

Unfortunately, watermarking schemes are unlikely to work. So far most have proven easy to remove, and it’s likely that future schemes will have similar problems.
Source:
https://transformer-circuits.pub/2023/monosemantic-features/index.html
Narrated for AI Safety Fundamentals by Perrin Walker

A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.

  continue reading

Chapters

1. AI Watermarking Won’t Curb Disinformation (00:00:00)

2. Text-based Watermarks (00:05:22)

80 episodes

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