It’s difficult—the main technical thing is probably identifying (important) non fakes, rather than identifying fakes, which seems very difficult (though maybe another useful layer). The main two mechanisms I think are reputation-based (the point being to make it costly or impossible to fake a reputation for honesty) and cryptographic-based (the point being you can prove A didn’t produce X by proving that H produced X).
Do you have ideas for how to deal with counterfeit observations or (meta)data (e.g. deepfaked videos)?
It’s difficult—the main technical thing is probably identifying (important) non fakes, rather than identifying fakes, which seems very difficult (though maybe another useful layer). The main two mechanisms I think are reputation-based (the point being to make it costly or impossible to fake a reputation for honesty) and cryptographic-based (the point being you can prove A didn’t produce X by proving that H produced X).