[h-jones]

We do have methods to detect deepfakes and it often works very well (at least for any given generator, perhaps not multiple generators), but you're right, at some point deepfakes will be indistinguishable from real media. At that point I think the problem is largely outside the domain of computer science and we will need to start redefining "trust" looks like.

[jakear]

Anyone else find it mildly(/extremely) distressing that a large part of our industry is dedicated to creating technology that provides little-to-no value to society, but creates enormous opportunities for great societal damage?

We then release the tech to the wild without any proposed way to address the problems, instead saying “the problems this causes are outside the domain of CS, so I won’t bother considering them – besides, if I didn’t create these problems someone else would have”

[h-jones]

I hope I didn't make it seem like I was pushing the solution onto others when I said that it will move outside the domain of computer science. My research is in the area of detecting deep fakes.

You're definitely right about how little we attend to the consequences of our advancements, especially in the field of AI/ML. This area is fraught with ethical and moral issues that have taken a backseat to the ideal of progress and I think we are making a mistake there.

[EGreg]

If there were B and C that would mitigate the bad things in more powerful A, then fine

But otherwise delaying progress what if in the end a more powerful A will eventually make any B and C irrelevant? All you’re doing is kicking the can down the road maybe?

[EGreg]

“Too sweet”

https://economicsbyfilm.net/blog/2015/11/25/is-ai-progress