AI can make decisions, create deep fakes, and now, clone voices.
It may be that the next big business opportunity lies in creating 'anti-AI' technology just as it did with antiviruses in the 90's and 2000's
It may be that the next big business opportunity lies in creating 'anti-AI' technology just as it did with antiviruses in the 90's and 2000's
Link to talk: https://www.youtube.com/watch?v=ObhK8lUfIlc
The anti-spam software loses because eventually having self-aware AI view spam calls 24/7 was considered torture and they weren't allowed to go that far.
1. (edit) It occurred to me that some people may wish to manage the public keys independent of (say, Apple) and they could distribute via keybase or key-signing parties, so they actually don't have to suffer low-trust warnings. Now that I think of it, instead of merely signing streams, they could be signed and encrypted using recipients PK for 1:1 transmissions. Obviously law enforcement won't be a fan
You conflate content trustworthyness with origin sureity but a CA system doesn't even provide that.
Being good at Photoshop is really difficult and producing good fakes is extremely time consuming. Today, even with a Hollywood budget, most such effects still look off. However, the industry has gotten much with actor enhancement for example generally going unnoticed.
Which I think is real issue, this stuff is becoming easier over time. AI could be the tipping point where eventually people just stop trusting images and video. But, that transition is gonna be difficult.
Furthermore, GAN discriminators are (as I understand it) often hobbled a bit to ensure that the generator can make progress on the loss function. An always-correct D doesn't provide a useful gradient.
Looking at the papers I must say I think the ability to fool humans is a scale problem, not a fundamental limitation. Already GAN produced images and sounds survive "normal" human scrutiny: if you have no reason to suspect foul play you won't see it. If you really go looking, you'll see it.
For video and audio, I imagine a combination of hardware signing, perhaps with the camera itself living on an isolated, Secure Enclave-like chip, and sending hashes of (incoming images/video * deviceID * trustedTimestamp) to a blockchain or some other public distributed ledger. Getting the timestamp from a service that keeps its own record adds further security.
This obviously requires an internet connection, and would likely be useful mostly for news and government agencies, law enforcement. But if the culture is affected enough by deepfakes, I can imagine it becoming more ubiquitous. The parts are all there, it’s a question of utility.
It’s acknowledging that using AI to catch AI fakes is a fool’s errand, and relies instead on the premise that hashing a raw data stream is much faster than producing a good fake, and that a secure device key is secure. You’d need both for it to work, otherwise you can generate a deepfake beforehand and get the device to sign a fake stream. That may be easier to do than I think; this is not my area of expertise.
[0] https://en.wikipedia.org/wiki/Generative_adversarial_network